- Traditional systems are under pressure due to their inability to manage new data sources and costly scaling. A modern data architecture using Apache Hadoop emerges to provide a centralized platform for all enterprise data and applications.
- Hortonworks Data Platform is powered by Apache Hadoop and provides a flexible, scalable platform for storing and processing all data types from any source and supports a variety of applications. It offers governance, security, and operations controls for enterprise data management.
Eliminating the Challenges of Big Data Management Inside HadoopHortonworks
Your Big Data strategy is only as good as the quality of your data. Today, deriving business value from data depends on how well your company can capture, cleanse, integrate and manage data. During this webinar, we discussed how to eliminate the challenges to Big Data management inside Hadoop.
Go over these slides to learn:
· How to use the scalability and flexibility of Hadoop to drive faster access to usable information across the enterprise.
· Why a pure-YARN implementation for data integration, quality and management delivers competitive advantage.
· How to use the flexibility of RedPoint and Hortonworks to create an enterprise data lake where data is captured, cleansed, linked and structured in a consistent way.
Hortonworks and Red Hat Webinar_Sept.3rd_Part 1Hortonworks
As the enterprise's big data program matures and Apache Hadoop becomes more deeply embedded in critical operations, the ability to support and operate it efficiently and reliably becomes increasingly important. To aid enterprise in operating modern data architecture at scale, Red hat and Hortonworks have collaborated to integrate Hortonworks Data Platform with Red Hat's proven platform technologies. Join us in this interactive 3-part webinar series, as we'll demonstrate how Red Hat JBoss Data Virtualization can integrate with Hadoop through Hive and provide users easy access to data.
Hadoop 2.0: YARN to Further Optimize Data ProcessingHortonworks
Data is exponentially increasing in both types and volumes, creating opportunities for businesses. Watch this video and learn from three Big Data experts: John Kreisa, VP Strategic Marketing at Hortonworks, Imad Birouty, Director of Technical Product Marketing at Teradata and John Haddad, Senior Director of Product Marketing at Informatica.
Multiple systems are needed to exploit the variety and volume of data sources, including a flexible data repository. Learn more about:
- Apache Hadoop 2 and YARN
- Data Lakes
- Intelligent data management layers needed to manage metadata and usage patterns as well as track consumption across these data platforms.
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
The Next Generation of Big Data AnalyticsHortonworks
Apache Hadoop has evolved rapidly to become a leading platform for managing and processing big data. If your organization is examining how you can use Hadoop to store, transform, and refine large volumes of multi-structured data, please join us for this session where we will discuss, the emergence of "big data" and opportunities for deriving business value, the evolution of Apache Hadoop and future directions, essential components required in a Hadoop-powered platform, and solution architectures that integrate Hadoop with existing data discovery and data warehouse platforms.
Accelerate Big Data Application Development with Cascading and HDP, Hortonwor...Hortonworks
Accelerate Big Data Application Development with Cascading and HDP, webinar hosted by Hortonworks and Concurrent. Visit Hortonworks.com/webinars to access the recording.
Eliminating the Challenges of Big Data Management Inside HadoopHortonworks
Your Big Data strategy is only as good as the quality of your data. Today, deriving business value from data depends on how well your company can capture, cleanse, integrate and manage data. During this webinar, we discussed how to eliminate the challenges to Big Data management inside Hadoop.
Go over these slides to learn:
· How to use the scalability and flexibility of Hadoop to drive faster access to usable information across the enterprise.
· Why a pure-YARN implementation for data integration, quality and management delivers competitive advantage.
· How to use the flexibility of RedPoint and Hortonworks to create an enterprise data lake where data is captured, cleansed, linked and structured in a consistent way.
Hortonworks and Red Hat Webinar_Sept.3rd_Part 1Hortonworks
As the enterprise's big data program matures and Apache Hadoop becomes more deeply embedded in critical operations, the ability to support and operate it efficiently and reliably becomes increasingly important. To aid enterprise in operating modern data architecture at scale, Red hat and Hortonworks have collaborated to integrate Hortonworks Data Platform with Red Hat's proven platform technologies. Join us in this interactive 3-part webinar series, as we'll demonstrate how Red Hat JBoss Data Virtualization can integrate with Hadoop through Hive and provide users easy access to data.
