This whitepaper walks through the integration of Tableau Software with HDP and provides a reference architecture and solution set for modernizing your data architecture for big data analytics applications covering:
-- Use Cases for Big Data
-- Integrating Hortonworks Data Platform and Tableau Software
-- Reference Architecture for Big Data Analytics
-- Essential Technical Components
Best Practices for Hadoop Data Analysis with Tableau and Hortonworks Data Pla...Hortonworks
This how-to guide is packed with tips and tricks to get started and then get the most out of Tableau and HDP including unique features of the connector, performance best practices and a few gotchas covering:
-- Pre-requisites and basic installation.
-- Performing On-the-Fly ETL
-- Working with UDFs or MapReduce
-- Performance Techniques
-- Known Limitations
Predictive Analytics and Machine Learning…with SAS and Apache HadoopHortonworks
In this interactive webinar, we'll walk through use cases on how you can use advanced analytics like SAS Visual Statistics and In-Memory Statistic with Hortonworks’ data platform (HDP) to reveal insights in your big data and redefine how your organization solves complex problems.
Data Governance in Apache Falcon - Hadoop Summit Brussels 2015 Seetharam Venkatesh
Data Governance is a fairly important element in the enterprise data management world. As Hadoop makes it way to enterprises, there is a pressing need for a comprehensive data governance solution in this space. Apache Falcon looks at big data management in a holistic way by capturing metadata for governance policies and changes for every data assets and data applications and there by enabling comprehensive lineage, change management control and access control etc. In this talk we cover how Apache Falcon (incubating) addresses some of the key challenges in this area and discuss some case studies of how Apache Falcon is used to implement Data Governance in enterprises on big data platforms.
Discover HDP 2.2: Apache Falcon for Hadoop Data GovernanceHortonworks
Hortonworks Data Platform 2.2 includes Apache Falcon for Hadoop data governance. In this 30-minute webinar, we discussed why the enterprise needs Falcon for governance, and demonstrated data pipeline construction, policies for data retention and management with Ambari. We also discussed new innovations including: integration of user authentication, data lineage, an improved interface for pipeline management, and the new Falcon capability to establish an automated policy for cloud backup to Microsoft Azure or Amazon S3.
Discover HDP 2.1: Apache Solr for Hadoop SearchHortonworks
Apache Solr is the open source platform for searching data stored in Hadoop. Solr powers search on many of the world's largest Internet sites, enabling powerful full-text search and near real-time indexing. Whether users search for tabular, text, geo-location or sensor data in Hadoop, they find it quickly with Apache Solr. Hortonworks Data Platform 2.1 includes Apache Solr.
In this deck from their 30-minute webinar, Rohit Bakhshi, Hortonworks product manager, and Paul Codding, Hortonworks solution engineer describe how Solr works within HDP's YARN-based architecture.
Supporting Financial Services with a More Flexible Approach to Big DataHortonworks
Financial services companies can reap tremendous benefits from 'Big Data' and they have moved quickly to deploy it. But these companies also place heavy demands on 'Big Data' infrastructure for flexibility, reliability and performance. In this webinar, Hortonworks joins WANDisco to look at three examples of using 'Big Data' to get a more comprehensive view of customer behavior and activity in the banking and insurance industries. Then we'll pull out the common threads from these examples, and see how a flexible next-generation Hadoop architecture lets you get a step up on improving your business performance. Join us to learn:
How to leverage data from across an entire global enterprise
How to analyze a wide variety of structured and unstructured data to get quick, meaningful answers to critical questions
What industry leaders have put in place
Best Practices for Hadoop Data Analysis with Tableau and Hortonworks Data Pla...Hortonworks
This how-to guide is packed with tips and tricks to get started and then get the most out of Tableau and HDP including unique features of the connector, performance best practices and a few gotchas covering:
-- Pre-requisites and basic installation.
-- Performing On-the-Fly ETL
-- Working with UDFs or MapReduce
-- Performance Techniques
-- Known Limitations
Predictive Analytics and Machine Learning…with SAS and Apache HadoopHortonworks
In this interactive webinar, we'll walk through use cases on how you can use advanced analytics like SAS Visual Statistics and In-Memory Statistic with Hortonworks’ data platform (HDP) to reveal insights in your big data and redefine how your organization solves complex problems.
Data Governance in Apache Falcon - Hadoop Summit Brussels 2015 Seetharam Venkatesh
Data Governance is a fairly important element in the enterprise data management world. As Hadoop makes it way to enterprises, there is a pressing need for a comprehensive data governance solution in this space. Apache Falcon looks at big data management in a holistic way by capturing metadata for governance policies and changes for every data assets and data applications and there by enabling comprehensive lineage, change management control and access control etc. In this talk we cover how Apache Falcon (incubating) addresses some of the key challenges in this area and discuss some case studies of how Apache Falcon is used to implement Data Governance in enterprises on big data platforms.
Discover HDP 2.2: Apache Falcon for Hadoop Data GovernanceHortonworks
Hortonworks Data Platform 2.2 includes Apache Falcon for Hadoop data governance. In this 30-minute webinar, we discussed why the enterprise needs Falcon for governance, and demonstrated data pipeline construction, policies for data retention and management with Ambari. We also discussed new innovations including: integration of user authentication, data lineage, an improved interface for pipeline management, and the new Falcon capability to establish an automated policy for cloud backup to Microsoft Azure or Amazon S3.
Discover HDP 2.1: Apache Solr for Hadoop SearchHortonworks
Apache Solr is the open source platform for searching data stored in Hadoop. Solr powers search on many of the world's largest Internet sites, enabling powerful full-text search and near real-time indexing. Whether users search for tabular, text, geo-location or sensor data in Hadoop, they find it quickly with Apache Solr. Hortonworks Data Platform 2.1 includes Apache Solr.
In this deck from their 30-minute webinar, Rohit Bakhshi, Hortonworks product manager, and Paul Codding, Hortonworks solution engineer describe how Solr works within HDP's YARN-based architecture.
Supporting Financial Services with a More Flexible Approach to Big DataHortonworks
Financial services companies can reap tremendous benefits from 'Big Data' and they have moved quickly to deploy it. But these companies also place heavy demands on 'Big Data' infrastructure for flexibility, reliability and performance. In this webinar, Hortonworks joins WANDisco to look at three examples of using 'Big Data' to get a more comprehensive view of customer behavior and activity in the banking and insurance industries. Then we'll pull out the common threads from these examples, and see how a flexible next-generation Hadoop architecture lets you get a step up on improving your business performance. Join us to learn:
How to leverage data from across an entire global enterprise
How to analyze a wide variety of structured and unstructured data to get quick, meaningful answers to critical questions
What industry leaders have put in place
Hortonworks - What's Possible with a Modern Data Architecture?Hortonworks
This is Mark Ledbetter's presentation from the September 22, 2014 Hortonworks webinar “What’s Possible with a Modern Data Architecture?” Mark is vice president for industry solutions at Hortonworks. He has more than twenty-five years experience in the software industry with a focus on Retail and supply chain.
A Comprehensive Approach to Building your Big Data - with Cisco, Hortonworks ...Hortonworks
Companies in every industry look for ways to explore new data types and large data sets that were previously too big to capture, store and process. They need to unlock insights from data such as clickstream, geo-location, sensor, server log, social, text and video data. However, becoming a data-first enterprise comes with many challenges.
Join this webinar organized by three leaders in their respective fields and learn from our experts how you can accelerate the implementation of a scalable, cost-efficient and robust Big Data solution. Cisco, Hortonworks and Red Hat will explore how new data sets can enrich existing analytic applications with new perspectives and insights and how they can help you drive the creation of innovative new apps that provide new value to your business.
