Oracle BI Hybrid BI : Mode 1 + Mode 2, Cloud + On-Premise Business Analytics

[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

[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

mailto:[email protected]

Step back in time


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

2007 - 2015

Died of ingratitude by business usersJust 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 ExcelWatch out Essbase you’re next

not quite

and what’s Oracle been up to recently..?


20

Oracle Business Analytics Key Focus Areas Today

PervasiveAnalytics

Analyticsforeveryone,Completedeployment

flexibilityandportability

ConsumerizeAnalytics

Socializefindings,Collaborate,Mobile

VisualAnalytics

Richandeasytouse,Selfservice,Data

access


OBIEE12c : The Hybrid, BIModal BI Platform


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



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



IT as an Enabler for the Modern BI Platform



MakeitpossibletoacquireandunderstandnewdatasourceswithnoITinvolvementProvideameanstodiscoverschemasHelpwithobfuscationandsecuritySupportwiderrangeofdatatypes


•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 throughprocess and accelerators

Self-Service Data Mashups for Business Agility


•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

DataTransfer DataAccess

DataFactory DataReservoir

BusinessIntelligenceTools

HadoopPlatform

FileBasedIntegration

StreamBased

Integration

Datastreams

Discovery&DevelopmentLabsSafe&secureDiscoveryandDevelopment

environment

Datasetsandsamples

Models andprograms

Marketing/SalesApplications

Models

MachineLearning

Segments

OperationalData

Transactions

CustomerMasterata

UnstructuredData

Voice+ChatTranscripts

ETLBasedIntegration

RawCustomerData

Datastoredintheoriginal

format(usuallyfiles)suchasSS7,ASN.1,JSONetc.

MappedCustomerData

Datasetsproducedbymappingandtransformingrawdata


•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


•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


Future Option : Direct BDP > BICS Integration



Makeprovisioningmoreagilebyembracing“cloud”and“hybrid”environmentsEmbracecloudinnovationsaroundserviceprovision,evenforon-premisedeployments


•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, eventualBAR file interchange with on-premise

Oracle BI Cloud Service - Agile Analytics in the Cloud


•Thin-client data modeller continuously enhanced and extended•Model against files, cloud and on-premise databases•Upload on-premise RPD + Catalog tocreate sandbox environments

•Support for variables, dimensions,hierarchies, facts and main RPD elements

•Minimal modeling to support deparmentaluse-cases and analysis

Thin-Client Data Modeller for Simple RPD Modelling


•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 Uploadsvia SQL*Net


The Oracle Hybrid Analytics Journey

BusinessLeader Workgroup Enterprise

DataVisualizationOn-Premise

OBI12c+DataVisualization

On-Premise

OBI12c+DataVisualization+DataWarehouse

On-Premise

BusinessLeader Workgroup Enterprise

DataVisualizationCloudService

BusinessIntelligence CloudService(includesDV)

BusinessIntelligence CloudService+

DatabaseCloudService



User-drivendatadiscoveryFree-formanalysisConnecttoSaaSdatasourcesStandalonedatasets,orsemanticmodel


•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


•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

The Future is BiModal

The Future is Hybrid

http://www.rittmanmead.com


Oracle BI “Hybrid Deployments”, or… What’s all this about the Gartner BIAMQ 2016?Mark Rittman, CTO, Rittman Mead March 2016

Oracle BI Hybrid BI : Mode 1 + Mode 2, Cloud + On-Premise Business Analytics

Data & Analytics

Transcript of Oracle BI Hybrid BI : Mode 1 + Mode 2, Cloud + On-Premise Business Analytics