Hadoop 2.0: YARN to Further Optimize Data ProcessingHortonworks
Data is exponentially increasing in both types and volumes, creating opportunities for businesses. Watch this video and learn from three Big Data experts: John Kreisa, VP Strategic Marketing at Hortonworks, Imad Birouty, Director of Technical Product Marketing at Teradata and John Haddad, Senior Director of Product Marketing at Informatica.
Multiple systems are needed to exploit the variety and volume of data sources, including a flexible data repository. Learn more about:
- Apache Hadoop 2 and YARN
- Data Lakes
- Intelligent data management layers needed to manage metadata and usage patterns as well as track consumption across these data platforms.
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
The Next Generation of Big Data AnalyticsHortonworks
Apache Hadoop has evolved rapidly to become a leading platform for managing and processing big data. If your organization is examining how you can use Hadoop to store, transform, and refine large volumes of multi-structured data, please join us for this session where we will discuss, the emergence of "big data" and opportunities for deriving business value, the evolution of Apache Hadoop and future directions, essential components required in a Hadoop-powered platform, and solution architectures that integrate Hadoop with existing data discovery and data warehouse platforms.
Accelerate Big Data Application Development with Cascading and HDP, Hortonwor...Hortonworks
Accelerate Big Data Application Development with Cascading and HDP, webinar hosted by Hortonworks and Concurrent. Visit Hortonworks.com/webinars to access the recording.
Big Data, Hadoop, Hortonworks and Microsoft HDInsightHortonworks
Big Data is everywhere. And at the center of the big data discussion is Apache Hadoop, a next-generation enterprise data platform that allows you to capture, process and share the enormous amounts of new, multi-structured data that doesn’t fit into transitional systems.
With Microsoft HDInsight, powered by Hortonworks Data Platform, you can bridge this new world of unstructured content with the structured data we manage today. Together, we bring Hadoop to the masses as an addition to your current enterprise data architectures so that you can amass net new insight without net new headache.
Insurance companies of all sizes are challenged to keep up with emerging technologies that deliver a competitive advantage. Recording: https://www.brighttalk.com/webcast/9573/192877
Big data holds the key to greater customer insight and stronger customer relationships. But risk of sensitive data exposure — and compliance violations — keeps many insurers from pursuing big data initiatives and reaping the rewards of business-driven analytics. Join Dataguise and Hortonworks for this live webinar to learn how you can free your organization from traditional information security constraints and unlock the power of your most valuable business assets.
• What do you need to know about PII/PHI privacy before embarking on big data initiatives?
• Why do so many big data initiatives fail before they’ve even begun—and what can you do about it?
• How can IT security organizations help data scientists extract more business value from their data?
• How are leading insurance companies leveraging big data to gain competitive advantage?
Almost every week, news of a proprietary or customer data breach hits the news wave. While attackers have increased the level of sophistication in their tactics, so too have organizations advanced in their ability to build a robust, data-driven defense. Join Hortonworks and Sqrrl to learn how a Modern Data Architecture with Hortonworks Data Platform (HDP) and Sqrrl Enterprise enables intuitive exploration, discovery, and pattern recognition over your big cybersecurity data.
In this webinar you will learn:
--How Apache Hadoop makes it the perfect fit to accumulate cybersecurity data and diagnose the latest attacks
--The effective ways for pinpointing and reasoning about correlated events within your data, and assessing your network security posture.
--How a Modern Data Architecture that includes the power of Hadoop with Hortonworks Data Platform with the massive, secure, entity-centric data models in Sqrrl Enterprise can discover hidden patterns and detect anomalies within your data using linked data analysis.
Join Cloudian, Hortonworks and 451 Research for a panel-style Q&A discussion about the latest trends and technology innovations in Big Data and Analytics. Matt Aslett, Data Platforms and Analytics Research Director at 451 Research, John Kreisa, Vice President of Strategic Marketing at Hortonworks, and Paul Turner, Chief Marketing Officer at Cloudian, will answer your toughest questions about data storage, data analytics, log data, sensor data and the Internet of Things. Bring your questions or just come and listen!
