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Fire in the Hole: How a Spark-Powered Platform Charges Analytics

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The Briefing Room with Dr. Robin Bloor and Platfora
Live Webcast on October 28, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=0a3c69090358622b0acbf58c474c2df0

The future of big data analytics depends heavily on two factors: access and performance. Within the current landscape, business analysts can be limited by the data preparation process, which is often greatly slowed when requesting data from multi-structured sources such as Hadoop. The result? An encumbered workflow. Fortunately, a new solution built on Apache Spark, the open source cluster computing framework, has emerged and has the potential to disrupt the current analytics paradigm.

Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains how big data has forced a sea change in analytical processes. He'll be briefed by Denise Hemke of Platfora, who will tout her company's Big Data Analytic Platform for Hadoop. She will provide a demo and show how Platfora's end-to-end platform can bring next generation capabilities to analytical workflows, including faster access for analysts and more robust development for data scientists.

Visit InsideAnlaysis.com for more information.

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Fire in the Hole: How a Spark-Powered Platform Charges Analytics

  1. 1. Grab some coffee and enjoy the pre-show banter before the top of the hour!
  2. 2. Fire in the Hole: How a Spark-Powered Platform Charges Analytics The Briefing Room
  3. 3. Twitter Tag: #briefr The Briefing Room Welcome Host: Eric Kavanagh eric.kavanagh@bloorgroup.com @eric_kavanagh
  4. 4. ! Reveal the essential characteristics of enterprise software, good and bad ! Provide a forum for detailed analysis of today’s innovative technologies ! Give vendors a chance to explain their product to savvy analysts ! Allow audience members to pose serious questions... and get answers! Twitter Tag: #briefr The Briefing Room Mission
  5. 5. This Month: ANALYTIC PLATFORMS November: DISCOVERY & VISUALIZATION December: INNOVATORS Twitter Tag: #briefr The Briefing Room Topics 2014 Editorial Calendar at www.insideanalysis.com/webcasts/the-briefing-room
  6. 6. Twitter Tag: #briefr The Briefing Room Executive Summary Ø The earth is SHAKING Ø Remain FLEXIBLE Ø EXPECT the future Ø Prepare for CHANGE
  7. 7. Twitter Tag: #briefr The Briefing Room Analyst: Robin Bloor Robin Bloor is Chief Analyst at The Bloor Group robin.bloor@bloorgroup.com @robinbloor
  8. 8. Twitter Tag: #briefr The Briefing Room Platfora ! Platfora is a big data analytics company ! Its Big Data Analytics platform runs natively on the open source Apache Hadoop framework, and it delivers analytics over petabyte-scale data ! The recently released Platfora 4.0, built on Apache Spark, includes Geo Analytics capabilities and added Advanced Visualizations
  9. 9. Twitter Tag: #briefr The Briefing Room Guest: Denise Hemke As a Director of Product Management, Denise Hemke focuses on building BI so business analysts have self-service access to petabyte scale data. Denise has been building enterprise products for the last 13 years in a variety of different industries. She is passionate about partnering with customers, engineering and design. She enjoys building enterprise products that solve real customer use cases with a consumer-quality aesthetic. Early in her career, she focused on the development of BI and management applications for AT&T data centers and their customers. At Salesforce, Denise managed teams responsible for building monitoring & management, debugging, and productivity tools for use by R&D, Operations and customers. Denise also served as the Director of Engineering at Platfora. In that role, she was responsible for innovation and delivery of the customer surface area, which includes rendering large-scale visualizations.
  10. 10. Disrupting the traditional analyst workflow with Platfora and Spark. Denise Hemke, Director of Products October 28, 2014 @denisehemke @platfora 10
