agileanalytics: agile real-time bi with oracle business intelligence, oracle data integrator and...

www.redpillanalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics

AgileAnalytics: Real-Time BI with Oracle Business Intelligence, Oracle

Data Integrator and Oracle GoldenGate

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Stewart Bryson

medium.com/@stewartbryson @stewartbryson linkedin.com/in/stewartbryson

http://www.redpillanalytics.com

mailto:[email protected]

http://twitter.com/RedPillA


About Red Pill Analytics

Capacity Analytics Agile Cloud Development for Oracle BI & Analytics

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Checkmate DevOps for Oracle BI (Cloud-hosted or On-premises)

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Single Doses Training + Strategy + Solutioning + Infrastructure + Support

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Real Time BI with Kevin & Stewart

• 19 episodes over the last 2 years

• Featured guests from the Oracle BI & EPM industry

• Published on iTunes and YouTube

• Join us at the Thursday Deep-Dive session from 9-11am for a LIVE show that will be simultaneously broadcast online!

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AgileAnalytics 1.0: Focus on Performance

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AgileAnalytics 1.0: Focus on Performance

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Exadata: Extreme Performance

OBIEE: Extreme Metadata

Agile: Extreme Methodology





AgileAnalytics 2.0: Focus on Integration

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GoldenGate: Extreme Realtime

ODI: Extreme Transformation





Oracle Information Management Reference Architecture

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1212

Virtu

aliz

atio

n &

Q

uery

Fed

erat

ion

Enterprise Performance Management

Pre-built & Ad-hoc BI Assets

Information Services

Data Ingestion

Information Interpretation

Access & Performance Layer

Foundation Data Layer

Raw Data Reservoir

Data Science

Data Engines & Poly-structured sources

Content

Docs Web & Social Media

SMS

Structured Data Sources

•Operational Data •COTS Data •Master & Ref. Data •Streaming & BAM

Immutable raw data reservoir Raw data at rest is not interpreted

Immutable modeled data. Business Process Neutral form. Abstracted from business process changes

Past, current and future interpretation of enterprise data. Structured to support agile access & navigation

Discovery Lab Sandboxes Rapid Development Sandboxes

Project based data stores to support specific discovery objectives

Project based data stored to facilitate rapid content / presentation delivery

Data Sources






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Abstracts rate of reception from rate of

distribution

Facilitates “right-time” flow of data






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Abstracts atomic data from the business process.

Process-neutral; Business logic agnostic






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Process-specific

Imbued with business logic





SugarCRM (Our Sample Dataset)

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Typical Waterfall Approach

• Interview users • Construct requirements • Create logical data model • SQL prototyping of source model

• Document source-to-target mapping

• ETL development • Front-end development • Performance tuning

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Alternative: Iterative Waterfall?• Design iterations around smaller chunks

• Iteration 1: Interviews and user requirements • Iteration 2: Logical modeling • Iteration 3: ETL Development • Iteration 4: Front-end development

• Requires 4 iterations before we get any usable content

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Manifesto for Agile Software Development

“We are uncovering better ways of developing software by doing it and helping others do it. !

That is, while there is value in the items on the right, we value the items on the left more.” http://agilemanifesto.org/

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http://agilemanifesto.org/


Manifesto Applied to AgileAnalytics• User Stories instead of requirements documents • User asks for content or functionality through a narrative

• Typically includes current version of the report

• Time-boxed iterations • Iteration has a standard length • Choose one or more user stories to fit in that iteration

• Rework is part of the game • There are no “missed requirements”... only those that haven’t been delivered yet.

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Rapid Development Sandbox

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Oracle GoldenGate can

bypass the Staging layer to trickle-feed the

Foundation layer

Staging layers exist to support batch

load scenarios






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We use our Foundation layer

combined with any Access & Performance layer content to close stories immediately






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Developers can use independent development

sandboxes to work on their issues in isolation




Are development sandboxes radical?

