1. 1 Actuate Corporation © 2012 Big Data and Business Intelligence Virgil Dodson

2. 2 Actuate Corporation © 2012 Today’s Agenda and Goals Introduction to Big Data Eclipse Survey Results Independent Survey Results Introduction to BIRT Big Data Connections Live Demo Questions

3. 3 Actuate Corporation © 2012 Big Data Definition Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. web logsRFID sensorssocial networks Internet textsearch indexes call detail recordsastronomy atmospheric info genomics biogeochemical biologicalmilitary surveillancemedical records photographsvideo large-scale e-commerce - Wikipedia

4. 4 Actuate Corporation © 2012 The “Digital Universe” will expand to over 4 zettabytes… Over 50% growth from 2012 The Big Data focus will shift “up the stack”, toward analytics and discovery, and analytic applications Spending will reach $10 billion in 2013, over $20 billion by 2016 Source: IDC, IDC Predictions 2013 presentation IDC 2013 Big Data Predictions

5. 5 Actuate Corporation © 2012 Big Data or Little Data - How Do You Display Yours? The Eclipse Foundation would like to better understand how developers are using Eclipse with big data and reporting projects. We ran this survey to get the pulse of what technologies where in demand related to Eclipse/BIRT technologies. Eclipse Promoted the Survey. 60% of 518 responders claimed to be big data users Eclipse BIRT Survey – Oct/Nov 2012

6. 6 Actuate Corporation © 2012 Eclipse BIRT Survey - Technology Choices Note: Responders could choose more than one option

7. 7 Actuate Corporation © 2012 Eclipse BIRT Survey - Other Mentions Other Mentions Home grown Jasper Greenplum jdt Netezza ZEND StreamBase hypertable HBase CouchDB torque Pentaho OOZIE Sqoop IBM Inforsphere Streams Kamasphere Bigtop BerekelyDB-JE Next-generation-sequencing (BAM)

8. 8 Actuate Corporation © 2012 Eclipse BIRT Survey - Data Visualization

9. 9 Actuate Corporation © 2012 Report/Visualization Tools Note: Responders could choose more than one option

10. 10 Actuate Corporation © 2012 Goals: How many large firms (>$1B) are conducting Big Data projects What are such companies doing with their Big Data projects What are the expected benefits for those Big Data initiatives What are the inhibitors King Research received 516 surveys 316 completed and 200 partially completed surveys Completed surveys were the primary source of analysis 32% of those who completed survey (98 respondents) work at companies with revenue of $1B or more Independent Big Data Survey – Sept/Oct 2012

11. 11 Actuate Corporation © 2012 26% of large companies have Big Data projects. 40% have not evaluated Big Data or have evaluated and decided not to proceed. The balance (34%) are either evaluating or planning such initiatives. “Not enough staff with expertise” and “Expected cost of Big Data initiatives” are the major inhibitors Major benefits expected from Big Data initiatives are: Make better decisions, faster Gain competitive advantage Improve efficiency Improve customer targeting Major benefits realized from Big Data initiatives are: Gain competitive advantage Improve customer targeting Make better decisions, faster Improve efficiency Independent Big Data Survey – Key Findings

12. 12 Actuate Corporation © 2012 Does your organization have a Big Data implementation today? More large companies have implemented Big Data projects (26%) than the universe of companies represented in this survey (19%) Conversely, far fewer respondents at large companies responded “No” to this question (40% versus the universe of respondents 49%) Independent Big Data Survey – Big Data Usage $1B+ Revenue Universe of Respondents

13. 13 Actuate Corporation © 2012 What Big Data technologies do you plan to use? (eval/planning) We asked about their planned use of 15 technologies, and the top 5, in descending order of frequency of mention are displayed above Other technologies planned for use at $1B+ organizations include: Apache Cassandra, 12%; Hortonworks Hadoop, 12%; Amazon DynamoDB, 9%; Apache CouchDB, 9%; VoltDB, 9%; HyperTable, 6%; 10gen MongoDB, 3%; Datastax Cassandra, 3% Independent Big Data Survey – Big Data Technologies $1B+ Revenue Universe of Respondents

14. 14 Actuate Corporation © 2012 What are likely to be your Big Data applications? (responses from those who are evaluating or planning Big Data implementations) Our survey listed 23 frequently reported Big Data applications and when asked which of these they have evaluated or planned to use, they indicated an average 4.5 apps each. Shown above are the 14 apps that were most frequently indicated Independent Big Data Survey – Application Types

15. 15 Actuate Corporation © 2012 How many people in your organization will consume information from or use your Big Data applications? (evaluating/planning) Clearly companies with revenues of $1B or greater plan to share their Big Data information with large audiences across their companies Independent Big Data Survey – Number of End Users

16. 16 Actuate Corporation © 2012 Actuate Launches the BIRT Project AUGUST 2004 Actuate Joins Eclipse Foundation as Strategic Developer and Board Member Actuate proposed and started BIRT Business Intelligence and Reporting Tools Project … a top-level Eclipse project Adds BI and Reporting as Open Source Project Professional open source Primary development resources funded by Actuate Contributions from many sources IBM, Innovent Solutions and community

17. 17 Actuate Corporation © 2012 Simplicity that makes simple layouts easy Power to create very complex layouts BIRT Business Intelligence and Reporting Tools Makes all data-driven content development easy Modern, web-page design metaphor Open and standards-based Flexible with rich programmatic control Full support for libraries and reuse Foundation for a range of solutions A New Generation of Data Visualization Technology

