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Copyright © 2014 Oracle and/or its affiliates. All rights reserved. 
Oracle Data Integration and Governance For Big Data 
Jeff Pollock 
Vice President, Oracle Data Integration & Governance 
Madhu Raviendran Nair 
Marketing Director, Oracle Data Integration & Governance 
Data Governance for the Big Data Reservoir
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Get Fast Answers to New Questions 
Create a Data Reservoir 
Predict More, More Accurately 
AccelerateData-Driven Action 
Big Data Reservoir Drives Big Results 
Business Drivers for Big Data Initiatives 
Oracle Big Data Governance 2
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Oracle For Big Data Reservoir 
Oracle Data Integration Provides the Architectural Components 
Oracle Big Data Governance 3 
Staging 
Detail 
Fast load 
Fast load 
Data 
Replication 
Data 
Synchronization 
Hadoop Data 
Transformation 
HiveQL–Pig/Oozie-Spark 
Sources 
Data Reservoir 
SourcesOracle Data IntegratorOracle Data Integrator 
GG to Flume 
GG to Kafka 
GG to HiveOracle GoldenGate
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
But What About Data Governance? 
Oracle Big Data Governance 4 
https://blogs.oracle.com/bigdata/entry/big_data_and_analytic_top
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
…to manage Risk/Compliance 
Records retention 
Rediscovery 
Litigation support 
Data access management 
Information security and protection 
Minimize corporate liability through proper governance of data 
…to drive Business Value 
Metadata discovery 
Metadata & glossary cataloging 
Data profiling 
Data cleansing lifecycle 
Data remediation 
Maximize opportunity by ensuring trusted data is easily available for data driven business processes 
5 
The Data Governance Opportunity with Big Data 
Oracle Big Data Governance 
Solving businessand IT data challenges
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. 
Big Data Governance Myths 
Do the same principles apply for Big Data and Traditional Data Governance? 
Oracle Big Data Governance 6 
Perception 
1.Data Governance has reduced significance in Big Data 
2.Data Reservoirs should always contain only raw data in full fidelity 
3.Big Data and Hadoop architectures are black boxes 
Reality 
1.Big Data without governance and quality is just Big Bad Data 
2.Data Reservoirs contains all data. Raw, formatted and enriched. 
3.If you use the data (you will!), you need to govern it’s lifecycle.
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Data Governance and the Data Reservoir 
Oracle Big Data Governance
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Big Data Governance 8 
The Big Data Governance Problem 
1 –How do we clean up the data lake? 
2 –How do we keep the data reservoir clean?
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Data Governance is Not Easy, there is No Silver Bullet! 
Oracle Big Data Governance 9 
Data Governance 
Metadata Management 
Business Glossary 
Data Profiling 
Data Cleansing 
Data Archiving 
Data Privacy 
PEOPLE 
PROCESS 
TECHNOLOGY 
…people and process first,…tools and capabilities next,…and, there is no magic! 
“…the overall impact of poor- quality data on the whole dataset remains the same. In addition, much of the data that organizations use in a big data context comes from outside, or is of unknown structure and origin. This means that the likelihood of data quality issues is even higher than before. So data quality is actually more important in the world of big data." 
-Ted Friedman, Gartner 
http://www.gartner.com/newsroom/id/2854917
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Oracle Data Governance for the Data Reservoir Right Now 
Oracle Big Data Governance 10 
Data Governance 
Metadata Management 
Business Glossary 
Data Profiling 
Data Cleansing 
Data Archiving 
Data Privacy 
Oracle Enterprise Metadata Management 
Oracle Enterprise Data Quality delivers a complete, best-of-breed and business friendly approach to data cleansing resulting in trustworthy data for applications and to improve business reliability. 
•Metadata Management –horizontal and semantic data lineage for all big data sources 
•Business Glossary –simple tools to catalog, link and collaborate on business terms 
Oracle Enterprise Data Quality 
Oracle Enterprise Data Quality delivers a complete, best-of-breed and business friendly approach to data cleansing resulting in trustworthy data for applications and to improve business reliability. 
•Profiling–simple to use data health check that can work with sample sets of all data 
•Cleansing–validate, match and de-duplicate data records from any business application 
Oracle Big Data SQL 
Extends Oracle SQL to Hadoop and NoSQL and the security of Oracle Database to all your data. It also includes a unique Smart Scan service that minimizes data movement and maximizes performance. 