RPD Development requires a BI Server

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RPD Development requires a query tool

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RPD Development requires data visualization


Oracle GoldenGate Architecture

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Loading Foundation: Standard ETL Approach

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Source System

Staging Layer

Foundation Layer





Loading Foundation: AgileAnalytics Approach

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Source System

Staging Layer

Foundation Layer





GoldenGate for AgileAnalytics: Loading the Foundation Layer

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map SUGARCRM.ACCOUNTS, target SUGARFND.ACCOUNTS, KEYCOLS(ID, FND_SCN), INSERTALLRECORDS, colmap( USEDEFAULTS, FND_SCN=@GETENV("TRANSACTION" , "CSN"), FND_ROW_RANK=@TOKEN("TK_ROW_RANK"), FND_COMMIT_DATE=@GETENV("GGHEADER" , "COMMITTIMESTAMP"), FND_DML_TYPE=@GETENV("GGHEADER" , "OPTYPE") );

Map SOURCE and TARGET

KEYCOLS defines matching criteria

USEDEFAULTS defines column for column mapping Built-in attributes from the

“token” and the “header”





GoldenGate for AgileAnalytics: Loading the Foundation Layer

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map SUGARCRM.ACCOUNTS, target SUGARFND.ACCOUNTS, KEYCOLS(ID, FND_SCN), INSERTALLRECORDS, colmap( USEDEFAULTS, FND_SCN=@GETENV("TRANSACTION" , "CSN"), FND_ROW_RANK=@TOKEN("TK_ROW_RANK"), FND_COMMIT_DATE=@GETENV("GGHEADER" , "COMMITTIMESTAMP"), FND_DML_TYPE=@GETENV("GGHEADER" , "OPTYPE") );

Map SOURCE and TARGET

KEYCOLS defines matching criteria

USEDEFAULTS defines column for column mapping Built-in attributes from the

“token” and the “header”

INSERTALLRECORDS makes this our Foundation Layer





GoldenGate INSERTALLRECORDS

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NAME TICKER_SYMBOL

OWNERSHIP FND_SCN FND_COMMIT_DATE FND_DML_TYPERed Pill Analytics 2992758 08/20/2012 12:00 AM INSERT

NAME TICKER_SYMBOL OWNERSHIP

Red Pill Analytics






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NAME TICKER_SYMBOL


Red Pill Analytics, LLC Private 2992760 03/13/2013 12:00 AM UPDATE


Red Pill Analytics, LLC Private






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NAME TICKER_SYMBOL


Red Pill Analytics, LLC Private 2992760 03/13/2013 12:00 AM UPDATE

Red Pill Analytics, Inc. RPAI Public 2992762 05/02/2013 12:00 AM UPDATE


Red Pill Analytics, Inc. RPAI Public






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NVL (!LEAD ( fnd_commit_date ) over ! ! ! ( PARTITION BY id ! !! ORDER BY fnd_commit_date ),!to_date( '12/31/9999','mm/dd/yyyy' )!)

NAME FND_SCN FND_COMMIT_DATE FND_EXPIRE_DATE FND_DML_TYPE FND_CURRENTRed Pill Analytics 2992758 08/20/2012 12:00 AM 03/13/2013 12:00 AM INSERT N

Red Pill Analytics, LLC 2992760 03/13/2013 12:00 AM 05/02/2013 12:00 AM UPDATE N

Red Pill Analytics, Inc. 2992762 05/02/2013 12:00 AM 12/31/1999 12:00 AM UPDATE Y






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CASE!WHEN ( RANK() over (PARTITION BY id ! ! ! ORDER BY fnd_commit_date desc )) = 1!THEN 'Y'!ELSE 'N'!END

NAME FND_SCN FND_COMMIT_DATE FND_EXPIRE_DATE FND_DML_TYPE FND_CURRENTRed Pill Analytics 2992758 08/20/2012 12:00 AM 03/13/2013 12:00 AM INSERT N

Red Pill Analytics, LLC 2992760 03/13/2013 12:00 AM 05/02/2013 12:00 AM UPDATE N

Red Pill Analytics, Inc. 2992762 05/02/2013 12:00 AM 12/31/1999 12:00 AM UPDATE Y





Model-Driven Development•Start with thin requirements • Sample reports • SQL whenever possible •Annotated discrepancies

•Development against the Foundation Layer • Top-down approach • Build empty BMM containing logical “facts”, “dimensions” and “hierarchies” •Map physical sources to the BMM

•Develop permanent, high-impact dashboards •No work in this iteration is throw-away

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Model-Driven Development

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•Start with thin requirements • Sample reports • SQL whenever possible •Annotated discrepancies

•Development against the Foundation Layer • Top-down approach • Build empty BMM containing logical “facts”, “dimensions” and “hierarchies” •Map physical sources to the BMM

•Develop permanent, high-impact dashboards •No work in this iteration is throw-away





Model-Driven Development

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Simplification of the Data ModelIntegration of Disparate Data Sources

Addition of Business Logic and Calculations




OBIEE is for star schemas

OBIEE is for star schemas False


Logical Table Sources (LTS) provide the

functionality for mapping transactional schemas as

dimensional models. !