Talend Open Studio and Hortonworks Data PlatformHortonworks
Data Integration is a key step in a Hadoop solution architecture. It is the first obstacle encountered once your cluster is up and running. OK, I have a cluster…now what? Complex scripts? For wide scale adoption of Apache Hadoop, an intuitive set of tools that abstract away the complexity of integration is necessary.
Simplify and Secure your Hadoop Environment with Hortonworks and CentrifyHortonworks
Join this webinar to explore Hadoop security challenges and trends, learn how to simply the connection of your Hortonworks Data Platform to your existing Active Directory infrastructure and hear about real world examples of organizations that are achieving the following benefits:
- Secured Hortonworks environments thanks to Active Directory infrastructure for identity and authentication.
- Increased productivity and security via single sign-on for IT admins and Hadoop users.
- Least privilege and session monitoring for privileged access to Hortonworks clusters.
Webinar URL: http://hortonworks.com/webinar/simplify-and-secure-your-hadoop-environment-with-hortonworks-and-centrify/
Accelerating the Value of Big Data Analytics for P&C Insurers with Hortonwork...Hortonworks
As the Big Data Analytics and the Apache Hadoop ecosystem has matured and gained increasing traction in established industries with faster adoption in the insurance market than originally anticipated, it is clear that the potential benefits for data management and business intelligence are staggering. At the same time, many big data programs have stalled or failed to deliver on their aspirational value proposition, resulting in a substantial gap between expectations of analytics consumers and the ability of big data analytics programs to deliver. Join Hortonworks and Clarity as we review the common needs of Property and Casualty (P&C) Insurers and how to unlock the true value of big data analytics:
Information agility – Centralization of data and decentralization of analysis
Expanded capability – Conventional analysis combined with real-time analytics demands
Reduced expense – Lower costs through cheaper storage while maintaining scalability
We will discuss a modern data architecture that constitutes a mature, enterprise strength Hadoop framework for P&C Insurers that answers the need for governance processes across the enterprise stack. We will cover how a modern data architecture allows organizations to collect, store, analyze and manipulate massive quantities of data on their own terms—regardless of the source of that data - accelerating the real lifetime value of big data and Hadoop analytics for claims, customer sentiment and telematics.
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/
2015 02 12 talend hortonworks webinar challenges to hadoop adoptionHortonworks
Hadoop is no longer optional. Companies of all sizes are in various phases of their own Big Data journey. Whether you are just starting to explore the platform or have multiple clusters up and running, everyone is presented with a similar challenge - developing their internal skillset. Hadoop specialists are hard to find. Hand coding is too prone to error when it comes to storing, integrating or analyzing your data. However, it doesn’t need to be this difficult.
In this recorded webinar, Talend and Hortonworks help you learn how to unify all your data in Hadoop, with no specialized Big Data skills.
Find the recording here. www.talend.com/resources/webinars/challenges-to-hadoop-adoption-if-you-can-dream-it-you-can-build-it
This webinar covers: How Hadoop opens a new world of analytic applications, How to bridge the skills gap with our Big Data solutions, Experience a real-world, simple technical demo
Hortonworks and Clarity Solution Group Hortonworks
Many organizations are leveraging social media to understand consumer sentiment and opinions about brands and products. Analytics in this area, however, is in its infancy and does not always provide a compelling result for effective business impact. Learn how consumer organizations can benefit by integrating social data with enterprise data to drive more profitable consumer relationships. This webinar is presented by Hortonworks and Clarity Solution Group, and will focus on the evolution of Hadoop, the clear advantage of Hortonworks distribution, and business challenges solved by “Consumer720.”
Modernize Your Existing EDW with IBM Big SQL & Hortonworks Data PlatformHortonworks
Find out how Hortonworks and IBM help you address these challenges to enable success to optimize your existing EDW environment.
https://hortonworks.com/webinar/modernize-existing-edw-ibm-big-sql-hortonworks-data-platform/
How to Become an Analytics Ready Insurer - with Informatica and HortonworksHortonworks
Whether you are an insurer, reinsurer, broker or insurance service provider; everything you do is based on analytics. From underwriting to claims to agency and marketing, the smartest and most streamlined business operations at insurance companies are driven by advanced and intelligent analytics. But is your data ready? Are you an “Analytics Ready” insurer? Great analytics starts with great data management. Join us as industry experts from Informatica and Hortonworks share industry trends and best practices to show you how to become an “Analytics Ready” insurer.
