451 Analyst Matt Aslett, Cloudera CEO Mike Olson and Cloudera customers RIM and YP (formerly AT&T Interactive) to learn:
» Why Cloudera customers have chosen CDH to get started with Hadoop
» The business value resulting from analyzing new data sources in new ways
» How Hadoop will change these Customers’ business and industry over the next 3-5 years
Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...Cloudera, Inc.
Apache Hadoop, an open-source platform, is increasingly gaining adoption within organizations trying to draw insight from all the big data being generated. Hadoop, and a handful of open-source tools that complement it, are promising to make gigantic and diverse datasets easily and economically available for quick analysis. A burgeoning partner ecosystem is also essential to helping organizations turn big data into business value.
Discover the origins of big data, discuss existing and new projects, share common use cases for those projects, and explain how you can modernize your architecture using data analytics, data operations, data engineering and data science.
Big Data Fundamentals is your prerequisite to building a modern platform for machine learning and analytics optimized for the cloud.
We’ll close out with a live Q&A with some of our technical experts as well.
Stretch your brain with a packed agenda:
Open source software
Data storage
Data ingestion
Data analytics
Data engineering
IoT and life after Lambda architectures
Data science
Cybersecurity
Cluster management
Big data in the cloud
Success stories
Brian Brownlow is an experienced senior analyst programmer for Mayo Clinic. He is made a workshop presentation at the 2014 BDPA Technology Conference on the topic, 'Big Data Implementation - Mayo Clinic Case Study'. This presentation will show part of the Mayo Clinic story on the embarking of an exploration of the application of `Big Data' technologies. `Big Data' is seen as one set of tools that can be used to enhance medical research, medical education and practice management. Mayo Clinic is always searching for better, faster and cheaper ways to use its data to improve patient care and sustain financial outcomes in a challenging reimbursement environment. Our approach uses several components that are open source and combines them with data from various sources to provide information to decision makers in near real time. We have created a center of `Big Data' excellence using in-house staff and vendor engagements. `Big Data' is one element of our Enterprise Data Trust framework.
Deep learning expands boundaries of the possible. Detecting fraud. Predicting claims. Diagnosing cancer. Deep learning solves these problems and many others. However, organizations struggle to make deep learning work. Cloudera—with tools like the Cloudera Data Science Workbench—helps you bring deep learning to your data, for new insights and applications. A demonstration of Cloudera Data Science Workbench is included in the webinar.
Part 1: Lambda Architectures: Simplified by Apache KuduCloudera, Inc.
3 Things to Learn About:
* The concept of lambda architectures
* The Hadoop ecosystem components involved in lambda architectures
* The advantages and disadvantages of lambda architectures
IT @ Intel: Preparing the Future Enterprise with the Internet of ThingsIntel IT Center
The Internet of Things (IoT) is the concept of diverse machines, devices, and technologies connecting, interacting, and negotiating with each other to help improve and enrich our lives. No longer is this limited to just computer or smart phone technology. Everyday items such as household appliance, cars and even toys can connect to the internet to integrate with other computing things, processes and services. This new paradigm is changing how data is used and collected, and introducing new challenges for enterprises.
Realizing the Promise of Big Data with Hadoop - Cloudera Summer Webinar Serie...Cloudera, Inc.
Apache Hadoop, an open-source platform, is increasingly gaining adoption within organizations trying to draw insight from all the big data being generated. Hadoop, and a handful of open-source tools that complement it, are promising to make gigantic and diverse datasets easily and economically available for quick analysis. A burgeoning partner ecosystem is also essential to helping organizations turn big data into business value.
Discover the origins of big data, discuss existing and new projects, share common use cases for those projects, and explain how you can modernize your architecture using data analytics, data operations, data engineering and data science.
Big Data Fundamentals is your prerequisite to building a modern platform for machine learning and analytics optimized for the cloud.
We’ll close out with a live Q&A with some of our technical experts as well.
Stretch your brain with a packed agenda:
Open source software
Data storage
Data ingestion
Data analytics
Data engineering
IoT and life after Lambda architectures
Data science
Cybersecurity
Cluster management
Big data in the cloud
Success stories
Brian Brownlow is an experienced senior analyst programmer for Mayo Clinic. He is made a workshop presentation at the 2014 BDPA Technology Conference on the topic, 'Big Data Implementation - Mayo Clinic Case Study'. This presentation will show part of the Mayo Clinic story on the embarking of an exploration of the application of `Big Data' technologies. `Big Data' is seen as one set of tools that can be used to enhance medical research, medical education and practice management. Mayo Clinic is always searching for better, faster and cheaper ways to use its data to improve patient care and sustain financial outcomes in a challenging reimbursement environment. Our approach uses several components that are open source and combines them with data from various sources to provide information to decision makers in near real time. We have created a center of `Big Data' excellence using in-house staff and vendor engagements. `Big Data' is one element of our Enterprise Data Trust framework.