Siebel initially acquired nQuire and the

technology that would become OBIEE to report

against Siebel CRM.





Model-Driven: Mapping Physical to Logical

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Dragging and dropping tables from the Physical Layer is the only way to create logical tables in the Business

Model


OBIEE Gestures

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OBIEE Gestures

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Model-Driven: Dimension Tables

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1

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Model-Driven: Fact Tables

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1

23






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Model-Driven: EDW Content (Date Dimension)

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1

2

3






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Model-Driven: Initial Dashboard

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Dimensional Prompts

Performance Tiles

Operational MetricsTrending Information





ETL Development•We us GoldenGate to populate our Staging layer • Standard batch •Micro batch

•Use Oracle Data Integrator (ODI) to transform our data to meet business requirements •Need to decide what flavor of GoldenGate to use • Extend our current implementation •Use ODI journalization framework

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Loading Access and Performance: Standard Approach

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Staging Layer

Foundation Layer

Access & Performance





Loading Access and Performance: AgileAnalytics Approach

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Staging Layer

Foundation Layer

Source System Access & Performance






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GoldenGate handles Staging and Foundation

layers

Staging Layer

Foundation Layer







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ODI from Staging for transactional table loading

GoldenGate handles Staging and Foundation

layers

Staging Layer

Foundation Layer


ODI from Foundation for complex calculations

and integration





Oracle Data Integrator (ODI)

•Data Integration tool within Oracle Fusion Middleware 12c •Robust sources and targets • Relational databases • Essbase • Flat file and XML •Web services • Big Data

•Declarative design • Logical implementation • Physical implementation

•ETL or E-LT •Database as ETL engine • Java Agents as ETL engine

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Where Have We Seen This Before?

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•Abstraction of physical sources using logical entities •Logic built into a model instead of a process •Metadata-based paradigm selection •“Do the work once”

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Abstraction of physical sourcesLogic built into Models not Processes Metadata-based paradigm-selection





ETL Development: Joins with Declaration

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ETL Development: Collateral from Model-Driven Development

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WITH SAWITH0 AS (select count(T2196.ID) as c1, sum(T2196.AMOUNT) as c2, concat(concat(T3853.FIRST_NAME, ' '), T3853.LAST_NAME) as c3, T2196.LEAD_SOURCE as c4, T2196.SALES_STAGE as c5 from SUGARFND.ACCOUNTS T2041 /* Accounts (Standard) */ , SUGARFND.USERS T3853 /* Users (Account Owner Role) */ , SUGARFND.OPPORTUNITIES T2196 /* Opportunties (Standard) */ , SUGARFND.ACCOUNTS_OPPORTUNITIES T2221 /* Accounts Opportunities (Standard) */ where ( T2041.ASSIGNED_USER_ID = T3853.ID and T2041.ID = T2221.ACCOUNT_ID and T2196.ID = T2221.OPPORTUNITY_ID ) group by T2196.LEAD_SOURCE, T2196.SALES_STAGE, concat(concat(T3853.FIRST_NAME, ' '), T3853.LAST_NAME)), SAWITH1 AS (select distinct 0 as c1, D1.c3 as c2, D1.c4 as c3, D1.c5 as c4, D1.c2 as c5, D1.c1 as c6 from SAWITH0 D1) select D1.c1 as c1, D1.c2 as c2, D1.c3 as c3, D1.c4 as c4, D1.c5 as c5, D1.c6 as c6, D1.c7 as c7, D1.c8 as c8 from ( select D1.c1 as c1, D1.c2 as c2, D1.c3 as c3, D1.c4 as c4, D1.c5 as c5, D1.c6 as c6, sum(D1.c5) over (partition by D1.c3) as c7, sum(D1.c6) over (partition by D1.c3) as c8 from SAWITH1 D1 order by c1, c7 desc, c3 ) D1 where rownum <= 65001 4


ETL Development: Finished Product

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Build Now, Refactor Later

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Front-end developers

aggressively close stories any

way they can

Complex calculations,

direct SQL, BI Publisher, Custom

JavaScript: Nothing is off

limits

A new “Refactor” Story is opened for the Metadata

Developer to consider this content for

inclusion in the RPD



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Metadata developer decides if the complex

front-end content is viable

If viable, the developer aggressively

solves the Refactor Story using complex

calculations or opaque views

The original Refactor Story is reassigned to

the front-end developer to have the analysis point instead to the new metadata

A new Refactor Story is opened for the ETL

developer for any complex

transformations that may belong in the ETL

layer



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ETL Developer decides if the

transformations are viable, and if so, adds new transformations

The Refactor Story is then

reassigned to the Metadata

developer to rework the RPD

using new database attributes



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Where did our Real-Time go?