•Data Privacy –leverage the Oracle DB security model on data that physically resides in Hadoop 
•Archiving–Seamlessly locate aged data in a queryabledata tables physically located in Hadoop
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Oracle Enterprise Metadata Management (OEMM) 
Oracle Big Data Governance 11 
•Metadata Management –horizontal and semantic data lineage for all big data sources 
•Business Glossary –simple tools to catalog, link and collaborate on business terms 
Business Data Catalog 
Report to Source Lineage 
Impact Analysis 
Audit, Versioning & Diff Reports 
Social/Collaboration Features 
Annotations and Tagging 
Comprehensive Harvesting 
3rdParty BI Metadata 
3rdParty ETL Metadata 
3rdParty DB Metadata 
3rdParty Modeling Tools 
Big Data Metadata 
Metadata Standards
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Value of Enterprise Metadata Management 
Oracle Big Data Governance 12 
ETL 
BIDashboards 
App 
ETL 
ETL 
How was sales figure calculated? 
What will happen if I change this table? 
What reports use the mainframe data? 
Sys Admin 
Executive 
BI Developer 
Where did this data come from? 
Application User 
Which reports use this customer data? 
CDC 
Data Reservoir 
Data Steward 
Can I trust the sources of this customer data? 
ETLDeveloper 
Solves significant pain points for wide variety of business consumers and technical staff 
I want to design an experiment to measure the success of a signup page. What data do I have? 
Data Scientist 
GG
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Metadata Management Use Cases 
Oracle Big Data Governance 
My dashboard does not match this report…why? 
Where did this data come from? 
Where can I find the data I need for analytics? 
Which ETL mappings or BI Reports will be affected by my column change? 
What systems does the data flow through? 
13
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Simple Screens for both Business and IT User Profiles 
Oracle Big Data Governance 14 
Comprehensive Data Lineage for IT 
Simple to Navigate All Metadata 
Business / IT Collaboration 
Search Driven Business Access
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
15 
Vertical Lineage 
Links a business friendly set of terms to the IT metadata and operational assets 
Capture Business Glossary, Taxonomy, Ontology, Conceptual Models 
Horizontal Column Level 
Links the data fields from Business Intelligence Dashboards or Reports back to the Source Columns 
Schemas, BI View Layers, ETL Transformations, Calculations, etc. 
Oracle Big Data Governance 
Vertical Lineage 
Horizontal Lineage 
“NE_SALES” 
“SALES” 
“NAME” 
“ACCT_NAME” 
“NORTH” 
“AGG_TOTAL” 
BI Fields to Source Columns 
“FNAME|LNAME” 
“Customer” 
Biz Terms to IT 
Two Crucial Styles of Metadata Management
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
ActionableEvents 
Event Engine 
Data Reservoir 
Data Factory 
Enterprise Information Store 
Reporting 
Discovery Lab 
Actionable 
Information 
ActionableInsights 
DataStreams 
Execution 
Innovation 
Discovery Output 
Events & Data 
Data Flow View –Data Factory and Metadata Management 
StructuredEnterprise 
Data 
Other 
Data 
Oracle Big Data Governance 16 
Metadata Management and Business Glossary
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Comprehensive Data Integration & Governance Capabilities 
Oracle Big Data Governance 17 
Dynamic Data Movement 
–Low impact capture, stage in Hadoop 
–Continuous data availability 
Data Transformation 
–Bulk data movement 
–Pushdown data processing 
Data Federation 
–Virtualized Data Services 
Data Quality & Verification 
–Fix quality at the source 
–Verify data consistency 
Metadata Management 
–Lineage and Impact Analysis 
–Business Glossary Semantics 