The Power of your Data Achieved - Next Gen ModernizationHortonworks
Fueled by ever-changing customer behaviors and an increasing number of industry disruptions, the modern enterprise requires analytics to stay ahead of the game. Today’s data warehouse needs continuous enhancements to address new requirements for advanced analytics, real-time streaming data, Big Data, and unstructured data. The focus should be on developing a forward-looking, future-proof view and holistically addressing the combination of forces that are impacting the existing operational model.
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.
Data in Motion - Data at Rest - Hortonworks a Modern ArchitectureMats Johansson
Presentation at Data Innovation Summit 2016 in Stockholm
How to build a modern data architecture supporting data in motion and data at rest with Hortonworks Data Flow and Data Platform.
A presentation for the Tow Center for Digital Journalism at Columbia University. Full report available at: http://towcenter.org/wp-content/uploads/2014/05/Tow-Center-Data-Driven-Journalism.pdf
Big Data, Hadoop, Hortonworks and Microsoft HDInsightHortonworks
Big Data is everywhere. And at the center of the big data discussion is Apache Hadoop, a next-generation enterprise data platform that allows you to capture, process and share the enormous amounts of new, multi-structured data that doesn’t fit into transitional systems.
With Microsoft HDInsight, powered by Hortonworks Data Platform, you can bridge this new world of unstructured content with the structured data we manage today. Together, we bring Hadoop to the masses as an addition to your current enterprise data architectures so that you can amass net new insight without net new headache.
Insurance companies of all sizes are challenged to keep up with emerging technologies that deliver a competitive advantage. Recording: https://www.brighttalk.com/webcast/9573/192877
Big data holds the key to greater customer insight and stronger customer relationships. But risk of sensitive data exposure — and compliance violations — keeps many insurers from pursuing big data initiatives and reaping the rewards of business-driven analytics. Join Dataguise and Hortonworks for this live webinar to learn how you can free your organization from traditional information security constraints and unlock the power of your most valuable business assets.
• What do you need to know about PII/PHI privacy before embarking on big data initiatives?
• Why do so many big data initiatives fail before they’ve even begun—and what can you do about it?
• How can IT security organizations help data scientists extract more business value from their data?
• How are leading insurance companies leveraging big data to gain competitive advantage?
Almost every week, news of a proprietary or customer data breach hits the news wave. While attackers have increased the level of sophistication in their tactics, so too have organizations advanced in their ability to build a robust, data-driven defense. Join Hortonworks and Sqrrl to learn how a Modern Data Architecture with Hortonworks Data Platform (HDP) and Sqrrl Enterprise enables intuitive exploration, discovery, and pattern recognition over your big cybersecurity data.
In this webinar you will learn:
--How Apache Hadoop makes it the perfect fit to accumulate cybersecurity data and diagnose the latest attacks
--The effective ways for pinpointing and reasoning about correlated events within your data, and assessing your network security posture.
--How a Modern Data Architecture that includes the power of Hadoop with Hortonworks Data Platform with the massive, secure, entity-centric data models in Sqrrl Enterprise can discover hidden patterns and detect anomalies within your data using linked data analysis.
Join Cloudian, Hortonworks and 451 Research for a panel-style Q&A discussion about the latest trends and technology innovations in Big Data and Analytics. Matt Aslett, Data Platforms and Analytics Research Director at 451 Research, John Kreisa, Vice President of Strategic Marketing at Hortonworks, and Paul Turner, Chief Marketing Officer at Cloudian, will answer your toughest questions about data storage, data analytics, log data, sensor data and the Internet of Things. Bring your questions or just come and listen!
Talend Open Studio and Hortonworks Data PlatformHortonworks
Data Integration is a key step in a Hadoop solution architecture. It is the first obstacle encountered once your cluster is up and running. OK, I have a cluster…now what? Complex scripts? For wide scale adoption of Apache Hadoop, an intuitive set of tools that abstract away the complexity of integration is necessary.
Simplify and Secure your Hadoop Environment with Hortonworks and CentrifyHortonworks
Join this webinar to explore Hadoop security challenges and trends, learn how to simply the connection of your Hortonworks Data Platform to your existing Active Directory infrastructure and hear about real world examples of organizations that are achieving the following benefits:
- Secured Hortonworks environments thanks to Active Directory infrastructure for identity and authentication.