Realtime Integration

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ETL added latency Pure batch: significant Micro batch: medium

We lost our Realtime capability when we added our Access & Performance

layer


Realtime Integration

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ETL added latency Pure batch: significant Micro batch: medium

We need to a way to get that back utilizing the

Foundation layer

OBIEE Fragmentation


Realtime: Foundational Federation

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WITH SAWITH0 AS (select T8974.OPPORTUNITY_COUNT as c1, T8974.AMOUNT as c2, T8939.INDUSTRY as c3, T8981.LEAD_SOURCE as c4, T8981.NAME as c5, T8981.OPPORTUNITY_ID as c6 from EDW.OPPORTUNITY_DIM T8981 /* Opportunity Dim (Standard) */ , EDW.ACCOUNT_DIM T8939 /* Account Dim (Standard) */ , EDW.OPPORTUNITIES_FACT T8974 /* Opportunities Fact (Standard) */ where ( T8939.ACCOUNT_KEY = T8974.ACCOUNT_KEY and T8939.INDUSTRY = 'Technology' and T8974.OPPORTUNITY_KEY = T8981.OPPORTUNITY_KEY and T8981.LEAD_SOURCE = 'Conference' and 'EDW' = 'Foundation' ) ), SAWITH1 AS (select cast(1 as INTEGER ) as c1, T2196.AMOUNT as c2, T2041.INDUSTRY as c3, T2196.ID as c4, T2196.LEAD_SOURCE as c5, T2196.NAME as c6 from SUGARFND.ACCOUNTS T2041 /* Accounts (Standard) */ , SUGARFND.OPPORTUNITIES T2196 /* Opportunties (Standard) */ , SUGARFND.ACCOUNTS_OPPORTUNITIES T2221 /* Accounts Opportunities (Standard) */ where ( T2041.ID = T2221.ACCOUNT_ID and T2196.ID = T2221.OPPORTUNITY_ID and T2196.LEAD_SOURCE = 'Conference' and case T2041.INDUSTRY when ' ' then 'Not Applicable' else T2041.INDUSTRY end = 'Technology' and TO_DATE('2013-08-15 00:00:00' , 'YYYY-MM-DD HH24:MI:SS') < T2196.DATE_ENTERED ) ), !(continued...)



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SAWITH2 AS ((select D0.c3 as c3, D0.c4 as c4, D0.c5 as c5, 'EDW' as c6, D0.c6 as c7, D0.c1 as c8, D0.c2 as c9 from SAWITH0 D0 union all select case D0.c3 when ' ' then 'Not Applicable' else D0.c3 end as c3, D0.c5 as c4, D0.c6 as c5, 'Foundation' as c6, D0.c4 as c7, D0.c1 as c8, D0.c2 as c9 from SAWITH1 D0)), SAWITH3 AS (select sum(D3.c8) as c1, sum(D3.c9) as c2, D3.c3 as c3, D3.c4 as c4, D3.c5 as c5, D3.c6 as c6, D3.c7 as c7 from SAWITH2 D3 !(continued...)



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SAWITH2 AS ((select D0.c3 as c3, D0.c4 as c4, D0.c5 as c5, 'EDW' as c6, D0.c6 as c7, D0.c1 as c8, D0.c2 as c9 from SAWITH0 D0 union all select case D0.c3 when ' ' then 'Not Applicable' else D0.c3 end as c3, D0.c5 as c4, D0.c6 as c5, 'Foundation' as c6, D0.c4 as c7, D0.c1 as c8, D0.c2 as c9 from SAWITH1 D0)), SAWITH3 AS (select sum(D3.c8) as c1, sum(D3.c9) as c2, D3.c3 as c3, D3.c4 as c4, D3.c5 as c5, D3.c6 as c6, D3.c7 as c7 from SAWITH2 D3 !(continued...)

BI Server does a union between the

Foundation and Performance layers

Union is eliminated when the

“fragmentation column” is used as a

filter


AgileAnalytics: Real-Time BI with Oracle Business Intelligence, Oracle

Data Integrator and Oracle GoldenGate

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Stewart Bryson

medium.com/@stewartbryson @stewartbryson linkedin.com/in/stewartbryson