Data GovernanceFoundationOracle Data Integrator(Transformation) Enterprise Data Quality(Profile, Cleanse, Match and De-duplicate) 
FastLoadOracle GoldenGate(Movement) Enterprise Metadata Management & Business Glossary(Business Glossary, Data Lineage, Impact Analysis and Data Provenance) Data Service Integrator(Federation) GoldenGateVeridata(Online Data Verification) 
ELT Processingon Hadoop or SQL 
Continuous Availability
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Oracle Enterprise Data Quality 
Oracle Big Data Governance 18 
•Profiling–simple to use data health check that can work with sample sets of all data 
•Cleansing–validate, match and de-duplicate data records from any business application 
Profile 
Standardize 
Match 
Govern 
Unified Workbench 
Market-leading businessusability for all types of data 
Unparalleled time-to-value, rapid deployments 
High performance engine operates in real-time or batch 
Out-of-the-box global knowledge- base for world-wide coverage 
Foundation for comprehensivedata governance program
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Big Data Governance Lifecycle Tools 
Oracle Big Data Governance 19 
Operational Data Flows 
Business Sources 
Quality KPIs 
Case Management 
Governance Cockpit for Data Stewards & Stakeholders 
Exception Review 
Metadata Management 
Business Glossary 
Design Time
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Enterprise-Wide Governance Board 
Top US Payroll ProviderOracle Enterprise Data Quality for Governance on 100m records per month 
20
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Privacy and Deep Data Access with Oracle Big Data SQL 
Oracle Big Data Governance 21 
SELECT w.sess_id, c.name 
FROM web_logs w, customers c 
WHERE w.source_country = ‘Brazil’ 
AND w.cust_id = c.customer_id; 
Relevant SQL runs on BDA nodes 
10’s of Gigabytes of Data 
Only columns and rows needed to 
answer query are returned 
Hadoop Cluster 
B B B 
Big Data SQL 
Oracle Database 
WEB_LOGS CUSTOMERS 
• Data Privacy – leverage the Oracle DB security model 
on data that physically resides in Hadoop 
• Archiving – Seamlessly locate aged data in a queryable 
data tables physically located in Hadoop
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Oracle Does Big Data Integration & Governance Better 
22 
Dynamic Data Movement 
NoETLEngine 
Most Heterogeneous 
vs. 
Batch Data Movement & Weak CDC Tools 
ETL Engine H/W Alongside Hadoop 
Proprietary Vendor Lock- in, Incomplete Metadata 
vs. 
vs. 
Oracle Big Data Governance 
Oracle Data Integration Governance vs. “Other Guys” 
BusinessFriendly 
Governance Tools 
Wide & Current3rdParty Support 
Comprehensive Platform 
vs. 
Mix and Match of 6+ Legacy Tools 
Inflexible Metadata Models & Frameworks 
Incomplete Governance Features 
vs. 
vs. 
Data Governance 
Metadata Management 
Business Glossary 
Data Profiling 
Data Cleansing 
Data Archiving 
Data Privacy
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Most Heterogeneous, Deep 3rdParty Support 
Oracle Big Data Governance 23 
Hadoop HBase 
Hadoop Hive/Flume 
HP Enscribe 
HP NonStop 
HP Neoview 
Hypersonic SQL 
IBM DB2 iSeries 
IBM DB2 UDB 
IBM DB2 z Series 
IBM Informix 
IBM Netezza 
JMS / MQ 
Microsoft Access 
Microsoft SQLServer 
MySQL 
Pivotal Greenplum 
PostgreSQL 
Salesforce.com 
SAP BW / BI 
SAP ERP / ECC 
SAS 
SQL/MP 
SQL/MX 
Sybase ASE 
Sybase IQ 
Teradata 
Adaptive 
Altova 
Apache Hcatalog 
Apache Hive/HQL 
Borland 
CA ERwin 
ClouderaImpala 
COBOL Copybook 
DataStax 
Embarcadero 
EMC ProActivity 
GentleWare 
Google BigQuery 
Grandite 
HadaptHive 
HortonworksHive 
IBM Cognos 
IBM DB2 
IBM DataStage 
IBM Discovery 
IBM Federation Server 
IBM Lotus Notes 
IBM Netezza 
IBM Rational Rose 
IBM Rational Architect 
InformaticaMetadata Mgr. 