Deep learning expands boundaries of the possible. Detecting fraud. Predicting claims. Diagnosing cancer. Deep learning solves these problems and many others. However, organizations struggle to make deep learning work. Cloudera—with tools like the Cloudera Data Science Workbench—helps you bring deep learning to your data, for new insights and applications. A demonstration of Cloudera Data Science Workbench is included in the webinar.
Part 1: Lambda Architectures: Simplified by Apache KuduCloudera, Inc.
3 Things to Learn About:
* The concept of lambda architectures
* The Hadoop ecosystem components involved in lambda architectures
* The advantages and disadvantages of lambda architectures
IT @ Intel: Preparing the Future Enterprise with the Internet of ThingsIntel IT Center
The Internet of Things (IoT) is the concept of diverse machines, devices, and technologies connecting, interacting, and negotiating with each other to help improve and enrich our lives. No longer is this limited to just computer or smart phone technology. Everyday items such as household appliance, cars and even toys can connect to the internet to integrate with other computing things, processes and services. This new paradigm is changing how data is used and collected, and introducing new challenges for enterprises.
Customer Best Practices: Optimizing Cloudera on AWSCloudera, Inc.
Join Cloudera’s Alex Moundalexis, who will discuss time-saving design and best practices for deploying Cloudera Enterprise clusters in AWS. He will also be joined by Josh Hammer, Partner Solutions Architect at Amazon Web Services who will highlight unique advantages of running Cloudera on AWS.
In this interactive webinar, we will hear from Celgene, a global biopharmaceutical company and we will explore best practices of running your Cloudera Enterprise cluster on AWS:
AWS components (EC2, S3, RDS, EBS, VPC, Direct Connect, Service Limits)
Deployment Topology
Roles & Instance Types
Networking, Connectivity and Security
Storage Configuration
Capacity Planning
Provisioning Instances
3 things to learn:
AWS components (EC2, S3, RDS, EBS, VPC, Direct Connect, Service Limits)
Networking, Connectivity and Security
Deployment Topology
Moving Beyond Lambda Architectures with Apache KuduCloudera, Inc.
-Kudu is a new storage layer for the Hadoop ecosystem that enables fast analytics on fast data; it splits the difference between the fast read/write of HBase and the fast scans of HDFS...while compromising minimally on performance. It can pair with Spark, Impala, or MapReduce.
-In the past, a lambda architecture was needed to run analytics on real-time data – that is, a complex architecture that created separate a “speed layer” for rapid availability/query/updates, and a “batch layer” for running analytics scans. This was complicated and took lots of tuning.
-With Kudu, the Apache ecosystem now has a simplified storage solution for analytic scans on rapidly updating data, eliminating the need for the aforementioned hybrid lambda architectures.
3 Things to Learn About:
* How Sparklyr supports a complete backend for dplyr, a popular tool for working with data frame objects both in memory and out of memory
* How Sparklyr llows data scientists to use dplyr to translate R code into Spark SQL
* How Sparklyr supports MLlib so data scientists can run classifiers, regressions, and many other machine learning algorithms in Spark
Part 2: Cloudera’s Operational Database: Unlocking New Benefits in the CloudCloudera, Inc.
3 Things to Learn About:
*On-premises versus the cloud
*Design & benefits of real-time operational data in the cloud
*Best practices and architectural considerations
Data Science and Machine Learning for the EnterpriseCloudera, Inc.
Overview of Machine Learning and how the Cloudera Data Science Workbench provides full access to data while supporting IT SLAs. The presentation includes details on Fast Forward Labs and The Value of Interpretability in Models.
Evolution from Apache Hadoop to the Enterprise Data Hub by Cloudera - ArabNet...ArabNet ME
A new foundation for the Modern Information Architecture.
Speaker: Amr Awadallah, CTO & Cofounder, Cloudera
Our legacy information architecture is not able to cope with the realities of today's business. This is because it is not able to scale to meet our SLAs due to separation of storage and compute, economically store the volumes and types of data we currently confront, provide the agility necessary for innovation, and most importantly, provide a full 360 degree view of our customers, products, and business. In this talk Dr. Amr Awadallah will present the Enterprise Data Hub (EDH) as the new foundation for the modern information architecture. Built with Apache Hadoop at the core, the EDH is an extremely scalable, flexible, and fault-tolerant, data processing system designed to put data at the center of your business.