- Increased productivity and security via single sign-on for IT admins and Hadoop users.
- Least privilege and session monitoring for privileged access to Hortonworks clusters.
Webinar URL: http://hortonworks.com/webinar/simplify-and-secure-your-hadoop-environment-with-hortonworks-and-centrify/
Accelerating the Value of Big Data Analytics for P&C Insurers with Hortonwork...Hortonworks
As the Big Data Analytics and the Apache Hadoop ecosystem has matured and gained increasing traction in established industries with faster adoption in the insurance market than originally anticipated, it is clear that the potential benefits for data management and business intelligence are staggering. At the same time, many big data programs have stalled or failed to deliver on their aspirational value proposition, resulting in a substantial gap between expectations of analytics consumers and the ability of big data analytics programs to deliver. Join Hortonworks and Clarity as we review the common needs of Property and Casualty (P&C) Insurers and how to unlock the true value of big data analytics:
Information agility – Centralization of data and decentralization of analysis
Expanded capability – Conventional analysis combined with real-time analytics demands
Reduced expense – Lower costs through cheaper storage while maintaining scalability
We will discuss a modern data architecture that constitutes a mature, enterprise strength Hadoop framework for P&C Insurers that answers the need for governance processes across the enterprise stack. We will cover how a modern data architecture allows organizations to collect, store, analyze and manipulate massive quantities of data on their own terms—regardless of the source of that data - accelerating the real lifetime value of big data and Hadoop analytics for claims, customer sentiment and telematics.
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/
2015 02 12 talend hortonworks webinar challenges to hadoop adoptionHortonworks
Hadoop is no longer optional. Companies of all sizes are in various phases of their own Big Data journey. Whether you are just starting to explore the platform or have multiple clusters up and running, everyone is presented with a similar challenge - developing their internal skillset. Hadoop specialists are hard to find. Hand coding is too prone to error when it comes to storing, integrating or analyzing your data. However, it doesn’t need to be this difficult.
In this recorded webinar, Talend and Hortonworks help you learn how to unify all your data in Hadoop, with no specialized Big Data skills.
Find the recording here. www.talend.com/resources/webinars/challenges-to-hadoop-adoption-if-you-can-dream-it-you-can-build-it
This webinar covers: How Hadoop opens a new world of analytic applications, How to bridge the skills gap with our Big Data solutions, Experience a real-world, simple technical demo
Hortonworks and Clarity Solution Group Hortonworks
Many organizations are leveraging social media to understand consumer sentiment and opinions about brands and products. Analytics in this area, however, is in its infancy and does not always provide a compelling result for effective business impact. Learn how consumer organizations can benefit by integrating social data with enterprise data to drive more profitable consumer relationships. This webinar is presented by Hortonworks and Clarity Solution Group, and will focus on the evolution of Hadoop, the clear advantage of Hortonworks distribution, and business challenges solved by “Consumer720.”
Modernize Your Existing EDW with IBM Big SQL & Hortonworks Data PlatformHortonworks
Find out how Hortonworks and IBM help you address these challenges to enable success to optimize your existing EDW environment.
https://hortonworks.com/webinar/modernize-existing-edw-ibm-big-sql-hortonworks-data-platform/
How to Become an Analytics Ready Insurer - with Informatica and HortonworksHortonworks
Whether you are an insurer, reinsurer, broker or insurance service provider; everything you do is based on analytics. From underwriting to claims to agency and marketing, the smartest and most streamlined business operations at insurance companies are driven by advanced and intelligent analytics. But is your data ready? Are you an “Analytics Ready” insurer? Great analytics starts with great data management. Join us as industry experts from Informatica and Hortonworks share industry trends and best practices to show you how to become an “Analytics Ready” insurer.
The Power of your Data Achieved - Next Gen ModernizationHortonworks
Fueled by ever-changing customer behaviors and an increasing number of industry disruptions, the modern enterprise requires analytics to stay ahead of the game. Today’s data warehouse needs continuous enhancements to address new requirements for advanced analytics, real-time streaming data, Big Data, and unstructured data. The focus should be on developing a forward-looking, future-proof view and holistically addressing the combination of forces that are impacting the existing operational model.