InformaticaPowerCenter 
CoSORT 
ISO SQL Standard (DDL) 
MapRHadoop Hive 
MicroFocus 
Microsoft Access 
Microsoft Office Excel 
Microsoft Visio 
Microsoft SQL Server 
Microsoft SSIS 
Microsoft Visual Studio 
Microstrategy 
Magic Draw 
OMG CWM Standard 
OMG UML Standard 
Oracle BI Answers 
Oracle BI Enterprise Edition 
Oracle BI Server 
Oracle DAC 
Oracle Data Integrator 
Oracle Data Modeler 
Oracle Database 
Oracle Designer 
Oracle Hyperion Applications 
Oracle Hyperion Essbase 
Oracle Warehouse Builder 
Pivotal Greenplum 
PostgreSQL 
QlikView 
SAP BO Crystal Reports 
SAP BO Designer 
SAP BO Desktop Intelligence 
SAP BO Repository 
SAP BO Data Integrator 
SAP BO Data Steward 
SAP Master Data Management 
SAP Sybase PowerDesigner 
SAP Sybase ASE Database 
SAS Data Integration Studio 
SAS BI Server 
SAS Information Map 
SAS Metadata Management 
SAS OLAP Server 
Select 
SparxArchitect 
Syncsort 
Tableau 
Talend 
Teradata 
Tigris 
Visible 
W3C DTD & XSD Schema 
Operational Integration (Movement / Transformation) 
Metadata Harvesting (Glossary, Lineage & Impact Analysis) 
Oracle Database 
Oracle Exadata 
Oracle Big Data Appliance 
Oracle TimesTen 
Oracle OLAP 
Oracle Business Intelligence 
Oracle BI Applications 
Oracle E-Business Suite 
Oracle JD Edwards Enterprise One 
Oracle JD EdwardsWorld 
Oracle Fusion Applications 
Oracle Governance Risk and Compliance 
Oracle Fusion AIA 
OracleRetail Applications 
Oracle Agile BI/ DW 
OracleAgile PLM for Process 
OracleiFlexFlexCUBE 
Oracle iFlexMantas 
Oracle HyperionApplications 
Oracle PeopleSoft 
Oracle Siebel CRM / OnDemand 
Oracle Communications 
Oracle WebLogic Server 
Oracle Coherence Data Grid 
Oracle SOA Suite 
Oracle Enterprise Service Bus 
+ open APIs and standards based meta-model
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
…to manage Risk/Compliance 
Records retention 
Rediscovery 
Litigation support 
Data access management 
Information security and protection 
Minimize corporate liability through proper governance of data 
…to drive Business Value 
Metadata discovery 
Metadata & glossary cataloging 
Data profiling 
Data cleansing lifecycle 
Data remediation 
Maximize opportunity by ensuring trusted data is easily available for data driven business processes 
24 
The Data Governance Opportunity with Big Data 
Oracle Big Data Governance 
Solving businessand IT data challenges
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 
Oracle Simplifies Big Data Integration & Governance 
Comprehensive Big Data Integration and Data Governance Platform 
Appliance w/Hadoop Cluster 
Analytic Tools 
DI Tools and Connectors 
Heterogeneous & Best of Breed 
Differentiated and powerful DI capabilities for Teradata, Netezza, Microsoft, DB2, Sybase.. 
Faster Time to Value 
Flexible configurations 
OOTB performance with DI 
Unified Mgmt -EM Plug-ins for Appliance and DI Tools 
Single Support Contact – Hardware/Software/Networking and ASR 
Oracle Big Data Governance 25
Copyright © 2014,Oracle and/or its affiliates. All rights reserved. | 
Join the Community 
#ODI12c #GoldenGate12c #OEDQ #OEMM 
Connect with Oracle on Social Media 
OR connect via the web 
Oracle Data Integration blogblogs.oracle.com/dataintegration 
Oracle Data Integration Home Pageoracle.com/goto/dataintegration 
Oracle Big Data Governance 26
Oracle Big Data Governance Webcast Charts
Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Big Data Governance 28

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Oracle Big Data Governance Webcast Charts

  • 1. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. Oracle Data Integration and Governance For Big Data Jeff Pollock Vice President, Oracle Data Integration & Governance Madhu Raviendran Nair Marketing Director, Oracle Data Integration & Governance Data Governance for the Big Data Reservoir
  • 2. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Get Fast Answers to New Questions Create a Data Reservoir Predict More, More Accurately AccelerateData-Driven Action Big Data Reservoir Drives Big Results Business Drivers for Big Data Initiatives Oracle Big Data Governance 2
  • 3. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle For Big Data Reservoir Oracle Data Integration Provides the Architectural Components Oracle Big Data Governance 3 Staging Detail Fast load Fast load Data Replication Data Synchronization Hadoop Data Transformation HiveQL–Pig/Oozie-Spark Sources Data Reservoir SourcesOracle Data IntegratorOracle Data Integrator GG to Flume GG to Kafka GG to HiveOracle GoldenGate
  • 4. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | But What About Data Governance? Oracle Big Data Governance 4 https://blogs.oracle.com/bigdata/entry/big_data_and_analytic_top
  • 5. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | …to manage Risk/Compliance Records retention Rediscovery Litigation support Data access management Information security and protection Minimize corporate liability through proper governance of data …to drive Business Value Metadata discovery Metadata & glossary cataloging Data profiling Data cleansing lifecycle Data remediation Maximize opportunity by ensuring trusted data is easily available for data driven business processes 5 The Data Governance Opportunity with Big Data Oracle Big Data Governance Solving businessand IT data challenges
  • 6. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. Big Data Governance Myths Do the same principles apply for Big Data and Traditional Data Governance? Oracle Big Data Governance 6 Perception 1.Data Governance has reduced significance in Big Data 2.Data Reservoirs should always contain only raw data in full fidelity 3.Big Data and Hadoop architectures are black boxes Reality 1.Big Data without governance and quality is just Big Bad Data 2.Data Reservoirs contains all data. Raw, formatted and enriched. 3.If you use the data (you will!), you need to govern it’s lifecycle.