Optimizing your Modern Data Architecture - with Attunity, RCG Global Services...Hortonworks
Today’s enterprises are challenged with capturing large amounts of data from a number of sources in a variety of formats, and then storing it in a cost-effective, timely manner. With your current data warehouse, this may seem overwhelming. It doesn’t have to be. With a Hadoop-based modern data warehouse, you can overcome these challenges and get meaningful insights from real-time data.
Want to learn how? Join experts from Attunity, Hortonworks, and RCG Global Services for a live webinar - where we will be discussing enterprise data warehouse optimization. You will learn how to:
•Rebalance your data warehouse by identifying unused data and resource-intensive workloads that can be moved to Hadoop.
•Seamlessly integrate your current enterprise data warehouse with a Modern Data Architecture.
•Better utilize data assets to reduce costs while realizing more value from your data.
•Develop a roadmap for implementing the Hadoop-based Modern Data Architecture and Data Lake.
Predicting Customer Experience through Hadoop and Customer Behavior GraphsHortonworks
Enhancing a customer experience has become essential for communication service providers to effectively manage customer churn and build a strong, long lasting relationship with their customers. This has become increasingly challenging as customer interactions occur across multiple channels. Understanding customer behavior and how it applies across channels is the key to ensuring the best level of experience is achieved by each customer.
In this webinar Hortonworks and Apigee discuss how service providers can capture and visualize customer behavior across customer interaction points like call center events (IVR and chat) and combine it with network data, to predict customer calls and patterns of digital channel abandonment using Hadoop and predictive analysis and visualization tools..
We will identify ways to develop a 360 degree view across a customer’s household through an HDP Data Lake and visualize customer interaction patterns and predict expected behavior using Apigee Insights to identify and initiate the Next-Best-Action for a customer to ensure a superior level of customer experience.
Starting Small and Scaling Big with Hadoop (Talend and Hortonworks webinar)) ...Hortonworks
No matter if you are new to Hadoop or have a mature cluster in production, scale will be a critical factor of your success with Hadoop. Are you ready to take the next big step as you scale out your data architecture?
Talend and Hortonworks discuss where we will help you learn how to implement an effective big data and Hadoop strategy across your IT infrastructure. You will learn:
How to grow a pilot into production
How to scale-out architecture & systems affordably
How to leverage the flexibility of Hadoop to optimize your data integration processes
Recording: http://www.talend.com/resources/webinars/starting-small-and-scaling-big-with-hadoop
Implementing a Data Lake with Enterprise Grade Data GovernanceHortonworks
Hadoop provides a powerful platform for data science and analytics, where data engineers and data scientists can leverage myriad data from external and internal data sources to uncover new insight. Such power is also presenting a few new challenges. On the one hand, the business wants more and more self-service, and on the other hand IT is trying to keep up with the demand for data, while maintaining architecture and data governance standards.
In this webinar, Andrew Ahn, Data Governance Initiative Product Manager at Hortonworks, will address the gaps and offer best practices in providing end-to-end data governance in HDP. Andrew Ahn will be followed by Oliver Claude of Waterline Data, who will share a case study of how Waterline Data Inventory works with HDP in the Modern Data Architecture to automate the discovery of business and compliance metadata, data lineage, as well as data quality metrics.
Hortonworks Data In Motion Series Part 4Hortonworks
How real-world enterprises leverage Hortonworks DataFlow/Apache NiFi to to create real-time data flows in record time to enable new business opportunities, improve customer retention, accelerate big data projects from months to minutes through increased efficiency and reduced costs.
On-Demand webinar: http://hortonworks.com/webinar/paradigm-shift-business-usual-real-time-dataflows-record-time/
Near real-time, big data analytics is a reality via a new data pattern that avoids the latency and overhead of legacy ETL–the 3 T’s of Hadoop: Transfer, Transform, and Translate. Transfer: Once a Hadoop infrastructure is in place, a mandate is needed to immediately and continuously transfer all enterprise data, from external and internal sources and through different existing systems, into Hadoop. Previously, enterprise data was isolated, disconnected and monolithically segmented. Through this T, various source data are consolidated and centralized in Hadoop almost as they are generated in near real-time. Transform: Most of the enterprise data, when flowing into Hadoop, is transactional in nature. Analytics requires data be transformed from record-based OLTP form to column-based OLAP. This T is not the same T in ETL as we need to retain the granularity in the data feeds. The key is to transform in-place within Hadoop, without further data movement from Hadoop to other legacy systems. Translate: We pre-compute or provide on-the-fly views of analytical data, exposed for consumption. We facilitate analysis and reporting, for both scheduled and ad hoc needs, to be interactive with the data for analysts and end users, integrated in and on top of Hadoop.
Hortonworks Data in Motion Webinar Series - Part 1Hortonworks
VIEW THE ON-DEMAND WEBINAR: http://hortonworks.com/webinar/introduction-hortonworks-dataflow/
Learn about Hortonworks DataFlow (HDFTM) and how you can easily augment your existing data systems – Hadoop and otherwise. Learn what Dataflow is all about and how Apache NiFi, MiNiFi, Kafka and Storm work together for streaming analytics.
Hp Converged Systems and Hortonworks - Webinar SlidesHortonworks
Our experts will walk you through some key design considerations when deploying a Hadoop cluster in production. We'll also share practical best practices around HP and Hortonworks Data Platform to get you started on building your modern data architecture.
Learn how to:
- Leverage best practices for deployment
- Choose a deployment model
- Design your Hadoop cluster
- Build a Modern Data Architecture and vision for the Data Lake
Introduction to Hortonworks Data Platform for WindowsHortonworks
According to IDC, Windows Servers run more than 50% of the servers in the Enterprise Data Center. Hortonworks has worked closely with Microsoft to port Apache Hadoop to Windows to enable organizations to take advantage of this emerging Big Data technology. Join us in this informative webinar to hear about the new Hortonworks Data Platform for Windows.
In less than an hour, you’ll learn:
-Key capabilities available in Hortonworks Data Platform for Windows
-How HDP for Windows integrates with Microsoft tools
-Key workloads and use cases for driving Hadoop today
Hadoop Essentials -- The What, Why and How to Meet Agency ObjectivesCloudera, Inc.
This session will provide an executive overview of the Apache Hadoop ecosystem, its basic concepts, and its real-world applications. Attendees will learn how organizations worldwide are using the latest tools and strategies to harness their enterprise information to solve business problems and the types of data analysis commonly powered by Hadoop. Learn how various projects make up the Apache Hadoop ecosystem and the role each plays to improve data storage, management, interaction, and analysis. This is a valuable opportunity to gain insights into Hadoop functionality and how it can be applied to address compelling business challenges in your agency.
Hortonworks - What's Possible with a Modern Data Architecture?Hortonworks
This is Mark Ledbetter's presentation from the September 22, 2014 Hortonworks webinar “What’s Possible with a Modern Data Architecture?” Mark is vice president for industry solutions at Hortonworks. He has more than twenty-five years experience in the software industry with a focus on Retail and supply chain.
A Comprehensive Approach to Building your Big Data - with Cisco, Hortonworks ...Hortonworks
Companies in every industry look for ways to explore new data types and large data sets that were previously too big to capture, store and process. They need to unlock insights from data such as clickstream, geo-location, sensor, server log, social, text and video data. However, becoming a data-first enterprise comes with many challenges.
Join this webinar organized by three leaders in their respective fields and learn from our experts how you can accelerate the implementation of a scalable, cost-efficient and robust Big Data solution. Cisco, Hortonworks and Red Hat will explore how new data sets can enrich existing analytic applications with new perspectives and insights and how they can help you drive the creation of innovative new apps that provide new value to your business.
Optimizing your Modern Data Architecture - with Attunity, RCG Global Services...Hortonworks
Today’s enterprises are challenged with capturing large amounts of data from a number of sources in a variety of formats, and then storing it in a cost-effective, timely manner. With your current data warehouse, this may seem overwhelming. It doesn’t have to be. With a Hadoop-based modern data warehouse, you can overcome these challenges and get meaningful insights from real-time data.