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.
Data in Motion - Data at Rest - Hortonworks a Modern ArchitectureMats Johansson
Presentation at Data Innovation Summit 2016 in Stockholm
How to build a modern data architecture supporting data in motion and data at rest with Hortonworks Data Flow and Data Platform.
A presentation for the Tow Center for Digital Journalism at Columbia University. Full report available at: http://towcenter.org/wp-content/uploads/2014/05/Tow-Center-Data-Driven-Journalism.pdf
Realtime Detection of DDOS attacks using Apache Spark and MLLibRyan Bosshart
In this talk we will show how Hadoop Ecosystem tools like Apache Kafka, Spark, and MLLib can be used in various real-time architectures and how they can be used to perform real-time detection of a DDOS attack. We will explain some of the challenges in building real-time architectures, followed by walking through the DDOS detection example and a live demo. This talk is appropriate for anyone interested in Security, IoT, Apache Kafka, Spark, or Hadoop.
Presenter Ryan Bosshart is a Systems Engineer at Cloudera and is the first 3 time presenter at BigDataMadison!
Using Artificial Intelligence to power Service VirtualizationCA Technologies
Technology chat to review the details of how Artificial Intelligence is being used to advance even further the power of CA Service Virtualization. Opaque Data Processing (ODP) allows CA Service Virtualization to virtualize data in sufficient detail when the format of the requests and responses is not known; eliminating the need for a new data handler every time you encounter a new message format. Make sure not to miss this firsthand look at the advances in ODP being showcased during CA World 2015.
For more information, please visit http://cainc.to/Nv2VOe
Top 3 Considerations for Machine Learning on Big DataDatameer
View the full recording of this deck here:
http://info.datameer.com/Slideshare-Top-3-Things-to-Consider-for-Machine-Learning-on-Big-Data.html
Machine learning is powerful but requires coding and access to all the relevant datasets to get full insights. With new Big Data analytic tools, business users can now use machine learning to gain a competitive edge.
Based on best practices and customer experiences, join Datameer and Caserta Concepts as we discuss what to look for and what value organizations get out of Machine Learning on Big Data.
This webinar will provide:
*an overview of challenges and tools available today
*use cases for machine learning on hadoop
*capabilities to look for
*comparison of available solutions
Pivotal Digital Transformation Forum: Becoming a Data Driven EnterpriseVMware Tanzu
Next Steps in Your Digital Transformation
This session brings together all the lessons learnt throughout the day and shares with you practical advice on how to get started with, or accelerate, your journey to become a digital business.
Startup Stage - Business Services - Presentation by Christian Wolf, CEO of parlamind at the NOAH Conference London 2016, Old Billingsgate on the 11th of November 2016.
What if Things Start to Think - Artificial Intelligence in IoTMuralidhar Somisetty
Artificial intelligence will be functionally necessary to wield the vast number of connected “things” online, and will be even more important in making sense of an almost endless sea of data streamed in from these devices.
HfS Webinar Slides: Standard Bank Case Discussion - Improving Customer Experi...HfS Research
This webinar replay shares how Standard Bank transformed its onboarding process by deploying Smart Process Automation. Standard Bank’s insights will enable organizations to clearly make the case for Automation as part of their service delivery strategies.
Learn from practitioners and experts on Smart Process Automation from HfS Research, WorkFusion and Standard Bank as they share their experiences about improving business outcomes through more integrated automation technologies.
Watch this replay and learn:
How did Standard Bank approach the automation of key processes—how did the deployment work and what were the results?
What can you learn from a leading service buyer about the future of Smart Automation?
How do Cognitive Computing and Machine Learning enhance the quality and agility of service delivery?
What is the impact of Smart Automation? What are the main use cases and insights?
Watch the webinar replay: http://www.hfsresearch.com/pointsofview/hfs-webinar-standard-bank-case-discussion-improving-customer-experience-through-rpa-ai-powered
eMarketer Webinar: Artificial Intelligence—The Future Is Already HereeMarketer
Artificial intelligence (AI) is still new in most of the business world, but many marketers may be using it without realizing it. Key topics include: How marketers are currently using AI for business intelligence; Customer acquisition and more; How the marketing-related AI ecosystem is shaping up as new and old players roll out AI technology; How AI makes big data more useful and why marketers think AI will have a major impact on their business in the next five years.