There’s been a great interest in applying Data Science and Machine Learning algorithms for the insight from data lately. Fundamentally, these techniques are only made practical by today’s scale-out Modern Data Architecture, which enables these algorithms to perform computation at massive scale economically.
The focus of this talk is on the scale-out architecture, pioneered by Google. Initially a niche system architecture that is only applicable to Google, the systems built on top of the same principles are used in production across many industries, empowering enterprises to get better insights into their business, to become more agile and to do more things that were not possible previously.
I will start the talk by providing the historical context behind the evolution of data architecture, and then dive into the technical details of the scale-out system, Hadoop and its ecosystem. Afterwards, I will present a few notable production use cases of the system. Finally, I will touch upon some of the exciting challenges and opportunities lying ahead for the future data architecture.
Simplifying Real-Time Architectures for IoT with Apache KuduCloudera, Inc.
3 Things to Learn About:
*Building scalable real time architectures for managing data from IoT
*Processing data in real time with components such as Kudu & Spark
*Customer case studies highlighting real-time IoT use cases
Introducing Cloudera Navigator Optimizer: Offload Assessments and Active Data...Cloudera, Inc.
Cloudera Enterprise can be used as an adaptive, high-performance analytic database, complementing existing data warehouses by relieving the pressure of growing numbers of ETL jobs and BI analytics. But where do you get started when developing your offload strategy? How can you identify which workloads are the best fit for which system? And once you’re up and running, how can you constantly adapt to Hadoop’s changing data needs?
Cloudera Navigator Optimizer eases the path for moving the right workloads to Hadoop and then actively manages data allowing you to take advantage of Hadoop’s benefits. Now generally available with the recent release of Cloudera 5.8 and a unique part of Cloudera’s analytic database solution, Navigator Optimizer gives you the workload visibility and assessments to build a predictable offload plan, adapt to evolving data and workload demands, and optimize query performance for Hadoop technologies
3 Things to Learn:
Join Ewa Ding, Senior Product Manager at Cloudera, as she discusses:
-An overview of Cloudera Navigator Optimizer and its key features
-A live demo and key use cases of this web-based tool
-What’s next for active data optimization in Hadoop
Neustar is a fast growing provider of enterprise services in telecommunications, online advertising, Internet infrastructure, and advanced technology. Neustar has engaged Think Big Analytics to leverage Hadoop to expand their data analysis capacity. This session describes how Hadoop has expanded their data warehouse capacity, agility for data analysis, reduced costs, and enabled new data products. We look at the challenges and opportunities in capturing 100′s of TB’s of compact binary network data, ad hoc analysis, integration with a scale out relational database, more agile data development, and building new products integrating multiple big data sets.
Powering the Internet of Things with Apache HadoopCloudera, Inc.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Cloudera is pioneering next generation data management solutions, enabling organizations to build an enterprise data hub (EDH) as the backbone to any IoT initiative.
Customer Best Practices: Optimizing Cloudera on AWSCloudera, Inc.
Join Cloudera’s Alex Moundalexis, who will discuss time-saving design and best practices for deploying Cloudera Enterprise clusters in AWS. He will also be joined by Josh Hammer, Partner Solutions Architect at Amazon Web Services who will highlight unique advantages of running Cloudera on AWS.
In this interactive webinar, we will hear from Celgene, a global biopharmaceutical company and we will explore best practices of running your Cloudera Enterprise cluster on AWS:
AWS components (EC2, S3, RDS, EBS, VPC, Direct Connect, Service Limits)
Deployment Topology
Roles & Instance Types
Networking, Connectivity and Security
Storage Configuration
Capacity Planning
Provisioning Instances
3 things to learn:
AWS components (EC2, S3, RDS, EBS, VPC, Direct Connect, Service Limits)
Networking, Connectivity and Security
Deployment Topology
Moving Beyond Lambda Architectures with Apache KuduCloudera, Inc.
-Kudu is a new storage layer for the Hadoop ecosystem that enables fast analytics on fast data; it splits the difference between the fast read/write of HBase and the fast scans of HDFS...while compromising minimally on performance. It can pair with Spark, Impala, or MapReduce.
