real-time data warehouse upgrade – success stories

www.rittmanmead.com [email protected] @rittmanmead

Real-Time Data Warehouse Upgrade - Success StoriesNick Hurt - IFPI Michael Rainey - Rittman Mead BI Forum 2014


Introduction

•Michael Rainey (Rittman Mead) ‣Principal Consultant - Oracle Data Integration expert

•Nick Hurt (IFPI) ‣Solutions Developer - working on Oracle solutions since 2002

•the International Federation of Photographic Societies ‣“the voice” of the recording industry worldwide ‣represents the interests of 1,300 record companies from across the globe ‣acquired funding for OBIEE in 2010 ‣required near real-time anti-piracy analytics


Agenda

•IFPI data - the good, the challenging, the ugly •Pre-upgrade ‣Environment ‣Challenges

•Overview of GoldenGate and Oracle Data Integrator •Upgrade - planning, migration steps •Post-upgrade results •Closing remarks on real-time warehousing


Challenges of IFPI data

•The good ‣Seek & destroy infringing URLs

•The challenging ‣Velocity - 1 mil+ upserts per day ‣Volatility depth - indefinite retrospective updates ‣Large wide product dimension - 12 million rows

•The ugly ‣Multiple redundant updates ‣Back-dated corrections ‣Multiple sources of information (data consistency & quality)

-heavy data cleansing - identifying duplicates -inconsistencies (error-tolerant/error-correction ETL)


Link Lifecycle

Deleted / Matching

Cease & Desist

Take- down

Time

t0+tn t1 = t0+tn t2 = t1+tn

Link Correction Link Actioned Link Removed

Infringing URL Detected

t0

Link Found

Optional eventsPrimary event


Process Flow / Dataset

Event DetectedETL

Cleansing

De-duping

SummariesDashboards

Fact table representation

Time Found Link New Unique File Unique Link Actioned Taken-down4/10/14 2:50 PM www.4shared.com/rar/-6ebvl89/Justin_Bieber_-_All_Around_The.html 1 1 0 0

4/15/14 11:44 AM www.4shared.com/mp3/-2J4lahU/Nickel_Back_-_If_Everyone_Care.htm 1 1 0 0

4/15/14 2:50 PM www.4shared.com/rar/-6ebvl89 0 1 0 0

Time

http://www.4shared.com/rar/-6ebvl89/Justin_Bieber_-_All_Around_The.html

http://www.4shared.com/mp3/-2J4lahU/Nickel_Back_-_If_Everyone_Care.htm

http://www.4shared.com/rar/-6ebvl89


Process Flow / Dataset

Fact table representation

Time Found Link New Unique File Unique Link Actioned Taken-down4/10/14 2:50 PM www.4shared.com/rar/-6ebvl89/Justin_Bieber_-_All_Around_The.html 1 1 1 1

4/15/14 11:44 AM www.4shared.com/mp3/-2J4lahU/Nickel_Back_-_If_Everyone_Care.htm 1 1 1 0

4/15/14 2:50 PM www.4shared.com/rar/-6ebvl89 0 1 1 1

4/15/14 11:01 PM www.4shared.com/mp3/-qXkFru8/Kanye_West__Jay-Z_Bingo_Player.html 1

Event Detected Summaries

Dashboards

Time

ETL upserts

http://www.4shared.com/rar/-6ebvl89/Justin_Bieber_-_All_Around_The.html

http://www.4shared.com/mp3/-2J4lahU/Nickel_Back_-_If_Everyone_Care.htm

http://www.4shared.com/rar/-6ebvl89

http://www.4shared.com/mp3/-qXkFru8/Kanye_West__Jay-Z_Bingo_Player.html


Pre-Upgrade Architecture

EDWOBIEE

Dashboards

ODSSubscriber Views Star Schema

ETL

OLTP (source)

Streams & CDC

OWB Mappings


Asynchronous Distributed HotLog Configuration

Pre-Upgrade Architecture - Streams and Oracle CDC


Pre-upgrade Challenges

•Throughput •Complex views •Recovery after VM/DB crash •Maintenance and development •Purging auditing information •Volume of redo •Oracle’s Statement of direction


Oracle GoldenGate


Oracle Data Integrator 11g

•Oracle’s strategic product for data integration •Uses ELT (Extract, Load, Transform) approach ‣No middle ETL engine necessary ‣Uses the power of the target database to perform transformations

•Supports heterogeneous data sources •Declarative design - separation of business and technical integration

•Data integrity controls create a “data firewall” •Extensible through “Knowledge Modules”


