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

info@rittmanmead.com 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

info@rittmanmead.com 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 : mark.rittman@rittmanmead.com

•Twitter : @markrittman
About the Speaker

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 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

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

info@rittmanmead.com 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

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
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
open APIs

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

•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

•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

•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

Make provisioning more agile by
embracing “cloud” and “hybrid”
environments
Embrace cloud innovations around
service provision, even for on-premise
deployments

•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

•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

•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

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

User-driven data discovery
Free-form analysis
Connect to SaaS data sources
Standalone datasets, or semantic model

•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

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

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