-In the past, a lambda architecture was needed to run analytics on real-time data – that is, a complex architecture that created separate a “speed layer” for rapid availability/query/updates, and a “batch layer” for running analytics scans. This was complicated and took lots of tuning.
-With Kudu, the Apache ecosystem now has a simplified storage solution for analytic scans on rapidly updating data, eliminating the need for the aforementioned hybrid lambda architectures.
3 Things to Learn About:
* How Sparklyr supports a complete backend for dplyr, a popular tool for working with data frame objects both in memory and out of memory
* How Sparklyr llows data scientists to use dplyr to translate R code into Spark SQL
* How Sparklyr supports MLlib so data scientists can run classifiers, regressions, and many other machine learning algorithms in Spark
Part 2: Cloudera’s Operational Database: Unlocking New Benefits in the CloudCloudera, Inc.
3 Things to Learn About:
*On-premises versus the cloud
*Design & benefits of real-time operational data in the cloud
*Best practices and architectural considerations
Data Science and Machine Learning for the EnterpriseCloudera, Inc.
Overview of Machine Learning and how the Cloudera Data Science Workbench provides full access to data while supporting IT SLAs. The presentation includes details on Fast Forward Labs and The Value of Interpretability in Models.
Evolution from Apache Hadoop to the Enterprise Data Hub by Cloudera - ArabNet...ArabNet ME
A new foundation for the Modern Information Architecture.
Speaker: Amr Awadallah, CTO & Cofounder, Cloudera
Our legacy information architecture is not able to cope with the realities of today's business. This is because it is not able to scale to meet our SLAs due to separation of storage and compute, economically store the volumes and types of data we currently confront, provide the agility necessary for innovation, and most importantly, provide a full 360 degree view of our customers, products, and business. In this talk Dr. Amr Awadallah will present the Enterprise Data Hub (EDH) as the new foundation for the modern information architecture. Built with Apache Hadoop at the core, the EDH is an extremely scalable, flexible, and fault-tolerant, data processing system designed to put data at the center of your business.
There’s been a great interest in applying Data Science and Machine Learning algorithms for the insight from data lately. Fundamentally, these techniques are only made practical by today’s scale-out Modern Data Architecture, which enables these algorithms to perform computation at massive scale economically.
The focus of this talk is on the scale-out architecture, pioneered by Google. Initially a niche system architecture that is only applicable to Google, the systems built on top of the same principles are used in production across many industries, empowering enterprises to get better insights into their business, to become more agile and to do more things that were not possible previously.
I will start the talk by providing the historical context behind the evolution of data architecture, and then dive into the technical details of the scale-out system, Hadoop and its ecosystem. Afterwards, I will present a few notable production use cases of the system. Finally, I will touch upon some of the exciting challenges and opportunities lying ahead for the future data architecture.
Simplifying Real-Time Architectures for IoT with Apache KuduCloudera, Inc.
3 Things to Learn About:
*Building scalable real time architectures for managing data from IoT
*Processing data in real time with components such as Kudu & Spark
*Customer case studies highlighting real-time IoT use cases
Introducing Cloudera Navigator Optimizer: Offload Assessments and Active Data...Cloudera, Inc.
Cloudera Enterprise can be used as an adaptive, high-performance analytic database, complementing existing data warehouses by relieving the pressure of growing numbers of ETL jobs and BI analytics. But where do you get started when developing your offload strategy? How can you identify which workloads are the best fit for which system? And once you’re up and running, how can you constantly adapt to Hadoop’s changing data needs?
Cloudera Navigator Optimizer eases the path for moving the right workloads to Hadoop and then actively manages data allowing you to take advantage of Hadoop’s benefits. Now generally available with the recent release of Cloudera 5.8 and a unique part of Cloudera’s analytic database solution, Navigator Optimizer gives you the workload visibility and assessments to build a predictable offload plan, adapt to evolving data and workload demands, and optimize query performance for Hadoop technologies
3 Things to Learn:
Join Ewa Ding, Senior Product Manager at Cloudera, as she discusses:
-An overview of Cloudera Navigator Optimizer and its key features
-A live demo and key use cases of this web-based tool
-What’s next for active data optimization in Hadoop
Neustar is a fast growing provider of enterprise services in telecommunications, online advertising, Internet infrastructure, and advanced technology. Neustar has engaged Think Big Analytics to leverage Hadoop to expand their data analysis capacity. This session describes how Hadoop has expanded their data warehouse capacity, agility for data analysis, reduced costs, and enabled new data products. We look at the challenges and opportunities in capturing 100′s of TB’s of compact binary network data, ad hoc analysis, integration with a scale out relational database, more agile data development, and building new products integrating multiple big data sets.