  11. 11. Introducing Platfora MISSION LEAD THE INDUSTRY TRANSITION FROM BUSINESS INTELLIGENCE TO BIG DATA ANALYTICS. @denisehemke @platfora 11 #1 Big Data Analytics platform native on Hadoop End-to-end platform built for Multi-Structured Data Self-service, iterative, interactive, and fast
  12. 12. Platfora is the Only End-to-End Big Data Analytics Platform @denisehemke @platfora Analysis Data Preparation 10 % 100% TODAY: “MULTI-STRUCTURED DATA ANALYSIS” Analyst 2005 - TODAY IT “DATA DISCOVERY” Analyst
  13. 13. “Apache Spark is Hadoop's speedy Swiss Army knife.” “Apache lights a fire under Hadoop with Spark.” “Spark is making waves because it’s putting MapReduce on the endangered species list.” @denisehemke @platfora 13
  14. 14. Spark: The New Foundation of Big Data Analytics And, why it matters for your business @denisehemke @platfora “Out of the box” advanced analytics Beyond SQL only Easier to access Vendor neutral and open source In-memory speed Spark is winning 14
  15. 15. Spark: The New Foundation of Big Data Analytics And, why it matters for your business @denisehemke @platfora “Out of the box” advanced analytics Beyond SQL only Easier to access Vendor neutral and open source In-memory speed Spark is winning 15
  16. 16. Spark: The New Foundation of Big Data Analytics And, why it matters for your business @denisehemke @platfora “Out of the box” advanced analytics Beyond SQL only Easier to access Vendor neutral and open source In-memory speed Spark is winning 16
  17. 17. Spark: The New Foundation of Big Data Analytics And, why it matters for your business @denisehemke @platfora “Out of the box” advanced analytics Beyond SQL only Easier to access Vendor neutral and open source In-memory speed Spark is winning 17
  18. 18. Spark: The New Foundation of Big Data Analytics And, why it matters for your business @denisehemke @platfora “Out of the box” advanced analytics Beyond SQL only Easier to access Vendor neutral and open source In-memory speed Spark is winning 18
  19. 19. Spark: The New Foundation of Big Data Analytics And, why it matters for your business @denisehemke @platfora “Out of the box” advanced analytics Beyond SQL only Easier to access Vendor neutral and open source In-memory speed Spark is winning 19
  20. 20. Let’s Avoid the Pitfalls of the Past The big data analytics workflow is broken and needs to be fixed @denisehemke @platfora 20 DATA ADMIN He’s overwhelmed by the number of data preparation requests. DATA SCIENTIST She’s focused on mundane work instead of high value projects. C-SUITE He’s falling behind the competition. BUSINESS ANALYST He can’t answer his questions fast enough.
  21. 21. Let’s Avoid the Pitfalls of the Past The big data analytics workflow is broken and needs to be fixed @denisehemke @platfora 21 DATA ADMIN He’s overwhelmed by the number of data preparation requests. DATA SCIENTIST She’s focused on mundane work instead of high value projects. C-SUITE He’s falling behind the competition. BUSINESS ANALYST He can’t answer his questions fast enough.
  22. 22. Let’s Avoid the Pitfalls of the Past The big data analytics workflow is broken and needs to be fixed @denisehemke @platfora 22 DATA ADMIN He’s overwhelmed by the number of data preparation requests. DATA SCIENTIST She’s focused on mundane work instead of high value projects. C-SUITE He’s falling behind the competition. BUSINESS ANALYST He can’t answer his questions fast enough.
  23. 23. Let’s Avoid the Pitfalls of the Past The big data analytics workflow is broken and needs to be fixed @denisehemke @platfora 23 DATA ADMIN He’s overwhelmed by the number of data preparation requests. DATA SCIENTIST She’s focused on mundane work instead of high value projects. C-SUITE He’s falling behind the competition. BUSINESS ANALYST He can’t answer his questions fast enough.
  24. 24. Let’s Avoid the Pitfalls of the Past The big data analytics workflow is broken and needs to be fixed @denisehemke @platfora 24 DATA ADMIN He’s overwhelmed by the number of data preparation requests. DATA SCIENTIST She’s focused on mundane work instead of high value projects. C-SUITE He’s falling behind the competition. BUSINESS ANALYST He can’t answer his questions fast enough.
