Oracle BI Hybrid BI : Mode 1 + Mode 2, Cloud + On-Premise Business Analytics
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Mark Rittman, founder of Rittman Mead, discusses Oracle's approach to hybrid BI deployments and how it aligns with Gartner's vision of a modern BI platform. He explains how Oracle BI 12c supports both traditional top-down modeling and bottom-up data discovery. It also enables deploying components on-premises or in the cloud for flexibility. Rittman believes the future is bi-modal, with IT enabling self-service analytics alongside centralized governance.
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Oracle BI Hybrid BI : Mode 1 + Mode 2, Cloud + On-Premise Business Analytics
- 1. [email protected] www.rittmanmead.com @rittmanmead Oracle BI “Hybrid Deployments”, or… What’s all this about the Gartner BIAMQ 2016? Mark Rittman, CTO, Rittman Mead March 2016
- 2. [email protected] www.rittmanmead.com @rittmanmead 2 •Mark Rittman, Co-Founder of Rittman Mead ‣Oracle ACE Director, specialising in Oracle BI&DW ‣14 Years Experience with Oracle Technology ‣Regular columnist for Oracle Magazine •Author of two Oracle Press Oracle BI books ‣Oracle Business Intelligence Developers Guide ‣Oracle Exalytics Revealed ‣Writer for Rittman Mead Blog : http://www.rittmanmead.com/blog •Email : [email protected] •Twitter : @markrittman About the Speaker
- 4. Step back in time
- 5. 2010
- 12. 2016
- 18. [email protected] www.rittmanmead.com @rittmanmead 15 Analytic Workflow Component Traditional BI Platform Modern BI Platform Data source Upfront dimensional modeling required (IT-built star schemas) Upfront modeling not required (flat files/ flat tables) Data ingestion and preparation IT-produced IT-enabled Content authoring Primarily IT staff, but also some power users Business users Analysis Predefined, ad hoc reporting, based on predefined model Free-form exploration Insight delivery Distribution and notifications via scheduled reports or portal Sharing and collaboration, storytelling, open APIs Gartner’s View of A “Modern BI Platform” in 2016
- 20. 2007 - 2015 Died of ingratitude by business users Just when we got the infrastructure right Doesn’t anyone appreciate a single version of the truth? Don’t say we didn’t warn you No you can’t just export it to Excel Watch out Essbase you’re next
- 21. not quite
- 23. and what’s Oracle been up to recently..?
- 24. [email protected] www.rittmanmead.com @rittmanmead Oracle Business Analytics Key Focus Areas Today Pervasive Analytics Analytics for everyone, Complete deployment flexibility and portability Consumerize Analytics Socialize findings, Collaborate, Mobile Visual Analytics Rich and easy to use, Self service, Data access
- 25. [email protected] www.rittmanmead.com @rittmanmead 21 OBIEE12c : The Hybrid, BIModal BI Platform
- 26. [email protected] www.rittmanmead.com @rittmanmead 22 Analytic Workflow Component Traditional BI Platform Modern BI Platform Data source Upfront dimensional modeling required (IT-built star schemas) Upfront modeling not required (flat files/ flat tables) Data ingestion and preparation IT-produced IT-enabled Content authoring Primarily IT staff, but also some power users Business users Analysis Predefined, ad hoc reporting, based on predefined model Free-form exploration Insight delivery Distribution and notifications via scheduled reports or portal Sharing and collaboration, storytelling, open APIs Gartner’s View of A “Modern BI Platform” in 2016
- 27. [email protected] www.rittmanmead.com @rittmanmead 23 Analytic Workflow Component Modern BI Platform Data source Upfront modeling not required (flat files/flat tables) Data ingestion and preparation IT-enabled Content authoring Business users Analysis Free-form exploration Insight delivery Sharing and collaboration, storytelling, open APIs Gartner’s View of A “Modern BI Platform” in 2016
- 28. [email protected] www.rittmanmead.com @rittmanmead 24 IT as an Enabler for the Modern BI Platform
- 29. [email protected] www.rittmanmead.com @rittmanmead 24 IT as an Enabler for the Modern BI Platform Make it possible to acquire and understand new data sources with no IT involvement Provide a means to discover schemas Help with obfuscation and security Support wider range of datatypes
- 30. [email protected] www.rittmanmead.com @rittmanmead 25 IT as an Enabler for the Modern BI Platform
- 31. [email protected] www.rittmanmead.com @rittmanmead 26 •Extend dimensions within an existing Subject Area •Add facts to an existing Subject Area •Standalone analysis outside of Subject Areas •Future plans to allow mashup metadata to be promoted into main RPD model ‣In meantime, can be achieved through process and accelerators Self-Service Data Mashups for Business Agility
- 32. [email protected] www.rittmanmead.com @rittmanmead 27 •Data reservoirs and Big Data Discovery, for landing and analysing data in “Raw” form •Oracle Big Data Preparation Cloud Service, for discovering schema + preparing for analysis Platforms for User-Driven Analysis of Raw Data Data Transfer Data Access Data Factory Data Reservoir Business Intelligence Tools Hadoop Platform File Based Integration Stream Based Integration Data streams Discovery & Development Labs Safe & secure Discovery and Development environment Data sets and samples Models and programs Marketing / Sales Applications Models Machine Learning Segments Operational Data Transactions Customer Master ata Unstructured Data Voice + Chat Transcripts ETL Based Integration Raw Customer Data Data stored in the original format (usually files) such as SS7, ASN.1, JSON etc. Mapped Customer Data Data sets produced by mapping and transforming raw data