Powering the Internet of Things with Apache HadoopCloudera, Inc.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Cloudera is pioneering next generation data management solutions, enabling organizations to build an enterprise data hub (EDH) as the backbone to any IoT initiative.
How are new IoT devices being designed, built & integrated to big data platforms such as Hadoop. Ammeon design such systems to integrate with and provide critical support for new device creators to bring their products to market.
Cloudera Morphlines is a new open source framework, recently added to the CDK, that reduces the time and skills necessary to integrate, build, and change Hadoop processing applications that extract, transform, and load data into Apache Solr, Apache HBase, HDFS, enterprise data warehouses, or analytic online dashboards.
Building a Modern Analytic Database with Cloudera 5.8Cloudera, Inc.
Analytic workloads and the ability to determine “what happened” are some of the most common use cases across enterprises today - helping you understand and adapt based on changing trends. However, for most businesses today, they are only able to see a piece of the story. Analytics are limited by the amount of data able to be stored and ultimately accessed, it’s time-intensive to bring in new datasets or fit unstructured data into rigid schemas, and user access is constrained to a select few who must already know the questions they’re trying to answer.
It’s no surprise that big data is disrupting this modus operandi for analytics. A modern, Hadoop-based platform is designed to help businesses break free of these analytic limitations, providing a new kind of adaptive, high-performance analytic database. The recent release of Cloudera 5.8 continues to advance Cloudera Enterprise as the foundation for these analytic workloads.
Join Justin Erickson, Senior Director of Product Management at Cloudera, and Andy Frey, Chief Technology Officer at Marketing Associates, as they discuss:
-What technology is needed to build a modern analytic database with Hadoop
-What’s new with Cloudera 5.8
-How to align your teams around agile analytics
-Real world success from Marketing Associates
-What’s next for Cloudera Enterprise’s Analytic Database
The IoT Methodology aims to provide a loosely structured ecosystem of mutual value for all who participate, driven by sharing, collaboration, community and learning. An ecosystem made up of tools, design patterns, architecture references and guidelines to build IoT solutions.
In the spirit of the World Wide Web and Open Source communities across the globe, a new collaborative effort must be taken to make the Internet of Things a reality.
It’s alive, it grows, it expands, it has no end date or budget restriction.
Gartner Data and Analytics Summit: Bringing Self-Service BI & SQL Analytics ...Cloudera, Inc.
For self-service BI and exploratory analytic workloads, the cloud can provide a number of key benefits, but the move to the cloud isn’t all-or-nothing. Gartner predicts nearly 80 percent of businesses will adopt a hybrid strategy. Learn how a modern analytic database can power your business-critical workloads across multi-cloud and hybrid environments, while maintaining data portability. We'll also discuss how to best leverage the increased agility cloud provides, while maintaining peak performance.
Analytic Platforms in the Real World with 451Research and Calpont_July 2012Calpont Corporation
Matt Aslett, 451 Research, and Bob Wilkinson, VP Engineering for Calpont, discuss the emergence of the analytic platform, its place the new ecosystem for Big Data, considerations for selection, and applied use cases of Calpont’s analytic platform, InfiniDB, in Telco and Mobile Advertising.
Webinar | From Zero to Big Data Answers in Less Than an Hour – Live Demo SlidesCloudera, Inc.
Slides describing Cloudera and Karmasphere, and how combined their products can install a Hadoop cluster, import data, run queries and generate results.
The flexibility of Apache Hadoop is one of its biggest assets – enabling businesses to generate value from data that was previously considered too expensive to be stored and processed in traditional databases – but also results in Hadoop meaning different things to different people. In this session 451 Research’s Matt Aslett will explore the impact that Hadoop is having on the traditional data processing landscape, examining the expanding ecosystem of vendors and their relationships with Apache Hadoop, investigating the increasing variety of Hadoop use-cases, and exploring adoption trends around the world.
Hadoop World 2011: How Hadoop Revolutionized Business Intelligence and Advanc...Cloudera, Inc.
"Amr Awadallah served as the VP of Engineering of Yahoo's Product
Intelligence Engineering (PIE) team for a number of years. The PIE
team was responsible for business intelligence and advanced data
analytics across a number of Yahoo's key consumer facing properties (search, mail, news, finance, sports, etc). Amr will share the data architecture that PIE had implementted before Hadoop was deployed and the headaches that architecture entailed. Amr will then show how most, if not all of these headaches were eliminated once Hadoop was deployed. Amr will illustrate how Hadoop and Relational Database complement each other within the traditional business intelligence data stack, and how that enables organizations to access all their data under different
operational and economic constraints."