  • 7. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Data Governance and the Data Reservoir Oracle Big Data Governance
  • 8. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Big Data Governance 8 The Big Data Governance Problem 1 –How do we clean up the data lake? 2 –How do we keep the data reservoir clean?
  • 9. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Data Governance is Not Easy, there is No Silver Bullet! Oracle Big Data Governance 9 Data Governance Metadata Management Business Glossary Data Profiling Data Cleansing Data Archiving Data Privacy PEOPLE PROCESS TECHNOLOGY …people and process first,…tools and capabilities next,…and, there is no magic! “…the overall impact of poor- quality data on the whole dataset remains the same. In addition, much of the data that organizations use in a big data context comes from outside, or is of unknown structure and origin. This means that the likelihood of data quality issues is even higher than before. So data quality is actually more important in the world of big data." -Ted Friedman, Gartner http://www.gartner.com/newsroom/id/2854917
  • 10. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Data Governance for the Data Reservoir Right Now Oracle Big Data Governance 10 Data Governance Metadata Management Business Glossary Data Profiling Data Cleansing Data Archiving Data Privacy Oracle Enterprise Metadata Management Oracle Enterprise Data Quality delivers a complete, best-of-breed and business friendly approach to data cleansing resulting in trustworthy data for applications and to improve business reliability. •Metadata Management –horizontal and semantic data lineage for all big data sources •Business Glossary –simple tools to catalog, link and collaborate on business terms Oracle Enterprise Data Quality Oracle Enterprise Data Quality delivers a complete, best-of-breed and business friendly approach to data cleansing resulting in trustworthy data for applications and to improve business reliability. •Profiling–simple to use data health check that can work with sample sets of all data •Cleansing–validate, match and de-duplicate data records from any business application Oracle Big Data SQL Extends Oracle SQL to Hadoop and NoSQL and the security of Oracle Database to all your data. It also includes a unique Smart Scan service that minimizes data movement and maximizes performance. •Data Privacy –leverage the Oracle DB security model on data that physically resides in Hadoop •Archiving–Seamlessly locate aged data in a queryabledata tables physically located in Hadoop
  • 11. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Enterprise Metadata Management (OEMM) Oracle Big Data Governance 11 •Metadata Management –horizontal and semantic data lineage for all big data sources •Business Glossary –simple tools to catalog, link and collaborate on business terms Business Data Catalog Report to Source Lineage Impact Analysis Audit, Versioning & Diff Reports Social/Collaboration Features Annotations and Tagging Comprehensive Harvesting 3rdParty BI Metadata 3rdParty ETL Metadata 3rdParty DB Metadata 3rdParty Modeling Tools Big Data Metadata Metadata Standards
  • 12. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Value of Enterprise Metadata Management Oracle Big Data Governance 12 ETL BIDashboards App ETL ETL How was sales figure calculated? What will happen if I change this table? What reports use the mainframe data? Sys Admin Executive BI Developer Where did this data come from? Application User Which reports use this customer data? CDC Data Reservoir Data Steward Can I trust the sources of this customer data? ETLDeveloper Solves significant pain points for wide variety of business consumers and technical staff I want to design an experiment to measure the success of a signup page. What data do I have? Data Scientist GG
  • 13. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Metadata Management Use Cases Oracle Big Data Governance My dashboard does not match this report…why? Where did this data come from? Where can I find the data I need for analytics? Which ETL mappings or BI Reports will be affected by my column change? What systems does the data flow through? 13