ODI 11g Journalizing (CDC)

•Oracle Data Integrator Change Data Capture (CDC) delivered via Journalizing ‣Identify, capture, and deliver changes made to source data ‣Journalizing Knowledge Module (JKM) performs setup and creates infrastructure

•ODI CDC Framework ‣Capture Process - mechanism for capturing changed data from the source database (Ex. Oracle GoldenGate) ‣Journals - tables (J$) hold references to changed records and the change type (insert / update / delete) ‣Journalizing Views - (JV$, JV$D) provides access to changed data, used by IKM / LKM in mappings ‣Subscribers - used to allow consumption of changed data at different intervals, for multiple applications, etc.


GoldenGate and ODI Integration

•JKM Oracle to Oracle Consistent (OGG) Knowledge Module ‣ODI Metadata used to generate GoldenGate parameter files (extract, pump, replicate) andconfiguration files ‣Delivered with ODI

•ODI CDC Framework generated ‣Staging table - replicate of source ‣J$ (journal) table - change rows

•Journalized data used in transformations (via JV$ views)


Migration Decisions /Upgrade Planning

•ODI Master repository location •GoldenGate considerations ‣Installation and configuration (RAC is trickier) ‣Classic vs Integrated capture (requires EE for both source & target) ‣How to use it? Product built for migration and/or replication ‣Naming conventions

•OWB mappings to ODI interfaces ‣Various migration approaches

•Control, Monitoring & Alerting (no free lunch) •Testing & Go-live approach


Migration Steps•Migrate OLTP applications to RAC ‣GoldenGate RAC target kept in-sync during application migration

•Performance tuning & ODI KM Modifications ‣Retain existing CDC framework objects when adding new tables ‣Update column mapping in replicat ‣Remove unnecessary code in Integration Knowledge Module

•Generate GoldenGate extract, pump and replicat ‣ODI Journalizing Knowledge Module ‣Source definitions file recommended

•Migrate OWB mappings to ODI interfaces ‣3Rs: re-assess, replicate and refine existing mappings

•Test the migration ‣Run both systems in parallel and compare results ‣Trends, aggregates, row counts


Micro-batch ETL


Post-Upgrade Architecture

EDWOBIEE

Dashboards

2-node RACOLTP (source)

ODSJ$ Tables Star Schema

ETL

GoldenGate Replication

ODI Interfaces(CDC)


Control, Alerting and Monitoring

•GoldenGate status and lag •ODI Agent monitoring •ETL throughput / health: ODI session tables •Enterprise Manager job scheduler to control ETL process •Monitoring dashboard !!


GoldenGate Status and Lag


ODI Agent Monitoring and Healthcheck


Monitoring Dashboard



Fact Table Load - Volume and Duration




Scheduled Job Duration




ETL currently running and duration

Scheduled Job Duration


Upgrade Results

•Reduced lag ‣From 5-15 minutes to <1 minute

•Stabilised fact mapping with equivalent load volumes ‣Pre-upgrade 2 mins - hours ‣Post-upgrade 10 - 25 seconds

•Reduced ETL downtime ‣2+ days p/m to minutes p/m

•Simpler to extend tables under CDC •Purging audit information <1 hour rather than days


Upgrade Effects

•Faster troubleshooting & diagnosis times •Shorter maintenance & development times •Focus on performance and streamlining processes •Investigation into excessive redo volumes •MDM project kick-off •Contemplation of The Reference Architecture…


Reference Architecture - Hybrid Layer

•Staging Data Layer ‣Buffers reception for right-time distribution ‣Apply business rules to make the data clean, consistent and complete ‣Retain rejected data for manual/automatic correction

•Performance Layer ‣Dimensional model - star schema ‣Permanent & non-volatile data (traditionally speaking)

•Hybrid Layer ‣Caters for deeply volatile data by persisting historic and real-time facts ‣Combines elements of staging and performance layers ‣Facilitates agile de-coupled ETL processes



Sour

ces

Staging Data LayerO

LTP

refresh interval

Tim

e

vola

tility

dep

th

ETL interval

Performance LayerHybrid LayerR

efer

ence

DW

Arc

hite

ctur

e M

ashu

p

latency

Foundation Layer

Extreme Real-time EDW

Federated OLTP+EDW

Federated EDW+rolling hot partition

Standard EDW

In-m

emor

y M

ater

ializ

ed V

iew

s O

LAP

Temporary Structures

Que

ry performance timeframe

real-time data warehouse upgrade – success stories

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