Hadoop World 2011: The Blind Men and the Elephant - Matthew Aslett - The 451 ...Cloudera, Inc.
Who is contributing to the Hadoop ecosystem, what are they contributing, and why? Who are the vendors that are supplying Hadoop-related products and services and what do they want from Hadoop? How is the expanding ecosystem benefiting or damaging the Apache Hadoop project? What are the emerging alternatives to Hadoop and what chance do they have? In this session, the 451 Group will seek to answer these questions based on their latest research and present their perspective of where Hadoop fits in the total data management landscape.
Glimpse of advantage, limitations of Hadoop and Goals / Business benefits of Data Warehouse and few use cases where Hadoop can be used to strengthen Enterprise Data Warehouse of any organization.
Introducing the Big Data Ecosystem with Caserta Concepts & TalendCaserta
In this one-hour webinar, Caserta Concepts and Talend described an approach to achieve an architectural framework and roadmap to extend a traditional enterprise data warehouse environment, into a Big Data ecosystem.
They illustrated the architectural components involved for collecting, analyzing and delivering Big Data, with a focus on the importance of Hadoop, Data Integration, Machine Learning, NoSQL, Business Intelligence and Analytics.
Attendees learned:
Which Big Data technologies can’t be ignored
Considerations when extending the data ecosystem
What happens to your existing investment
What are the points of integration
Does Big Data = better data?
To find access the recorded webinar or to learn more, visit http://www.casertaconcepts.com/.
One of my old presentation to our management covers the following topics
History and Milestones
Traditional Data Warehouse
Key trends breaking the traditional data warehouse
Modern Data Warehouse
Multiple parallel processing (MPP) architecture
Hadoop Ecosystem
Technical Innovation on Hadoop
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
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.
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
Managing The Data Deluge By Optimizing StorageDell World
IDC predicts the overall big data and analytics market will hit $125 billion in 2015 as organizations increasingly seek to gain insight and competitive advantage from their ever-increasing volumes of data. Learn how Dell's broad portfolio of flexible, scalable and cost-effective storage solutions with cutting-edge flash, intelligent data placement, and software-defined technologies deliver a more agile and efficient data infrastructure to better achieve these goals.
Enterprise Hadoop is Here to Stay: Plan Your Evolution StrategyInside Analysis
The Briefing Room with Neil Raden and Teradata
Live Webcast on August 19, 2014
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=1acd0b7ace309f765dc3196001d26a5e
Modern enterprises have been able to solve information management woes with the data warehouse, now a staple across the IT landscape that has evolved to a high level of sophistication and maturity with thousands of global implementations. Today’s modern enterprise has a similar challenge; big data and the fast evolution of the Hadoop ecosystem create plenty of new opportunities but also a significant number of operational pains as new solutions emerge.
Register for this episode of The Briefing Room to hear veteran Analyst Neil Raden as he explores the details and nature of Hadoop’s evolution. He’ll be briefed by Cesar Rojas of Teradata, who will share how Teradata solves some of the Hadoop operational challenges. He will also explain how the integration between Hadoop and the data warehouse can help organizations develop a more responsive and robust data management environment.
Visit InsideAnlaysis.com for more information.
Similar to The Business Advantage of Hadoop: Lessons from the Field – Cloudera Summer Webinar Series: 451 Research (20)
Cloudera Data Impact Awards 2021 - Finalists Cloudera, Inc.
This annual program recognizes organizations who are moving swiftly towards the future and building innovative solutions by making what was impossible yesterday, possible today.
The winning organizations' implementations demonstrate outstanding achievements in fulfilling their mission, technical advancement, and overall impact.
The 2021 Data Impact Awards recognize organizations' achievements with the Cloudera Data Platform in seven categories:
Data Lifecycle Connection
Data for Enterprise AI
Cloud Innovation
Security & Governance Leadership
People First
Data for Good
Industry Transformation
2020 Cloudera Data Impact Awards FinalistsCloudera, Inc.
Cloudera is proud to present the 2020 Data Impact Awards Finalists. This annual program recognizes organizations running the Cloudera platform for the applications they've built and the impact their data projects have on their organizations, their industries, and the world. Nominations were evaluated by a panel of independent thought-leaders and expert industry analysts, who then selected the finalists and winners. Winners exemplify the most-cutting edge data projects and represent innovation and leadership in their respective industries.