18. 18 Actuate Corporation © 2012 BIRT Release History September 2004BIRT Project proposal accepted, and project launched June 20051.0Eclipse Report Designer, Report Engine, Chart Engine December 20052.0Support for a wide variety of common layouts June 20062.1Advanced parameters, ability to join data sets, … June 20072.2Dynamic crosstab support, web services data source, … June 20082.3JavaScript Debugger, BiDi Support, Charts in Crosstabs, … June 20092.5Page aggregates, Multiple drill-downs in Charts, … June 20102.6New charts, more chart control, developer productivity, … June 20113.7POJO Runtime, Hive/Hadoop, Open Office emitters… June 20124.2Maven Support, Excel Data Source, Relative Time Periods… Ground-up initiative: Innovative approach to layout and design Developed in the open with community feedback at all stages

19. 19 Actuate Corporation © 2012 BIRT Example Key Capabilities Very Simple to Very Complex Layouts Listings, cross-tab, dashboard, pixel- perfect, charts … Grouping, advanced aggregations, sub- totals, calculations Multi-section and sub-reports Conditional sections and logic Full programmatic control/scripting Embedded images… Comprehensive Data Access SQL databases, Web Services, Flat Files, XML, scripted data sources … Multiple data sources in one design… Output Formats HTML, PDF, Excel, Word, PowerPoint… Internationalization of labels and text Bi-Directional language display Re-use and Developer Productivity Library support for publishing and sharing components Leverages common standards (SQL, HTML, JavaScript, Java, XML) Cascading Style Sheets Built-in debugger… Interactivity and Linking Data driven hyperlinks Drill-through charts and graphics… Multiple Usage and Productivity Aids Graphical layout and design Query & metadata editors Formatting Builder Grouping Builder Customizable cheat sheets and templates…

20. 20 Actuate Corporation © 2012 Getting to Know BIRT DEMO

21. 21 Actuate Corporation © 2012 BIRT Design Gallery Charts and Tables Listing with Groups and Sub-Totals

22. 22 Actuate Corporation © 2012 BIRT Design Gallery Crosstabs Crosstab and Charts

23. 23 Actuate Corporation © 2012 BIRT Design Gallery Forms Calendar / Schedule

24. 24 Actuate Corporation © 2012 BIRT Design Gallery Dashboards Multi-Language and Bi-Directional

25. 25 Actuate Corporation © 2012 BIRT Chart Gallery

26. 26 Actuate Corporation © 2012 BIRT Chart Gallery

27. 27 Actuate Corporation © 2012 BIRT Chart Gallery

28. 28 Actuate Corporation © 2012 BIRT Designer High-Level BIRT Architecture BIRT Engine Presentation Services Presentation Services Design Engine Generation Services Generation Services Data Services Data Services Charting Engine Charting Engine Eclipse Designer Chart Designer Chart Designer Eclipse DTP, WTP,… Eclipse DTP, WTP,… Data HTML PDF Excel Word PowerPoint PostScript … XML Design Document

29. 29 Actuate Corporation © 2012 Design Engine Report Engine Chart Engine Produces XML Report, Templates, and Library Designs Runs Reports and produces output – PDF, HTML, Doc, XLS, PS, PPT Etc Consume Chart EMF model and produces Chart Output. Supports 14 Main types and many sub types. Ouputs to PNG, JPG, BMP, SVG, PDF, SWT, and SWING DE API RE API CE API All Engines can be ran with or without OSGi Report DesignerChart BuilderExample Viewer Can be ran outside of BIRT Core BIRT Open Source Products High Level BIRT Architecture

30. 30 Actuate Corporation © 2012 BIRT AJAX Based Viewer

31. 31 Actuate Corporation © 2012 BIRT Offers many ways to get data Standard Data Sources Flat File (CSV, TSV, SSV, PSV) Hive Data Source Cassandra Scripted Data Source JDBC Textual or Graphical Web Service - XPath syntax XML - XPath syntax XLS/XLSX Scripted Data Source Written in Java or JavaScript Open Data Access (ODA) DTP Project Extensible JDBC Driver Framework BIRT Data Access Community Contributions GoogleDocs XML/A Casandra REST MongoDB Multi-Flat File GitHub Twitter JSON Search Dropbox usage YQL Google Analytics LinkedIn Facebook FQL

32. 32 Actuate Corporation © 2012 Live Demo – New MongoDB ODA DEMO

33. 33 Actuate Corporation © 2012 Connecting to Hadoop

34. 34 Actuate Corporation © 2012 Hive JDBC – HQL Sub Query Example

35. 35 Actuate Corporation © 2012 Hive JDBC – get_json_object UDF

36. 36 Actuate Corporation © 2012 Hive JDBC – RegExP Example

37. 37 Actuate Corporation © 2012 Hive JDBC – HQL Hints example

38. 38 Actuate Corporation © 2012 Hive JDBC – Transform Example

39. 39 Actuate Corporation © 2012 Explore Search/sort Rate, comment Forums Download Documentation Software Examples Contribute BIRT designs, code Technical tips Contests Centralized hub for BIRT developers Access demos, tutorials, tips and techniques, documentation… Enables developers to be more productive and build applications faster Marketplace for applications BIRT Exchange Community Site

40. 40 Actuate Corporation © 2012 Visit BIRT Exchange for full contest details Contest runs from March 28, 2013 to April 30, 2013 Plug-In Categories Open Data Access (ODA) Drivers Output Emitters Report Item Extensions Chart Extensions New iPad for Top 3 Plug-Ins! Plug in to BIRT Spring 2013 Contest

41. 41 Actuate Corporation © 2012 Big Data and Business Intelligence Virgil Dodson vdodson@actuate.com Questions?