  • 14. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Simple Screens for both Business and IT User Profiles Oracle Big Data Governance 14 Comprehensive Data Lineage for IT Simple to Navigate All Metadata Business / IT Collaboration Search Driven Business Access
  • 15. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 15 Vertical Lineage Links a business friendly set of terms to the IT metadata and operational assets Capture Business Glossary, Taxonomy, Ontology, Conceptual Models Horizontal Column Level Links the data fields from Business Intelligence Dashboards or Reports back to the Source Columns Schemas, BI View Layers, ETL Transformations, Calculations, etc. Oracle Big Data Governance Vertical Lineage Horizontal Lineage “NE_SALES” “SALES” “NAME” “ACCT_NAME” “NORTH” “AGG_TOTAL” BI Fields to Source Columns “FNAME|LNAME” “Customer” Biz Terms to IT Two Crucial Styles of Metadata Management
  • 16. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | ActionableEvents Event Engine Data Reservoir Data Factory Enterprise Information Store Reporting Discovery Lab Actionable Information ActionableInsights DataStreams Execution Innovation Discovery Output Events & Data Data Flow View –Data Factory and Metadata Management StructuredEnterprise Data Other Data Oracle Big Data Governance 16 Metadata Management and Business Glossary
  • 17. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Comprehensive Data Integration & Governance Capabilities Oracle Big Data Governance 17 Dynamic Data Movement –Low impact capture, stage in Hadoop –Continuous data availability Data Transformation –Bulk data movement –Pushdown data processing Data Federation –Virtualized Data Services Data Quality & Verification –Fix quality at the source –Verify data consistency Metadata Management –Lineage and Impact Analysis –Business Glossary Semantics Data GovernanceFoundationOracle Data Integrator(Transformation) Enterprise Data Quality(Profile, Cleanse, Match and De-duplicate) FastLoadOracle GoldenGate(Movement) Enterprise Metadata Management & Business Glossary(Business Glossary, Data Lineage, Impact Analysis and Data Provenance) Data Service Integrator(Federation) GoldenGateVeridata(Online Data Verification) ELT Processingon Hadoop or SQL Continuous Availability
  • 18. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Enterprise Data Quality Oracle Big Data Governance 18 •Profiling–simple to use data health check that can work with sample sets of all data •Cleansing–validate, match and de-duplicate data records from any business application Profile Standardize Match Govern Unified Workbench Market-leading businessusability for all types of data Unparalleled time-to-value, rapid deployments High performance engine operates in real-time or batch Out-of-the-box global knowledge- base for world-wide coverage Foundation for comprehensivedata governance program
  • 19. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Big Data Governance Lifecycle Tools Oracle Big Data Governance 19 Operational Data Flows Business Sources Quality KPIs Case Management Governance Cockpit for Data Stewards & Stakeholders Exception Review Metadata Management Business Glossary Design Time
  • 20. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Enterprise-Wide Governance Board Top US Payroll ProviderOracle Enterprise Data Quality for Governance on 100m records per month 20
  • 21. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Privacy and Deep Data Access with Oracle Big Data SQL Oracle Big Data Governance 21 SELECT w.sess_id, c.name FROM web_logs w, customers c WHERE w.source_country = ‘Brazil’ AND w.cust_id = c.customer_id; Relevant SQL runs on BDA nodes 10’s of Gigabytes of Data Only columns and rows needed to answer query are returned Hadoop Cluster B B B Big Data SQL Oracle Database WEB_LOGS CUSTOMERS • Data Privacy – leverage the Oracle DB security model on data that physically resides in Hadoop • Archiving – Seamlessly locate aged data in a queryable data tables physically located in Hadoop
  • 22. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Does Big Data Integration & Governance Better 22 Dynamic Data Movement NoETLEngine Most Heterogeneous vs. Batch Data Movement & Weak CDC Tools ETL Engine H/W Alongside Hadoop Proprietary Vendor Lock- in, Incomplete Metadata vs. vs. Oracle Big Data Governance Oracle Data Integration Governance vs. “Other Guys” BusinessFriendly Governance Tools Wide & Current3rdParty Support Comprehensive Platform vs. Mix and Match of 6+ Legacy Tools Inflexible Metadata Models & Frameworks Incomplete Governance Features vs. vs. Data Governance Metadata Management Business Glossary Data Profiling Data Cleansing Data Archiving Data Privacy