Want to learn how? Join experts from Attunity, Hortonworks, and RCG Global Services for a live webinar - where we will be discussing enterprise data warehouse optimization. You will learn how to:
•Rebalance your data warehouse by identifying unused data and resource-intensive workloads that can be moved to Hadoop.
•Seamlessly integrate your current enterprise data warehouse with a Modern Data Architecture.
•Better utilize data assets to reduce costs while realizing more value from your data.
•Develop a roadmap for implementing the Hadoop-based Modern Data Architecture and Data Lake.
Predicting Customer Experience through Hadoop and Customer Behavior GraphsHortonworks
Enhancing a customer experience has become essential for communication service providers to effectively manage customer churn and build a strong, long lasting relationship with their customers. This has become increasingly challenging as customer interactions occur across multiple channels. Understanding customer behavior and how it applies across channels is the key to ensuring the best level of experience is achieved by each customer.
In this webinar Hortonworks and Apigee discuss how service providers can capture and visualize customer behavior across customer interaction points like call center events (IVR and chat) and combine it with network data, to predict customer calls and patterns of digital channel abandonment using Hadoop and predictive analysis and visualization tools..
We will identify ways to develop a 360 degree view across a customer’s household through an HDP Data Lake and visualize customer interaction patterns and predict expected behavior using Apigee Insights to identify and initiate the Next-Best-Action for a customer to ensure a superior level of customer experience.
Starting Small and Scaling Big with Hadoop (Talend and Hortonworks webinar)) ...Hortonworks
No matter if you are new to Hadoop or have a mature cluster in production, scale will be a critical factor of your success with Hadoop. Are you ready to take the next big step as you scale out your data architecture?
Talend and Hortonworks discuss where we will help you learn how to implement an effective big data and Hadoop strategy across your IT infrastructure. You will learn:
How to grow a pilot into production
How to scale-out architecture & systems affordably
How to leverage the flexibility of Hadoop to optimize your data integration processes
Recording: http://www.talend.com/resources/webinars/starting-small-and-scaling-big-with-hadoop
Implementing a Data Lake with Enterprise Grade Data GovernanceHortonworks
Hadoop provides a powerful platform for data science and analytics, where data engineers and data scientists can leverage myriad data from external and internal data sources to uncover new insight. Such power is also presenting a few new challenges. On the one hand, the business wants more and more self-service, and on the other hand IT is trying to keep up with the demand for data, while maintaining architecture and data governance standards.
In this webinar, Andrew Ahn, Data Governance Initiative Product Manager at Hortonworks, will address the gaps and offer best practices in providing end-to-end data governance in HDP. Andrew Ahn will be followed by Oliver Claude of Waterline Data, who will share a case study of how Waterline Data Inventory works with HDP in the Modern Data Architecture to automate the discovery of business and compliance metadata, data lineage, as well as data quality metrics.
Hortonworks Data In Motion Series Part 4Hortonworks
How real-world enterprises leverage Hortonworks DataFlow/Apache NiFi to to create real-time data flows in record time to enable new business opportunities, improve customer retention, accelerate big data projects from months to minutes through increased efficiency and reduced costs.
On-Demand webinar: http://hortonworks.com/webinar/paradigm-shift-business-usual-real-time-dataflows-record-time/
Near real-time, big data analytics is a reality via a new data pattern that avoids the latency and overhead of legacy ETL–the 3 T’s of Hadoop: Transfer, Transform, and Translate. Transfer: Once a Hadoop infrastructure is in place, a mandate is needed to immediately and continuously transfer all enterprise data, from external and internal sources and through different existing systems, into Hadoop. Previously, enterprise data was isolated, disconnected and monolithically segmented. Through this T, various source data are consolidated and centralized in Hadoop almost as they are generated in near real-time. Transform: Most of the enterprise data, when flowing into Hadoop, is transactional in nature. Analytics requires data be transformed from record-based OLTP form to column-based OLAP. This T is not the same T in ETL as we need to retain the granularity in the data feeds. The key is to transform in-place within Hadoop, without further data movement from Hadoop to other legacy systems. Translate: We pre-compute or provide on-the-fly views of analytical data, exposed for consumption. We facilitate analysis and reporting, for both scheduled and ad hoc needs, to be interactive with the data for analysts and end users, integrated in and on top of Hadoop.
Hortonworks Data in Motion Webinar Series - Part 1Hortonworks
VIEW THE ON-DEMAND WEBINAR: http://hortonworks.com/webinar/introduction-hortonworks-dataflow/
Learn about Hortonworks DataFlow (HDFTM) and how you can easily augment your existing data systems – Hadoop and otherwise. Learn what Dataflow is all about and how Apache NiFi, MiNiFi, Kafka and Storm work together for streaming analytics.
Hp Converged Systems and Hortonworks - Webinar SlidesHortonworks
Our experts will walk you through some key design considerations when deploying a Hadoop cluster in production. We'll also share practical best practices around HP and Hortonworks Data Platform to get you started on building your modern data architecture.
Learn how to:
- Leverage best practices for deployment
- Choose a deployment model
- Design your Hadoop cluster
- Build a Modern Data Architecture and vision for the Data Lake
Introduction to Hortonworks Data Platform for WindowsHortonworks
According to IDC, Windows Servers run more than 50% of the servers in the Enterprise Data Center. Hortonworks has worked closely with Microsoft to port Apache Hadoop to Windows to enable organizations to take advantage of this emerging Big Data technology. Join us in this informative webinar to hear about the new Hortonworks Data Platform for Windows.
In less than an hour, you’ll learn:
-Key capabilities available in Hortonworks Data Platform for Windows
-How HDP for Windows integrates with Microsoft tools
-Key workloads and use cases for driving Hadoop today
Hadoop Essentials -- The What, Why and How to Meet Agency ObjectivesCloudera, Inc.
This session will provide an executive overview of the Apache Hadoop ecosystem, its basic concepts, and its real-world applications. Attendees will learn how organizations worldwide are using the latest tools and strategies to harness their enterprise information to solve business problems and the types of data analysis commonly powered by Hadoop. Learn how various projects make up the Apache Hadoop ecosystem and the role each plays to improve data storage, management, interaction, and analysis. This is a valuable opportunity to gain insights into Hadoop functionality and how it can be applied to address compelling business challenges in your agency.
see the recording: http://youtu.be/qdhF1sfef10
Ofer Medelvitch, Director of Data Science of Hortonworks and Michael Zeller, Founder and CEO of Zementis present key learnings as to what drives successful implementations of big data analytics projects. Their knowledge comes from working with dozens of companies from small cloud-based start-ups to some of the largest companies in the world.
How Universities Use Big Data to Transform EducationHortonworks
Student performance data is increasingly being captured as part of software-based and online classroom exercises and testing. This data can be augmented with behavioral data captured from sources such as social media, student-professor meeting notes, blogs, student surveys, and so forth to discover new insights to improve student learning. The results transcend traditional IT departments to focus on issues like retention, research, and the delivery of content and courses through new modalities.
Hortonworks is partnering with Microsoft to show you how the Hortonworks Data Platform (HDP) running on the Microsoft stack enables you to develop a “single view of a student”.
Scaling real time streaming architectures with HDF and Dell EMC IsilonHortonworks
Streaming Analytics are the new normal. Customers are exploring use cases that have quickly transitioned from batch to near real time. Hortonworks Data Flow / Apache NiFi and Isilon provide a robust scalable architecture to enable real time streaming architectures. Explore our use cases and demo on how Hortonworks Data Flow and Isilon can empower your business for real time success
How to Use Apache Zeppelin with HWX HDBHortonworks
Part five in a five-part series, this webcast will be a demonstration of the integration of Apache Zeppelin and Pivotal HDB. Apache Zeppelin is a web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more. This webinar will demonstrate the configuration of the psql interpreter and the basic operations of Apache Zeppelin when used in conjunction with Hortonworks HDB.