Machine Learning with Limited Labeled Data 4/3/19Cloudera, Inc.
Cloudera Fast Forward Labs’ latest research report and prototype explore learning with limited labeled data. This capability relaxes the stringent labeled data requirement in supervised machine learning and opens up new product possibilities. It is industry invariant, addresses the labeling pain point and enables applications to be built faster and more efficiently.
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Cloudera, Inc.
In this session, we will cover how to move beyond structured, curated reports based on known questions on known data, to an ad-hoc exploration of all data to optimize business processes and into the unknown questions on unknown data, where machine learning and statistically motivated predictive analytics are shaping business strategy.
Introducing Cloudera DataFlow (CDF) 2.13.19Cloudera, Inc.
Watch this webinar to understand how Hortonworks DataFlow (HDF) has evolved into the new Cloudera DataFlow (CDF). Learn about key capabilities that CDF delivers such as -
-Powerful data ingestion powered by Apache NiFi
-Edge data collection by Apache MiNiFi
-IoT-scale streaming data processing with Apache Kafka
-Enterprise services to offer unified security and governance from edge-to-enterprise
Introducing Cloudera Data Science Workbench for HDP 2.12.19Cloudera, Inc.
Cloudera’s Data Science Workbench (CDSW) is available for Hortonworks Data Platform (HDP) clusters for secure, collaborative data science at scale. During this webinar, we provide an introductory tour of CDSW and a demonstration of a machine learning workflow using CDSW on HDP.
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Cloudera, Inc.
Join Cloudera as we outline how we use Cloudera technology to strengthen sales engagement, minimize marketing waste, and empower line of business leaders to drive successful outcomes.
Leveraging the cloud for analytics and machine learning 1.29.19Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on Azure. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Cloudera, Inc.
Join us to learn about the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.
Leveraging the Cloud for Big Data Analytics 12.11.18Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on AWS. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Extending Cloudera SDX beyond the PlatformCloudera, Inc.
Cloudera SDX is by no means no restricted to just the platform; it extends well beyond. In this webinar, we show you how Bardess Group’s Zero2Hero solution leverages the shared data experience to coordinate Cloudera, Trifacta, and Qlik to deliver complete customer insight.
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
Join Cloudera Fast Forward Labs Research Engineer, Mike Lee Williams, to hear about their latest research report and prototype on Federated Learning. Learn more about what it is, when it’s applicable, how it works, and the current landscape of tools and libraries.
Analyst Webinar: Doing a 180 on Customer 360Cloudera, Inc.
451 Research Analyst Sheryl Kingstone, and Cloudera’s Steve Totman recently discussed how a growing number of organizations are replacing legacy Customer 360 systems with Customer Insights Platforms.
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Introducing the data science sandbox as a service 8.30.18Cloudera, Inc.
How can companies integrate data science into their businesses more effectively? Watch this recorded webinar and demonstration to hear more about operationalizing data science with Cloudera Data Science Workbench on Cazena’s fully-managed cloud platform.
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
Vat Registration is a legal obligation for businesses meeting the threshold requirement, helping companies avoid fines and ramifications. Contact now!
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Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
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Kyiv PMDay 2024 Summer
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Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Discover the innovative and creative projects that highlight my journey throu...