  • 23. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Most Heterogeneous, Deep 3rdParty Support Oracle Big Data Governance 23 Hadoop HBase Hadoop Hive/Flume HP Enscribe HP NonStop HP Neoview Hypersonic SQL IBM DB2 iSeries IBM DB2 UDB IBM DB2 z Series IBM Informix IBM Netezza JMS / MQ Microsoft Access Microsoft SQLServer MySQL Pivotal Greenplum PostgreSQL Salesforce.com SAP BW / BI SAP ERP / ECC SAS SQL/MP SQL/MX Sybase ASE Sybase IQ Teradata Adaptive Altova Apache Hcatalog Apache Hive/HQL Borland CA ERwin ClouderaImpala COBOL Copybook DataStax Embarcadero EMC ProActivity GentleWare Google BigQuery Grandite HadaptHive HortonworksHive IBM Cognos IBM DB2 IBM DataStage IBM Discovery IBM Federation Server IBM Lotus Notes IBM Netezza IBM Rational Rose IBM Rational Architect InformaticaMetadata Mgr. InformaticaPowerCenter CoSORT ISO SQL Standard (DDL) MapRHadoop Hive MicroFocus Microsoft Access Microsoft Office Excel Microsoft Visio Microsoft SQL Server Microsoft SSIS Microsoft Visual Studio Microstrategy Magic Draw OMG CWM Standard OMG UML Standard Oracle BI Answers Oracle BI Enterprise Edition Oracle BI Server Oracle DAC Oracle Data Integrator Oracle Data Modeler Oracle Database Oracle Designer Oracle Hyperion Applications Oracle Hyperion Essbase Oracle Warehouse Builder Pivotal Greenplum PostgreSQL QlikView SAP BO Crystal Reports SAP BO Designer SAP BO Desktop Intelligence SAP BO Repository SAP BO Data Integrator SAP BO Data Steward SAP Master Data Management SAP Sybase PowerDesigner SAP Sybase ASE Database SAS Data Integration Studio SAS BI Server SAS Information Map SAS Metadata Management SAS OLAP Server Select SparxArchitect Syncsort Tableau Talend Teradata Tigris Visible W3C DTD & XSD Schema Operational Integration (Movement / Transformation) Metadata Harvesting (Glossary, Lineage & Impact Analysis) Oracle Database Oracle Exadata Oracle Big Data Appliance Oracle TimesTen Oracle OLAP Oracle Business Intelligence Oracle BI Applications Oracle E-Business Suite Oracle JD Edwards Enterprise One Oracle JD EdwardsWorld Oracle Fusion Applications Oracle Governance Risk and Compliance Oracle Fusion AIA OracleRetail Applications Oracle Agile BI/ DW OracleAgile PLM for Process OracleiFlexFlexCUBE Oracle iFlexMantas Oracle HyperionApplications Oracle PeopleSoft Oracle Siebel CRM / OnDemand Oracle Communications Oracle WebLogic Server Oracle Coherence Data Grid Oracle SOA Suite Oracle Enterprise Service Bus + open APIs and standards based meta-model
  • 24. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | …to manage Risk/Compliance Records retention Rediscovery Litigation support Data access management Information security and protection Minimize corporate liability through proper governance of data …to drive Business Value Metadata discovery Metadata & glossary cataloging Data profiling Data cleansing lifecycle Data remediation Maximize opportunity by ensuring trusted data is easily available for data driven business processes 24 The Data Governance Opportunity with Big Data Oracle Big Data Governance Solving businessand IT data challenges
  • 25. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Simplifies Big Data Integration & Governance Comprehensive Big Data Integration and Data Governance Platform Appliance w/Hadoop Cluster Analytic Tools DI Tools and Connectors Heterogeneous & Best of Breed Differentiated and powerful DI capabilities for Teradata, Netezza, Microsoft, DB2, Sybase.. Faster Time to Value Flexible configurations OOTB performance with DI Unified Mgmt -EM Plug-ins for Appliance and DI Tools Single Support Contact – Hardware/Software/Networking and ASR Oracle Big Data Governance 25
  • 26. Copyright © 2014,Oracle and/or its affiliates. All rights reserved. | Join the Community #ODI12c #GoldenGate12c #OEDQ #OEMM Connect with Oracle on Social Media OR connect via the web Oracle Data Integration blogblogs.oracle.com/dataintegration Oracle Data Integration Home Pageoracle.com/goto/dataintegration Oracle Big Data Governance 26
  • 28. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Big Data Governance 28