- 33. [email protected] www.rittmanmead.com @rittmanmead 27 •Data reservoirs and Big Data Discovery, for landing and analysing data in “Raw” form •Oracle Big Data Preparation Cloud Service, for discovering schema + preparing for analysis Platforms for User-Driven Analysis of Raw Data Data Transfer Data Access Data Factory Data Reservoir Business Intelligence Tools Hadoop Platform File Based Integration Stream Based Integration Data streams Discovery & Development Labs Safe & secure Discovery and Development environment Data sets and samples Models and programs Marketing / Sales Applications Models Machine Learning Segments Operational Data Transactions Customer Master ata Unstructured Data Voice + Chat Transcripts ETL Based Integration Raw Customer Data Data stored in the original format (usually files) such as SS7, ASN.1, JSON etc. Mapped Customer Data Data sets produced by mapping and transforming raw data
- 34. [email protected] www.rittmanmead.com @rittmanmead 28 •Uses Spark MLlib machine learning to profile data and recognise patterns •Automates many of the routine data preparation and profiling work ‣Spot credit card, SSN + other sensitive data, recommends masking ‣Suggest appropriate names, datatypes for columns based on format and data patterns •Allows analyst to focus on key tasks ‣Example of cloud app consumerization Machine-Learning to Automate Data Recommendations
- 35. [email protected] www.rittmanmead.com @rittmanmead 29 •Primary datasource and target is Oracle Storage Cloud Service (like Amazon S3) ‣Oracle Big Data Cloud Service, Oracle DBaaS and others •User can also upload / download files directly into Big Data Prep Service Cloud Datasource Integration & File Upload/Download
- 36. [email protected] www.rittmanmead.com @rittmanmead 30 Future Option : Direct BDP > BICS Integration
- 37. [email protected] www.rittmanmead.com @rittmanmead 31 IT as an Enabler for the Modern BI Platform Make provisioning more agile by embracing “cloud” and “hybrid” environments Embrace cloud innovations around service provision, even for on-premise deployments
- 38. [email protected] www.rittmanmead.com @rittmanmead 32 •Oracle Business Intelligence, re-imagined for the cloud •Runs as part of Oracle Public Cloud, part of wider Oracle Platform-as-a-Service •Pay monthly, min 10 users, rolling upgrades and new features •Entirely thin-client, simplified administration •Aimed at departmental use-cases ‣Sharing data from a spreadsheet ‣Team reporting ‣Development sandboxes ‣User-driven thin-client modeling, eventual BAR file interchange with on-premise Oracle BI Cloud Service - Agile Analytics in the Cloud
- 39. [email protected] www.rittmanmead.com @rittmanmead 33 •Thin-client data modeller continuously enhanced and extended •Model against files, cloud and on-premise databases •Upload on-premise RPD + Catalog to create sandbox environments •Support for variables, dimensions, hierarchies, facts and main RPD elements •Minimal modeling to support deparmental use-cases and analysis Thin-Client Data Modeller for Simple RPD Modelling
- 40. [email protected] www.rittmanmead.com @rittmanmead 34 •Leverages BICS’s new “Upload RPD Data Models to the Cloud” feature ‣Migrate supporting DW to full Oracle DBaaS ‣Update on-prem RPD to connect to DBaaS ‣Upload RPD to BICS •Create new Oracle Cloud users for BICS •ETL can connect via SQL*Net, JDBC etc •Use for wider use-cases than BICS incl. ‣Host full production platform (or test, dev) ‣Create development branches, etc ‣Hybrid environments Hosting Full OBIEE Platforms in Oracle Public Cloud Oracle BICS Oracle DBaaS RPD Upload ETL ToolsBI Administration On-Premise Source DB Data Uploads via SQL*Net
- 41. [email protected] www.rittmanmead.com @rittmanmead 35 The Oracle Hybrid Analytics Journey Business Leader Workgroup Enterprise Data Visualization On-Premise OBI12c + Data Visualization On-Premise OBI12c + Data Visualization + Data Warehouse On-Premise Business Leader Workgroup Enterprise Data Visualization Cloud Service Business Intelligence Cloud Service (includes DV) Business Intelligence Cloud Service + Database Cloud Service
- 42. [email protected] www.rittmanmead.com @rittmanmead 36 IT as an Enabler for the Modern BI Platform User-driven data discovery Free-form analysis Connect to SaaS data sources Standalone datasets, or semantic model
- 43. [email protected] www.rittmanmead.com @rittmanmead 37 •Tableau-style data analysis tool aimed at data analysts and self-service users •Point-and-click exploration and visualisation of datasets •Uses BI Repository as data source, ensuring “single-version-of-the-truth” •Users can also add their own data, “for data mashups” •Coming in next 12 mths with OBIEE12c, but available now in BICS Oracle Visual Analyzer
- 44. [email protected] www.rittmanmead.com @rittmanmead 38 •Just the DV part of BICS •Upload files, connect to SaaS sources •Simple, mobile-enabled data visualisation •Most probably aimed at ISVs and SaaS apps •On-premise DV releases coming soon Oracle Data Visualization Cloud Service
- 45. [email protected] www.rittmanmead.com @rittmanmead 39 •Just the DV part of BICS •Upload files, connect to SaaS sources •Simple, mobile-enabled data visualisation •Most probably aimed at ISVs and SaaS apps •On-premise DV releases coming soon Oracle Data Visualization Cloud Service
- 50. The Future is BiModal
- 51. The Future is Hybrid
- 54. [email protected] www.rittmanmead.com @rittmanmead Oracle BI “Hybrid Deployments”, or… What’s all this about the Gartner BIAMQ 2016? Mark Rittman, CTO, Rittman Mead March 2016