Webinar Series Part 5 New Features of HDF 5Hortonworks
Overview of the newest features of Hortonworks DataFlow highlighting the new processors, new user interface, edge intelligence powered by Apache MiNiFi and new support for multi-tenancy and new zero master clustering architecture
Hortonworks Data in Motion Webinar Series Part 7 Apache Kafka Nifi Better Tog...Hortonworks
Apache NiFi, Storm and Kafka augment each other in modern enterprise architectures. NiFi provides a coding free solution to get many different formats and protocols in and out of Kafka and compliments Kafka with full audit trails and interactive command and control. Storm compliments NiFi with the capability to handle complex event processing.
Join us to learn how Apache NiFi, Storm and Kafka can augment each other for creating a new dataplane connecting multiple systems within your enterprise with ease, speed and increased productivity.
https://www.brighttalk.com/webcast/9573/224063
If you’re already a SQL user then working with Hadoop may be a little easier than you think, thanks to Apache Hive. It provides a mechanism to project structure onto the data in Hadoop and to query that data using a SQL-like language called HiveQL (HQL).
This cheat sheet covers:
-- Query
-- Metadata
-- SQL Compatibility
-- Command Line
-- Hive Shell
SAS - Hortonworks: Creating the Omnichannel Experience in Retail webinar marc...Hortonworks
Only 23% of businesses can integrate customer insights in real-time. Learn how to change that. Join us to hear from industry experts on how to transform your organization’s data into the best omnichannel customer experience. Through this webinar, participants will hear how one retailer, with over 5 million customers and 750 brands, developed precise customer lifetime models using trusted data and delivered personalized promotions at scale. Through a single customer view and customer analytics, the retailer was able to quickly learn what changes needed to be made to improve the customer buying journey, and make those changes rapidly and effectively.
Presenters : Dan Mitchell, Director of Global Retail and CPG Practice at SAS, Eric Thorsen, VP Retail at Hortonworks
The path to a Modern Data Architecture in Financial ServicesHortonworks
Delivering Data-Driven Applications at the Speed of Business: Global Banking AML use case.
Chief Data Officers in financial services have unique challenges: they need to establish an effective data ecosystem under strict governance and regulatory requirements. They need to build the data-driven applications that enable risk and compliance initiatives to run efficiently. In this webinar, we will discuss the case of a global banking leader and the anti-money laundering solution they built on the data lake. With a single platform to aggregate structured and unstructured information essential to determine and document AML case disposition, they reduced mean time for case resolution by 75%. They have a roadmap for building over 150 data-driven applications on the same search-based data discovery platform so they can mitigate risks and seize opportunities, at the speed of business.
Delivering a Flexible IT Infrastructure for Analytics on IBM Power SystemsHortonworks
Customers are preparing themselves to analyze and manage an increasing quantity of structured and unstructured data. Business leaders introduce new analytical workloads faster than what IT departments can handle. Legacy IT infrastructure needs to evolve to deliver operational improvements and cost containment, while increasing flexibility to meet future requirements. By providing HDP on IBM Power Systems, Hortonworks and IBM are giving customers have more choice in selecting the appropriate architectural platform that is right for them. In this webinar, we’ll discuss some of the challenges with deploying big data platforms, and how choosing solutions built with HDP on IBM Power Systems can offer tangible benefits and flexibility to accommodate changing needs.
Enabling the Real Time Analytical EnterpriseHortonworks
Combining IOT, Customer Experience and Real-Time Enterprise Data within Hadoop. What if you could derive real-time insights using ALL of your data? Join us for this webinar and learn how companies are combining “new” real-time data sources (i.e. IOT, Social, Web Logs) with continuously updated enterprise data from SAP and other enterprise transactional systems, providing deep and up-to-the-second analytical insights. This presentation will include a demonstration of how this can be achieved quickly, easily and affordably by utilizing a joint solution from Attunity and Hortonworks.
Double Your Hadoop Hardware Performance with SmartSenseHortonworks
Hortonworks SmartSense provides proactive recommendations that improve cluster performance, security and operations. And since 30% of issues are configuration related, Hortonworks SmartSense makes an immediate impact on Hadoop system performance and availability, in some cases boosting hardware performance by two times. Learn how SmartSense can help you increase the efficiency of your Hadoop hardware, through customized cluster recommendations.
View the on-demand webinar: https://hortonworks.com/webinar/boosts-hadoop-hardware-performance-2x-smartsense/
Unifying Big Data Integration | Diyotta Indiadiyotta
Data integration processes can be complex in big data architectures and deployments. When using Hadoop as a mainstream platform there is still a requirement to work with co-existing data platforms such as Massively Parallel Processing systems or traditional data repositories. Moving data from source systems to target needs to be efficient and leveraging the processing capabilities of those platforms to transform data is optimal.
Enterprise Apache Hadoop: State of the UnionHortonworks
So what's in store for 2014? This deck was from Shaun Connolly's (VP of Strategy, Hortonworks) State of the Union webinar.
In this deck, you'll find:
- Reflection on Enterprise Hadoop Market in 2013
- The latest releases and innovations within the open source community
- Highlights of what's in store for Apache Hadoop and Big Data in 2014
Enrich a 360-degree Customer View with Splunk and Apache HadoopHortonworks
What if your organization could obtain a 360 degree view of the customer across offline, online and social and mobile channels? Attend this webinar with Splunk and Hortonworks and see examples of how marketing, business and operations analysts can reach across disparate data sets in Hadoop to spot new opportunities for up-sell and cross-sell. We'll also cover examples of how to measure buyer sentiment and changes in buyer behavior. Along with best practices on how to use data in Hadoop with Splunk to assign customer influence scores that online, call-center, and retail branches can use to customize more compelling products and promotions.
Learn more at: http://www.embarcadero.com/hadoop
With round-trip database support, data modeling professionals can use ER/Studio® Data Architect to easily reverse-engineer, compare and merge, and visually document data assets residing in diverse locations from data centers to mobile platforms. A variety of database platforms, including traditional RDBMS and big data technologies such as Hadoop Hive, can be imported and integrated into shared models and metadata definitions.
ER/Studio Data Architect includes the capability to capture data from Hadoop Hive tables into an entity relationship diagram with reverse engineering, as well as providing a means to create Hive tables and forward engineer them into a Hadoop Hive database. The integrated wizard menus allow the selection of specific tables and their properties to be manipulated, for granular visibility of the data.
Transform Your Business with Big Data and Hortonworks Pactera_US
Customer insight and marketplace predictions are a few of the profitable benefits found in big data technology. Leading companies are using the advanced analytics solution to find new revenue streams, increase customer satisfaction and optimize the supply chain.
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big DataHortonworks
Hadoop is a great platform for storing and processing massive amounts of data. Elasticsearch is the ideal solution for Searching and Visualizing the same data. Join us to learn how you can leverage the full power of both platforms to maximize the value of your Big Data.
In this webinar we'll walk you through:
How Elasticsearch fits in the Modern Data Architecture.
A demo of Elasticsearch and Hortonworks Data Platform.
Best practices for combining Elasticsearch and Hortonworks Data Platform to extract maximum insights from your data.
Hortonworks and Platfora in Financial Services - WebinarHortonworks
Big Data Analytics is transforming how banks and financial institutions unlock insights, make more meaningful decisions, and manage risk. Join this webinar to see how you can gain a clear understanding of the customer journey by leveraging Platfora to interactively analyze the mass of raw data that is stored in your Hortonworks Data Platform. Our experts will highlight use cases, including customer analytics and security analytics.