  25. 25. Platfora is Laying the Foundation for the Future of Big Data Analytics @denisehemke @platfora 25 Built on Spark The definitive end-to-end Business Analyst workflow built on Spark Next-gen Data Preparation Fast, smart, and powerful data preparation seamlessly integrated into the full-stack Platfora Platform Extensions Adapt the platform to your data and questions while amplifying the work of developers
  26. 26. The Definitive End-to-End Business Analyst Workflow @denisehemke @platfora 26 You can use data science to get better answers • Access to advanced analytics processing models You don’t have to write the code yourself • Integrated into the full-stack platform You’re not stuck in history • Always running on the latest technology Built on Spark
  27. 27. Data Preparation Integrated into an End-to- End Platform @denisehemke @platfora 27 You get revolutionary time to value • Natively integrated full-stack solution So simple your business users can do it • Making data prep visual, safe, and intelligent Powerful for your enterprise • Built to handle enterprise scale big data projects Next-gen data preparation
  28. 28. Configurable Platform Extensions That Meet the Needs of any Business @denisehemke @platfora 28 Platfora Platform Extensions (PPE) You can stop trying to find a BI system that can answer your questions out of the box • Adapt the platform to your data and questions You don’t have to repeat the process, every time your questions change • Reusable and configurable You have all the power in the world • Utilize all of Spark, including access any data source
  29. 29. @denisehemke @platfora 29 DEMO
  30. 30. Questions? Denise Hemke Director of Products Platfora denise@platfora.com @denisehemke @denisehemke @platfora 30
  31. 31. You should know. @denisehemke @platfora 31
  32. 32. Twitter Tag: #briefr The Briefing Room Perceptions & Questions Analyst: Robin Bloor
  33. 33. Lightning Analytics? Is it Real? Robin Bloor, PhD
  34. 34. Data Analytics: A Process u Data Analytics is a multi-disciplinary end-to-end repetitive process u It changed, because of: • Data availability ++ • Parallel technology • Scalable software • Open source tools • M/C Learning Data Access Data Prep Model Analyze Execute Deploy
  35. 35. Does it Matter if it’s Not the Fastest? The situation is COMPLEX rather than simple. Analytics is not Formula 1 racing, but: u It is ITERATIVE u The speed of the END-TO-END PROCESS matters u And, the impact of the technology on the ANALYTICAL PROCESS matters
  36. 36. The Full Monty
  37. 37. Analytical Latencies 1. Data access 2. Data preparation 3. Model development 4. Execution 5. Implementation 6. Model audit & update This is where the rubber meets the road: SPEED = VALUE
  38. 38. The Impending Reality Technology can speed up analytics by two orders of magnitude (on the IT side) THIS WILL CHANGE ANALYTICS
  39. 39. u Are we really short on data scientists? Or are we short on fast analytics tools? u Is the data really big? u Please comment on analytical workloads: • What do you see as the natural IT bottlenecks? • What do you see as the natural business bottlenecks? u Do we want business analysts to become ersatz data scientists?
  40. 40. u In respect to scale, what is your largest implementation by data volume, and what was the industry sector/problem space? u What do you see as the largest barrier to adoption of Platfora?
  41. 41. Twitter Tag: #briefr The Briefing Room
  42. 42. This Month: ANALYTIC PLATFORMS November: DISCOVERY & VISUALIZATION December: INNOVATORS Twitter Tag: #briefr The Briefing Room Upcoming Topics 2014 Editorial Calendar at www.insideanalysis.com/webcasts/the-briefing-room 2015 Editorial Calendar coming soon! www.insideanalysis.com
  43. 43. Twitter Tag: #briefr THANK YOU for your ATTENTION! Some images provided courtesy of Wikimedia Commons and Wikipedia The Briefing Room

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