Supporting Financial Services with a More Flexible Approach to Big DataWANdisco Plc
In this webinar, WANdisco and Hortonworks 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
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
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.
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.
Eliminating the Challenges of Big Data Management Inside HadoopHortonworks
Your Big Data strategy is only as good as the quality of your data. Today, deriving business value from data depends on how well your company can capture, cleanse, integrate and manage data. During this webinar, we discuss how to eliminate the challenges to Big Data management inside Hadoop.
Learn how when an organizations combine HP and Vertica Analytics Platform and Hortonworks, they can quickly explore and analyze broad variety of data types to transform to actionable information that allows them to better understand how their customers and site visitors interact with their business, offline and online.
Rescue your Big Data from Downtime with HP Operations Bridge and Apache HadoopHortonworks
How can you simplify the management and monitoring of your Hadoop environment? Ensure IT can focus on the right business priorities supported by Hadoop? Take a look at this presentation and learn how you can simplify the management and monitoring of your Hadoop environment, and ensure IT can focus on the right business priorities supported by Hadoop.
Apache Hadoop and its role in Big Data architecture - Himanshu Barijaxconf
In today’s world of exponentially growing big data, enterprises are becoming increasingly more aware of the business utility and necessity of harnessing, storing and analyzing this information. Apache Hadoop has rapidly evolved to become a leading platform for managing and processing big data, with the vital management, monitoring, metadata and integration services required by organizations to glean maximum business value and intelligence from their burgeoning amounts of information on customers, web trends, products and competitive markets. In this session, Hortonworks' Himanshu Bari will discuss the opportunities for deriving business value from big data by looking at how organizations utilize Hadoop to store, transform and refine large volumes of this multi-structured information. Connolly will also discuss the evolution of Apache Hadoop and where it is headed, the component requirements of a Hadoop-powered platform, as well as solution architectures that allow for Hadoop integration with existing data discovery and data warehouse platforms. In addition, he will look at real-world use cases where Hadoop has helped to produce more business value, augment productivity or identify new and potentially lucrative opportunities.
Leverage Big Data to Enhance Customer Experience in Telecommunications – with...Hortonworks
Take a look at this presentation from Hortonworks and Skytree and learn how Communications Service Providers can enhance their customers experience by:
– Creating a Data Lake for a 360 degree customer view.
– Building dynamic customer profiles.
– Leveraging a next-best-action streaming engine.
You will learn more about how Hortonworks Hadoop Distribution Platform and Skytree Machine Learning Solution can help you do so.
Speakers: Dr. Alexander Gray, CTO at Skytree, and Sanjay Kumar, General Manager, Hortonworks
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
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.
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.
Human Information is made up of ideas, is diverse, and has context.
Ideas don’t exactly match like data does; they have distance.
Human Information is not static – it’s dynamic and lives everywhere.
Details on applications
HAVEn is integrated to costumers architecture through other n Apps
HP has started modifying our existing application portfolio to use HAVEn
And HP is building new applications that leverage power of HAVEn
Many customers are already building applications that use multiple HAVEn
C-BAG Big Data Meetup Chennai Oct.29-2014 Hortonworks and Concurrent on Casca...Hortonworks
Big Data is moving to the next level of maturity and it’s all about the applications. Dhruv Kumar, one of the minds behind Cascading, the most widely used and deployed development framework for building Big Data applications, will discuss how Cascading can enable developers to accelerate the time to market for their data applications, from development to production. In this session, Dhruv will introduce how to easily and reliably develop, test, and scale your data applications and then deploy them on Hadoop and Hortonworks Data Platform. He will show a demo using the Hortonworks Sandbox and Cascading. Recording is at
https://hortonworks.webex.com/hortonworks/lsr.php?RCID=e5582bcbc0516d35fc2dcf0bce86146e
Similar to Hortonworks & Bilot Data Driven Transformations with Hadoop (20)
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Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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15. Spotify Use Case
Full presentation available at:
http://www.slideshare.net/JoshBaer/how-apache-drives-music-
recommendations-at-spotify?related=1