Speakers: Mark Lochbihler, Partner Solutions Engineer at Hortonworks, and Bob Welshmer, Technical Director at Platfora
Mr. Slim Baltagi is a Systems Architect at Hortonworks, with over 4 years of Hadoop experience working on 9 Big Data projects: Advanced Customer Analytics, Supply Chain Analytics, Medical Coverage Discovery, Payment Plan Recommender, Research Driven Call List for Sales, Prime Reporting Platform, Customer Hub, Telematics, Historical Data Platform; with Fortune 100 clients and global companies from Financial Services, Insurance, Healthcare and Retail.
Mr. Slim Baltagi has worked in various architecture, design, development and consulting roles at.
Accenture, CME Group, TransUnion, Syntel, Allstate, TransAmerica, Credit Suisse, Chicago Board Options Exchange, Federal Reserve Bank of Chicago, CNA, Sears, USG, ACNielsen, Deutshe Bahn.
Mr. Baltagi has also over 14 years of IT experience with an emphasis on full life cycle development of Enterprise Web applications using Java and Open-Source software. He holds a master’s degree in mathematics and is an ABD in computer science from Université Laval, Québec, Canada.
Languages: Java, Python, JRuby, JEE , PHP, SQL, HTML, XML, XSLT, XQuery, JavaScript, UML, JSON
Databases: Oracle, MS SQL Server, MYSQL, PostreSQL
Software: Eclipse, IBM RAD, JUnit, JMeter, YourKit, PVCS, CVS, UltraEdit, Toad, ClearCase, Maven, iText, Visio, Japser Reports, Alfresco, Yslow, Terracotta, Toad, SoapUI, Dozer, Sonar, Git
Frameworks: Spring, Struts, AppFuse, SiteMesh, Tiles, Hibernate, Axis, Selenium RC, DWR Ajax , Xstream
Distributed Computing/Big Data: Hadoop, MapReduce, HDFS, Hive, Pig, Sqoop, HBase, R, RHadoop, Cloudera CDH4, MapR M7, Hortonworks HDP 2.1
Bridging the Big Data Gap in the Software-Driven WorldCA Technologies
Implementing and managing a Big Data environment effectively requires essential efficiencies such as automation, performance monitoring and flexible infrastructure management. Discover new innovations that enable you to manage entire Big Data environments with unparalleled ease of use and clear enterprise visibility across a variety of data repositories.
To learn more about Mainframe solutions from CA Technologies, visit: http://bit.ly/1wbiPkl
Slides from joint webinar. Pivotal HAWQ, one of the world’s most advanced enterprise SQL on Hadoop technology, coupled with the Hortonworks Data Platform, the only 100% open source Apache Hadoop data platform, can turbocharge your Data Science efforts.
Together, Pivotal HAWQ and the Hortonworks Data Platform provide businesses with a Modern Data Architecture for IT transformation.
Slides from the joint webinar. Learn how Pivotal HAWQ, one of the world’s most advanced enterprise SQL on Hadoop technology, coupled with the Hortonworks Data Platform, the only 100% open source Apache Hadoop data platform, can turbocharge your Data Science efforts.
Together, Pivotal HAWQ and the Hortonworks Data Platform provide businesses with a Modern Data Architecture for IT transformation.
Create a Smarter Data Lake with HP Haven and Apache HadoopHortonworks
An organization’s information is spread across multiple repositories, on-premise and in the cloud, with limited ability to correlate information and derive insights. The Smart Content Hub solution from HP and Hortonworks enables a shared content infrastructure that transparently synchronizes information with existing systems and offers an open standards-based platform for deep analysis and data monetization.
- Leverage 100% of your data: Text, images, audio, video, and many more data types can be automatically consumed and enriched using HP Haven (powered by HP IDOL and HP Vertica), making it possible to integrate this valuable content and insights into various line of business applications.
- Democratize and enable multi-dimensional content analysis: - Empower your analysts, business users, and data scientists to search and analyze Hadoop data with ease, using the 100% open source Hortonworks Data Platform.
- Extend the enterprise data warehouse: Synchronize and manage content from content management systems, and crack open the files in whatever format they happen to be in.
- Dramatically reduce complexity with enterprise-ready SQL engine: Tap into the richest analytics that support JOINs, complex data types, and other capabilities only available with HP Vertica SQL on the Hortonworks Data Platform.
Speakers:
- Ajay Singh, Director, Technical Channels, Hortonworks
- Will Gardella, Product Management, HP Big Data
Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next LevelHortonworks
The HDF 3.3 release delivers several exciting enhancements and new features. But, the most noteworthy of them is the addition of support for Kafka 2.0 and Kafka Streams.
https://hortonworks.com/webinar/hortonworks-dataflow-hdf-3-3-taking-stream-processing-next-level/
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT StrategyHortonworks
Forrester forecasts* that direct spending on the Internet of Things (IoT) will exceed $400 Billion by 2023. From manufacturing and utilities, to oil & gas and transportation, IoT improves visibility, reduces downtime, and creates opportunities for entirely new business models.
But successful IoT implementations require far more than simply connecting sensors to a network. The data generated by these devices must be collected, aggregated, cleaned, processed, interpreted, understood, and used. Data-driven decisions and actions must be taken, without which an IoT implementation is bound to fail.
https://hortonworks.com/webinar/iot-predictions-2019-beyond-data-heart-iot-strategy/
Getting the Most Out of Your Data in the Cloud with CloudbreakHortonworks
Cloudbreak, a part of Hortonworks Data Platform (HDP), simplifies the provisioning and cluster management within any cloud environment to help your business toward its path to a hybrid cloud architecture.
https://hortonworks.com/webinar/getting-data-cloud-cloudbreak-live-demo/
Johns Hopkins - Using Hadoop to Secure Access Log EventsHortonworks
In this webinar, we talk with experts from Johns Hopkins as they share techniques and lessons learned in real-world Apache Hadoop implementation.
https://hortonworks.com/webinar/johns-hopkins-using-hadoop-securely-access-log-events/
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad GuysHortonworks
Cybersecurity today is a big data problem. There’s a ton of data landing on you faster than you can load, let alone search it. In order to make sense of it, we need to act on data-in-motion, use both machine learning, and the most advanced pattern recognition system on the planet: your SOC analysts. Advanced visualization makes your analysts more efficient, helps them find the hidden gems, or bombs in masses of logs and packets.
https://hortonworks.com/webinar/catch-hacker-real-time-live-visuals-bots-bad-guys/
We have introduced several new features as well as delivered some significant updates to keep the platform tightly integrated and compatible with HDP 3.0.
https://hortonworks.com/webinar/hortonworks-dataflow-hdf-3-2-release-raises-bar-operational-efficiency/
Curing Kafka Blindness with Hortonworks Streams Messaging ManagerHortonworks
With the growth of Apache Kafka adoption in all major streaming initiatives across large organizations, the operational and visibility challenges associated with Kafka are on the rise as well. Kafka users want better visibility in understanding what is going on in the clusters as well as within the stream flows across producers, topics, brokers, and consumers.
With no tools in the market that readily address the challenges of the Kafka Ops teams, the development teams, and the security/governance teams, Hortonworks Streams Messaging Manager is a game-changer.
https://hortonworks.com/webinar/curing-kafka-blindness-hortonworks-streams-messaging-manager/
Interpretation Tool for Genomic Sequencing Data in Clinical EnvironmentsHortonworks
The healthcare industry—with its huge volumes of big data—is ripe for the application of analytics and machine learning. In this webinar, Hortonworks and Quanam present a tool that uses machine learning and natural language processing in the clinical classification of genomic variants to help identify mutations and determine clinical significance.
Watch the webinar: https://hortonworks.com/webinar/interpretation-tool-genomic-sequencing-data-clinical-environments/
IBM+Hortonworks = Transformation of the Big Data LandscapeHortonworks
Last year IBM and Hortonworks jointly announced a strategic and deep partnership. Join us as we take a close look at the partnership accomplishments and the conjoined road ahead with industry-leading analytics offers.