The Business Advantage of Hadoop: Lessons from the Field – Cloudera Summer Webinar Series: 451 Research
1. THE BUSINESS ADVANTAGE OF
HADOOP: LESSONS FROM THE FIELD
Matt Aslett, Research Manager, 451 Research
Mike Olson, CEO, Cloudera
Bill Theisinger, Executive Director, Platform Data Services, YP
Aaron Wiebe, Blackberry Infrastructure Architect, Research In Motion
1
12. 2008 2009 2011 2012 BEYOND…
CLOUDERA CDH: CLOUDERA CLOUDERA TRANSFORMING
FOUNDED BY MIKE FIRST REACHES 100 ENTERPRISE 4: HOW COMPANIES
OLSON, COMMERCIAL PRODUCTION THE STANDARD THINK ABOUT
AMR AWADALLAH & APACHE CUSTOMERS FOR HADOOP IN DATA
JEFF HADOOP THE ENTERPRISE
HAMMERBACHER DISTRIBUTION
CHANGING
CLO UDERA THE WORLD
ENTERPRIS ONE PETABYTE
E AT A TIME
4
2009 2010 2011 2012
HADOOP CLOUDERA CLOUDERA CLOUDERA
CREATOR DOUG MANAGER: UNIVERSITY CONNECT
CUTTING JOINS FIRST EXPANDS TO 140 REACHES 300
CLOUDERA MANAGEMENT COUNTRIES PARTNERS
APPLICATION FOR
HADOOP
12
13. CLOUDERA ENTERPRISE EDUCATION
CLOUDERA SUPPORT:
OUR TEAM OF EXPERTS ON CALL TO HELP YOU MEET YOUR SERVICE DEVELOPERS
LEVEL AGREEMENTS (SLAS)
ADMINISTRATORS
CLOUDERA MANAGER:
END-TO-END MANAGEMENT APPLICATION FOR THE DEPLOYMENT &
OPERATION OF CDH
DATA SCIENTISTS
CDH:
BIG DATA STORAGE, PROCESSING & ANALYTICS PLATFORM BASED CERTIFICATION
ON APACHE HADOOP – 100% OPEN SOURCE PROGRAMS
PROFESSIONAL SERVICES
USE CASE NEW HADOOP PROOF OF PRODUCTION PROCESS & TEAM DEPLOYMENT
DISCOVERY DEPLOYMENT CONCEPT PILOTS DEVELOPMENT CERTIFICATION
13
21. What we were facing
• Increasing volume of traffic data through our distribution
network
• Need for a system to support changing data complexity and
detail
• Adhere to tighter SLAs
• Provide intra-day reporting
• Benefit from the intelligence trapped in our data
21
22. Legacy processing flow
Data Load
Application Log Data Layer ETL
Data Load Data Warehouse
Data processing
Data Load
• Drop reportable events on the floor
• Loading multiple DBs
• Processing time was significant
• Reporting lag was in days, not hours
• High maintainability required
Page
24. Hadoop processing flow
Data Data Hadoop Platform Data
Applications
LWES Collection Layer Warehouse
• All ETL processing in Hadoop
• Several systems integrate to Hadoop platform
• All Java MapReduce with some Hive for end user and
dependent systems
• Reporting lag in hours, not days
• Actual reduction in maintainability needs
Page
26. Hadoop processing flow
Data
Warehouse
Applications Data Data Hadoop Platform
LWES Collection Layer
HBase Platform
• Migrating some reporting to HBase
• Exposing core business KPIs via APIs
• Replacing various data marts with HBase tables/schemas
• Reducing TCO
• Alignment of core skill sets
Page
27. Hadoop @ Research In Motion
Aaron Wiebe
BlackBerry Infrastructure Architect
28. Internal Use Only
The Problem
1. BlackBerry Services currently generate 500TB of
instrumentation data daily (and growing rapidly).
2. Traditional systems unable to cope with both growth and
access requests.
3. Total global dataset of ~100PB.
28 Confidential and Proprietary
29. Internal Use Only
The Old Way
Event Monitoring Alerting
Filter
Streaming ETL Complex Correlation
Services and
Split Streaming ETL Data Warehouse
Archive Storage
1. - Focus on reducing data to required data set
2. - Pipeline data flows to avoid hitting disk
3. - Scalability issues at most stages
4. - Going back to the Archive was really time consuming
29 Confidential and Proprietary
30. Internal Use Only
The Hadoop Way
Event Monitoring Alerting
Filter
Services and Hadoop
Archive Storage
Split ETL Data Warehouse
Correlation
Stage 1 DWH
1. - Archive storage moved to HDFS
2. - ETL processes converted to Hadoop (Pig+Hive)
3. - Some data warehouse functions migrating to Hadoop
30 Confidential and Proprietary
31. Internal Use Only
Real Results
1. - 90% code base reduction for ETL Tools
2. - Example Performance:
3. - Previous Ad-Hoc query would take around 4 days
- Now takes 53 minutes
- Significant capital cost reductions over previous system
31 Confidential and Proprietary
Hadoop typically solves two types of problems. Data process is the first step after collection. Data is combined and prepared, features extracted and curated Advanced analytics is where science is applied. Extracting and understanding models of how the business operates. The results are then integrated back into business operations. These go by different terms in different industries The applicability of these solutions is broad We ’ve successfully deployed Hadoop and helped solve a diverse set of business problems
Speak to the size and scope of the problem Problems with handling ~100PB of data using traditional methods
-Lose data as pipelines progress -Going back for information after the fact is hard, if not impossible. -
This is where Hadoop fit for us
-But changing to Hadoop has bigger, more massive impacts overall. -Things we couldn ’t even consider doing are now feasible -