View the webinar here: https://hortonworks.com/webinar/ibmhortonworks-transformation-big-data-landscape/
In this exclusive Premier Inside Out, you will hear from Druid committer Slim Bouguerra, Staff Software Engineer and Product Manager Will Xu. These Hortonworkers will explain the vision of these components, review new features, share some best practices and answer your questions.
View the webinar here: https://hortonworks.com/webinar/hortonworks-premier-apache-druid/
Accelerating Data Science and Real Time Analytics at ScaleHortonworks
Gaining business advantages from big data is moving beyond just the efficient storage and deep analytics on diverse data sources to using AI methods and analytics on streaming data to catch insights and take action at the edge of the network.
https://hortonworks.com/webinar/accelerating-data-science-real-time-analytics-scale/
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATAHortonworks
Thanks to sensors and the Internet of Things, industrial processes now generate a sea of data. But are you plumbing its depths to find the insight it contains, or are you just drowning in it? Now, Hortonworks and Seeq team to bring advanced analytics and machine learning to time-series data from manufacturing and industrial processes.
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...Hortonworks
Trimble Transportation Enterprise is a leading provider of enterprise software to over 2,000 transportation and logistics companies. They have designed an architecture that leverages Hortonworks Big Data solutions and Machine Learning models to power up multiple Blockchains, which improves operational efficiency, cuts down costs and enables building strategic partnerships.
https://hortonworks.com/webinar/blockchain-with-machine-learning-powered-by-big-data-trimble-transportation-enterprise/
Delivering Real-Time Streaming Data for Healthcare Customers: ClearsenseHortonworks
For years, the healthcare industry has had problems of data scarcity and latency. Clearsense solved the problem by building an open-source Hortonworks Data Platform (HDP) solution while providing decades worth of clinical expertise. Clearsense is delivering smart, real-time streaming data, to its healthcare customers enabling mission-critical data to feed clinical decisions.
https://hortonworks.com/webinar/delivering-smart-real-time-streaming-data-healthcare-customers-clearsense/
Making Enterprise Big Data Small with EaseHortonworks
Every division in an organization builds its own database to keep track of its business. When the organization becomes big, those individual databases grow as well. The data from each database may become silo-ed and have no idea about the data in the other database.
https://hortonworks.com/webinar/making-enterprise-big-data-small-ease/
Driving Digital Transformation Through Global Data ManagementHortonworks
Using your data smarter and faster than your peers could be the difference between dominating your market and merely surviving. Organizations are investing in IoT, big data, and data science to drive better customer experience and create new products, yet these projects often stall in ideation phase to a lack of global data management processes and technologies. Your new data architecture may be taking shape around you, but your goal of globally managing, governing, and securing your data across a hybrid, multi-cloud landscape can remain elusive. Learn how industry leaders are developing their global data management strategy to drive innovation and ROI.
Presented at Gartner Data and Analytics Summit
Speaker:
Dinesh Chandrasekhar
Director of Product Marketing, Hortonworks
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming FeaturesHortonworks
Hortonworks DataFlow (HDF) is the complete solution that addresses the most complex streaming architectures of today’s enterprises. More than 20 billion IoT devices are active on the planet today and thousands of use cases across IIOT, Healthcare and Manufacturing warrant capturing data-in-motion and delivering actionable intelligence right NOW. “Data decay” happens in a matter of seconds in today’s digital enterprises.
To meet all the needs of such fast-moving businesses, we have made significant enhancements and new streaming features in HDF 3.1.
https://hortonworks.com/webinar/series-hdf-3-1-technical-deep-dive-new-streaming-features/
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...Hortonworks
Join the Hortonworks product team as they introduce HDF 3.1 and the core components for a modern data architecture to support stream processing and analytics.
You will learn about the three main themes that HDF addresses:
Developer productivity
Operational efficiency
Platform interoperability
https://hortonworks.com/webinar/series-hdf-3-1-redefining-data-motion-modern-data-architectures/
Unlock Value from Big Data with Apache NiFi and Streaming CDCHortonworks
Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data. It provides an end-to-end platform that can collect, curate, analyze, and act on data in real-time, on-premises, or in the cloud with a drag-and-drop visual interface. It’s being used across industries on large amounts of data that had stored in isolation which made collaboration and analysis difficult.
Join industry experts from Hortonworks and Attunity as they explain how Apache NiFi and streaming CDC technology provides a distributed, resilient platform for unlocking the value of data in new ways.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
2. We do Hadoop.
About Hortonworks
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing and analyzing big data. Our distribution,
Hortonworks Data Platform powered by Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big
data solutions. Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop more robust
and easier to install, manage and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators
and technology vendors.
3460 West Bayshore Rd.
Palo Alto, CA 94303 USA
US: 1.855.846.7866
International: 1.408.916.4121
www.hortonworks.com
Twitter: twitter.com/hortonworks
Facebook: facebook.com/hortonworks
LinkedIn: linkedin.com/company/hortonworks
Modern
businesses
need
to
manage
vast
amounts
of
data,
and
in
many
cases
they
have
accumulated
this
data
for
years.
Many
enterprises
have
built
large-‐scale
environments
for
transactional
data
with
analytic
databases,
but
are
now
inundated
with
new
types
of
data,
such
as
social
media
data,
server
logs,
clickstream
data,
web
logs,
machine/sensor
data,
and
geolocation
data.
These
new
data
sources
all
share
the
common
Big
Data
characteristics
of
volume
(size),
velocity
(speed),
and
variety
(type),
and
have
sometimes
been
thought
of
as
low
value,
or
even
as
“exhaust
data”:
too
expensive
to
store
and
analyze.
It
is
these
types
of
data
that
are
turning
the
conversation
from
“data
analytics”
to
“big
data
analytics.”
With
Hortonworks,
businesses
are
learning
to
see
these
types
of
data
as
inexpensive,
accessible
sources
of
insight
and
competitive
advantage.
The
Hortonworks
Data
Platform
allows
you
to
store,
process,
and
manage
data
at
scale.
It
is
designed
to
integrate
with
and
extend
existing
data
applications.
With
Hortonworks,
enterprises
can
retain
and
process
more
data,
join
new
and
existing
data
sets,
and
lower
the
cost
of
data
analysis.
Tableau
can
be
used
with
Hortonworks
to
explore
this
expanded
data
set.
Tableau
can
access
the
data
in
the
Hortonworks
Data
Platform,
visualize
that
data,
and
provide
valuable
insights
for
your
business.
Tableau
can
also
combine
the
data
in
the
Hortonworks
Data
Platform
with
data
in
traditional
analytics
databases
to
create
a
blended
view
of
multiple
data
sources.
The
combined
capabilities
of
Hortonworks
and
Tableau
make
Big
Data
less
expensive,
more
accessible,
and
easier
to
understand
and
use
for
business
advantage.
In
the
following
sections,
we
will
show
you:
• The
main
features
of
the
Hortonworks
Data
Platform
and
Tableau.
• Where
Tableau
fits
in
with
the
Hortonworks
Data
Platform
as
part
of
a
modern
data
architecture.
• How
you
can
use
Tableau
with
Hortonworks
for
data
exploration
and
visualization.
3. We do Hadoop.
About Hortonworks
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing and analyzing big data. Our distribution,
Hortonworks Data Platform powered by Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big
data solutions. Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop more robust
and easier to install, manage and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators
and technology vendors.
3460 West Bayshore Rd.
Palo Alto, CA 94303 USA
US: 1.855.846.7866
International: 1.408.916.4121
www.hortonworks.com
Twitter: twitter.com/hortonworks
Facebook: facebook.com/hortonworks
LinkedIn: linkedin.com/company/hortonworks
The Hortonworks Data Platform
The
Hortonworks
Data
Platform
(HDP)
is
an
enterprise-‐grade,
hardened
Apache
Hadoop
distribution
that
enables
you
to
store,
process,
and
manage
large
data
sets.
Apache
Hadoop
is
an
open-‐source
software
framework
that
allows
for
the
distributed
processing
of
large
data
sets
across
clusters
of
computers
using
simple
programming
models.
It
is
designed
for
high-‐availability
and
fault-‐tolerance,
and
can
scale
from
a
single
server
up
to
thousands
of
machines.
The
Hortonworks
Data
Platform
combines
the
most
useful
and
stable
versions
of
Apache
Hadoop
and
its
related
projects
into
a
single
tested
and
certified
package.
Hortonworks
offers
the
latest
innovations
from
the
open
source
community,
along
with
the
testing
and
quality
you
expect
from
enterprise-‐quality
software.
The
Hortonworks
Data
Platform
is
designed
to
integrate
with
and
extend
the
capabilities
of
your
existing
investments
in
data
applications,
tools,
and
processes.
With
Hortonworks,
you
can
refine,
analyze,
and
gain
business
insights
from
both
structured
and
unstructured
data
–
quickly,
easily,
and
economically.
Hortonworks Data Platform: Key Features and Benefits
With
the
Hortonworks
Data
Platform,
enterprises
can
retain
and
process
more
data,
join
new
and
existing
data
sets,
and
lower
the
cost
of
data
analysis.
Hortonworks
enables
enterprises
to
implement
the
following
data
management
principles:
• Retain as much data as possible. Traditional
data
warehouses
age,
and
over
time
will
eventually
store
only
summary
data.
Analyzing
detailed
records
is
often
critical
to
uncovering
useful
business
insights.
• Join new and existing data sets. Enterprises
can
build
large-‐scale
environments
for
transactional
data
with
analytic
databases,
but
these
solutions
are
not
always
well
suited
to
processing
nontraditional
data
sets
such
as
text,
images,
machine
data,
and
online
data.
Hortonworks
enables
enterprises
to
incorporate
both
structured
and
unstructured
data
in
one
comprehensive
data
management
system.
4. We do Hadoop.
About Hortonworks
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing and analyzing big data. Our distribution,
Hortonworks Data Platform powered by Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big
data solutions. Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop more robust
and easier to install, manage and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators
and technology vendors.
3460 West Bayshore Rd.
Palo Alto, CA 94303 USA
US: 1.855.846.7866
International: 1.408.916.4121
www.hortonworks.com
Twitter: twitter.com/hortonworks
Facebook: facebook.com/hortonworks
LinkedIn: linkedin.com/company/hortonworks
• Archive
data
at
low
cost.
It
is
not
always
clear
what
portion
of
stored
data
will
be
of
value
for
future
analysis.
Therefore,
it
can
be
difficult
to
justify
expensive
processes
to
capture,
cleanse,
and
store
that
data.
Hadoop
scales
easily,
so
you
can
store
years
of
data
without
much
incremental
cost,
and
find
deeper
patterns
that
your
competitors
may
miss.
• Access
all
data
efficiently.
Data
needs
to
be
readily
accessible.
Apache
Hadoop
clusters
can
provide
a
low-‐cost
solution
for
storing
massive
data
sets
while
still
making
the
information
readily
available.
Hadoop
is
designed
to
efficiently
scan
all
of
the
data,
which
is
complimentary
to
databases
that
are
efficient
at
finding
subsets
of
data.
• Apply
basic
data
cleansing
and
data
cataloging.
Categorize
and
label
all
data
in
Hadoop
with
enough
descriptive
information
(metadata)
to
make
sense
of
it
later,
and
to
enable
integration
with
transactional
databases
and
analytic
tools.
This
greatly
reduces
the
time
and
effort
required
to
integrate
with
other
data
sets,
and
avoids
a
scenario
in
which
valuable
data
is
eventually
rendered
useless.
• Integrate
with
existing
platforms
and
applications.
Hortonworks
connects
seamlessly
with
many
leading
analytic,
data
integration,
and
database
management
tools.
Tableau
Tableau
is
a
data
analysis
tool
that
can
be
used
for
data
exploration
and
visualization.
Tableau
is
designed
to
support
people’s
natural
tendency
to
think
visually.
Rather
than
typing
data
into
forms
or
clicking
through
wizards,
Tableau
features
an
intuitive
drag-‐and-‐drop
interface.
You
can
connect
to
data
in
a
few
clicks,
then
visualize
and
create
interactive
dashboards
with
a
few
more.
Traditional
business
intelligence
(BI)
platforms
have
required
users
to
build
elaborate
“universes,”
“cubes,”
or
“temporary
tables”
before
any
real
work
can
be
done.
Tableau
eliminates
those
steps
completely.
There’s
no
requirement
to
pull
data
into
a
silo
–
you
work
directly
from
your
database.
5. We do Hadoop.
About Hortonworks
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing and analyzing big data. Our distribution,
Hortonworks Data Platform powered by Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big
data solutions. Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop more robust
and easier to install, manage and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators
and technology vendors.
3460 West Bayshore Rd.
Palo Alto, CA 94303 USA
US: 1.855.846.7866
International: 1.408.916.4121
www.hortonworks.com
Twitter: twitter.com/hortonworks
Facebook: facebook.com/hortonworks
LinkedIn: linkedin.com/company/hortonworks
Tableau
includes
a
“Show
Me”
feature
–
a
visualization
best
practices
engine
–
that
enables
you
to
easily
view
your
data
using
different
visualizations,
such
as
graphs,
bar
and
pie
charts,
and
map-‐based
data
representations.
Tableau
also
enables
you
to
share
your
visualizations
on
a
secure
server
with
colleagues,
customers,
and
partners.
With
Tableau
you
can
connect
directly
to
databases,
cubes,
data
warehouses,
files,
spreadsheets,
and
Hadoop.
Your
connection
is
live,
so
you
see
up-‐to-‐the-‐minute
data.
It
takes
only
a
few
clicks,
and
no
programming
is
required.
In
minutes
you’ll
be
accessing
data,
consolidating
numbers,
and
visualizing
results
without
advance
set-‐
up.
Tableau
is
true
ad-‐hoc
business
analytics.
Reference Architecture
Traditional Enterprise Data Architecture
Today,
nearly
every
enterprise
already
has
some
sort
of
database
management
system
already
in
place.
Generally,
these
environments
are
structured
as
follows:
• Data
comes
from
a
set
of
data
sources
–
most
typically
from
enterprise
applications
such
as
Enterprise
Resource
Planning
(ERP),
Customer
Relationship
Management
(CRM),
and
any
custom
applications
used
to
gather
data.
• That
data
is
extracted,
transformed,
and
loaded
into
a
data
system
such
as
a
Relational
Database
Management
System
(RDBMS),
an
Enterprise
Data
Warehouse
(EDW),
or
even
a
Massively
Parallel
Processing
(MPP)
system.
• A
set
of
analytical
applications
–
either
packaged
(e.g.
Tableau)
or
custom
–
then
access
the
data
in
those
systems
to
enable
users
to
garner
insights
from
the
data.
6. We do Hadoop.
About Hortonworks
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing and analyzing big data. Our distribution,
Hortonworks Data Platform powered by Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big
data solutions. Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop more robust
and easier to install, manage and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators
and technology vendors.
3460 West Bayshore Rd.
Palo Alto, CA 94303 USA
US: 1.855.846.7866
International: 1.408.916.4121
www.hortonworks.com
Twitter: twitter.com/hortonworks
Facebook: facebook.com/hortonworks
LinkedIn: linkedin.com/company/hortonworks
Figure 1: Traditional Database Architecture
Modern Data Architecture
In
addition
to
traditional
transactional
data
in
analytic
databases,
enterprises
now
also
need
to
gather,
process,
and
analyze
new
unstructured
data
sets
that
are
growing
exponentially.
This
new
information
can
include
text,
images,
machine-‐generated
data,
and
online
data
from
social
media.
It
also
includes
data
such
as
log
files
that
was
once
thought
of
as
having
relatively
little
value;
too
expensive
to
store
and
analyze.
These
new
types
of
data
are
turning
the
focus
from
“data
analytics”
to
“big
data
analytics”
because
so
much
insight
can
be
gleaned
from
these
new
data
sources
for
business
advantage.
7. We do Hadoop.
About Hortonworks
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing and analyzing big data. Our distribution,
Hortonworks Data Platform powered by Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big
data solutions. Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop more robust
and easier to install, manage and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators
and technology vendors.
3460 West Bayshore Rd.
Palo Alto, CA 94303 USA
US: 1.855.846.7866
International: 1.408.916.4121
www.hortonworks.com
Twitter: twitter.com/hortonworks
Facebook: facebook.com/hortonworks
LinkedIn: linkedin.com/company/hortonworks
The
Hortonworks
Data
Platform
is
increasingly
being
introduced
into
enterprise
environments
to
manage
the
massive
amounts
of
these
new
types
of
data
–
as
well
as
existing
data
–
in
an
efficient
and
cost-‐effective
manner.
Figure 2: Modern Database Architecture
The Hortonworks Data Platform does not replace traditional data systems used for
building analytic applications – the RDBMS, EDW and MPP systems – but is instead
designed to integrate with and extend these systems.
By providing a framework to capture, store, and process vast quantities of both
structured and unstructured data in a cost efficient and highly scalable manner, the
Hortonworks platform is driving the creation of a new generation of enterprise
database systems.
8. We do Hadoop.
About Hortonworks
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing and analyzing big data. Our distribution,
Hortonworks Data Platform powered by Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big
data solutions. Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop more robust
and easier to install, manage and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators
and technology vendors.
3460 West Bayshore Rd.
Palo Alto, CA 94303 USA
US: 1.855.846.7866
International: 1.408.916.4121
www.hortonworks.com
Twitter: twitter.com/hortonworks
Facebook: facebook.com/hortonworks
LinkedIn: linkedin.com/company/hortonworks
Tableau and the Hortonworks Data Platform
Tableau
can
be
used
with
Hortonworks
to
explore
your
expanded
data
set.
Tableau
can
directly
access
the
data
in
the
Hortonworks
Data
Platform,
as
well
as
the
data
in
traditional
analytic
databases,
and
can
combine
them
in
a
single
view
using
a
capability
known
as
“data
blending.”
Tableau
can
then
explore
and
visualize
the
blended
data,
providing
valuable
business
insights.
Figure 3: Tableau and Hortonworks
9. We do Hadoop.
About Hortonworks
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing and analyzing big data. Our distribution,
Hortonworks Data Platform powered by Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big
data solutions. Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop more robust
and easier to install, manage and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators
and technology vendors.
3460 West Bayshore Rd.
Palo Alto, CA 94303 USA
US: 1.855.846.7866
International: 1.408.916.4121
www.hortonworks.com
Twitter: twitter.com/hortonworks
Facebook: facebook.com/hortonworks
LinkedIn: linkedin.com/company/hortonworks
Use Cases
Enterprises
can
combine
Tableau
with
the
Hortonworks
Data
Platform
for
the
following
use
cases:
• Data
Exploration
• Data
Visualization
Data
Exploration
In
the
Data
Exploration
use
case,
organizations
are
capturing
and
storing
a
large
quantity
of
new
data
(sometimes
referred
to
as
a
data
lake)
in
Hadoop,
and
then
exploring
that
data
directly.
Data
Exploration
can
be
used
to
explore
information
that
was
previously
ignored
(social
media
data,
server
logs,
clickstream
data,
web
logs,
machine/sensor
data,
and
geolocation
data),
generate
reports
and
visualizations
from
that
data,
and
use
new
or
existing
analytic
applications
to
leverage
these
new
types
of
data.
Figure 4: Data Exploration with Tableau and HDP
10. We do Hadoop.
About Hortonworks
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing and analyzing big data. Our distribution,
Hortonworks Data Platform powered by Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big
data solutions. Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop more robust
and easier to install, manage and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators
and technology vendors.
3460 West Bayshore Rd.
Palo Alto, CA 94303 USA
US: 1.855.846.7866
International: 1.408.916.4121
www.hortonworks.com
Twitter: twitter.com/hortonworks
Facebook: facebook.com/hortonworks
LinkedIn: linkedin.com/company/hortonworks
Data
Visualization
Traditionally,
gaining
insights
from
a
set
of
data
has
meant
writing
SQL
queries
to
extract
information
from
a
database
–
often
requiring
the
assistance
of
a
programmer
–
and
then
working
with
spreadsheets
to
derive
insights
from
tables
of
data.
Data
visualization
leverages
people’s
natural
tendency
to
think
visually.
It’s
much
easier
for
people
to
understand
data
when
they
see
it
visually
represented.
It’s
much
more
difficult
for
people
to
try
to
extract
meaning
by
looking
at
a
table
of
data.
To
illustrate
this,
let’s
use
Tableau
to
visualize
some
sample
clickstream
data
from
an
online
retail
store.
Let’s
take
a
look
at
website
visits
by
product
category
in
the
state
of
Florida.
With
Tableau
and
Hortonworks,
you
can
connect
to
the
data
directly
and
visualize
the
latest
data.
With
just
a
few
clicks
in
Tableau,
you
end
up
with
the
following
visualization
of
the
retail
store
data:
Figure 5: Sample Retail Store Data in Tableau
11. We do Hadoop.
About Hortonworks
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing and analyzing big data. Our distribution,
Hortonworks Data Platform powered by Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big
data solutions. Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop more robust
and easier to install, manage and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators
and technology vendors.
3460 West Bayshore Rd.
Palo Alto, CA 94303 USA
US: 1.855.846.7866
International: 1.408.916.4121
www.hortonworks.com
Twitter: twitter.com/hortonworks
Facebook: facebook.com/hortonworks
LinkedIn: linkedin.com/company/hortonworks
Here
we
can
instantly
see
the
product
category
details
for
each
state
by
moving
the
pointer
over
the
pie
charts.
At
a
glance
we
can
see
that
clothing
is
the
largest
category
in
Florida,
followed
by
shoes
and
handbags.
With
a
few
more
clicks,
we
could
visualize
that
same
data
by
age
or
gender,
or
change
the
view
to
a
bar
chart
or
tree
map.
This
combination
of
ease-‐of-‐use
and
broader
access
means
that
a
business
or
financial
analyst
no
longer
needs
to
wait
for
a
database
specialist
in
order
to
access
data.
Tableau
also
enables
you
to
share
your
interactive
visualizations
on
a
secure
server
with
colleagues,
customers,
and
partners,
providing
them
with
the
tools
they
need
to
answer
their
own
questions.
It’s
true
democratization
of
data.
Getting
Started
with
Hortonworks
and
Tableau
Here
are
a
few
links
to
help
you
get
started
with
Hortonworks
and
Tableau:
• The
Hortonworks
Sandbox
–
This
free
download
contains
a
stand-‐alone,
single-‐node
Hadoop
environment,
along
with
a
set
of
hands-‐on,
step-‐by-‐step
tutorials.
• Tableau
trial
version
–
This
page
contains
links
to
fully
functional
trial
versions
of
Tableau
Desktop,
Tableau
Server,
and
Tableau
Online.
• Hortonworks
Hive
ODBC
driver
–
The
Hortonworks
Add-‐Ons
page
contains
links
to
the
Hortonworks
Hive
ODBC
driver.
On
Windows,
Tableau
requires
the
32-‐bit
version
of
the
Hortonworks
ODBC
driver,
even
when
running
on
64-‐bit
versions
of
Windows.
• Best
Practices
for
Hadoop
Data
Analysis
with
Tableau