Improving Your Business with Oracle Data Integration See How Oracle Enterprise Metadata Management Can Help You

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2 Improving Your Business with Oracle Data Integration See How Oracle Enterprise Metadata Management Can Help You Özgür Yiğit Oracle Data Integration, Senior Manager, ECEMEA

3 Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle.

4 Agenda Oracle Data Integration Overview Introducing Oracle Enterprise Metadata Management Oracle Enterprise Metadata Manager Drill Down Q&A and For More Information

5 Oracle Data Integration Platform Real-Time 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 Oracle GoldenGate (Movement) Data Governance Foundation Oracle Data Integrator (Transformation) ELT Processing on Hadoop or SQL Continuous Availability Enterprise Data Quality (Profile, Cleanse, Match and De-duplicate) Fast Load Data Service Integrator (Federation) GoldenGate Veridata (Online Data Verification) Enterprise Metadata Management & Business Glossary (Business Glossary, Data Lineage, Impact Analysis and Data Provenance)

6 Differentiated Technical Approach Dynamic Data Movement Real-time CDC is by default, not ETL Least invasive on sources Proven best performance Integrated Oracle capture/apply No ETL Engines Take the processing to the data; don t move the data to the process Leverage your data engines for the workloads (Hadoop or SQL) Most Heterogeneous Leverage open source Hadoop, not proprietary distributions Hadoop is the Hub, not ETL tools Open metadata standards Oracle GoldenGate (Movement) Data Governance Foundation Oracle Data Integrator (Transformation) ELT Processing on Hadoop or SQL Continuous Availability Enterprise Data Quality (Profile, Cleanse, Match and De-duplicate) Fast Load Data Service Integrator (Federation) GoldenGate Veridata (Online Data Verification) Enterprise Metadata Management & Business Glossary (Business Glossary, Data Lineage, Impact Analysis and Data Provenance)

7 Agenda Oracle Data Integration Overview Introducing Oracle Enterprise Metadata Management Oracle Enterprise Metadata Manager Drill Down Q&A and For More Information

8 Oracle Enterprise Metadata Management Trust your data Executives Dashboards / Reports???!!!!= Dashboard does not match report? Where did this data come from? Can I trust my other dashboards and reports?

9 Oracle Enterprise Metadata Management Data Lineage Impact Analysis DBA s / ETL / BI Developers Data Mgmnt. / Development Env.??!!?? What impact on does my column change have? What impact does my ETL mapping have? I want to create new assets from my metadata!!

10 Value of Enterprise Metadata Management Solves a significant pain point Which reports use this customer data? What will happen if I change this table? ETL Developer Executive Application User App GG ETL CDC ETL BI Dashboards How was sales figure calculated? What reports use the mainframe data? Sys Admin ETL Can I trust the sources of this customer data? Data Steward Hadoop Data Lake Data Scientist BI Developer I want to design an experiment to measure the success of a signup page. What data do I have? Where did this data come from?

11 Introducing Oracle Enterprise Metadata Management

12 Oracle Enterprise Metadata Management Packaged for two offerings: Oracle Enterprise Metadata Management Fully featured enterprise edition product Oracle Metadata Management for Oracle Business Intelligence Limited for use with Oracle technologies Key Features: Report to Source Lineage Impact Analysis Model Versioning Annotations and Tagging Business Glossary 3 rd Party BI Metadata Supports Metadata Standards 3 rd Party ETL Metadata 3 rd Party DB Metadata Big Data Ready

13 Impact Analysis Oracle Metadata Management Logical Architecture Actionable Information Data Discovery Analytics Data Lineage Business Glossary Semantic Linking ETL Data Quality Data Integration Replication Messaging Data Federation Data Sources Metadata Repository File Based Cloud Big Data Relational Applications

14 Detailed Feature List Exploring Metadata Text Search and Metadata Browser, Model/Diagram Visualizers, Birds-eye View, Metadata Reporting Data Flow and Lineage Analyzer Sarbanes-Oxley Act (SOX) Compliance Versioning and Model Compare URI Based Call back from BI reports or Business applications Stewardship Collaboration Feedback Comments and Review Board Metadata Tagging with Labels Multimedia attachments (documents, videos, presentation, code) URL link references for , blogging, social networking Lifecycle Change Management Metadata Harvesting from any DM, DW, ETL/DI, BI Tooling and Big Data/Hadoop Enterprise Architecture Management (Metadata Configuration Management) Impact of Change Data Standardization & Data Governance Supports Variety of Metadata Standards Annotations and Tagging Business Glossary with Semantic Lineage Oracle Integrated Oracle Database Oracle Data Integrator, Oracle GoldenGate Oracle Business Intelligence Enterprise Edition Oracle Business Intelligence Applications (ODI and older Informatica based OBIA)

15 Metadata Harvesting from all Popular Platforms

16 Agenda Oracle Data Integration Overview Introducing Oracle Enterprise Metadata Management Oracle Enterprise Metadata Manager Drill Down Q&A and For More Information

17 OEMM Home with Repository Panel and Bookmarks Deploys as a web based application with an attached metadata repository

18 Graphical Browser for Data Model Diagrams Birds-eye-view metadata viewer enables zoom-in / zoom-out around complex metadata models

19 Keyword Based Search on all Metadata Full index text search provides simple navigational access to very large metadata models

20 Versioning with Model Comparisons Easily group and compare data models from similar databases or between different versions to determine crucial differences

21 Social Collaboration for Stewardship Teams Complete team-based environment including support for reviewing the lifecycle of terms and domains

22 End-to-End Data Flow Architecture Views See how systems are connected while visualizing annotations and system boundaries

23 Reporting System Calculations Drill into formulas and calculations that are directly harvested from ETL and BI Reporting engines

24 Find Data Provenance from the Report Layers Visualize column and calculation level dependencies across systems, databases and reporting views

25 Business Glossary is Built In (not a separate add-on) Going beyond database dictionaries, link business terminology across metadata models and systems

26 Business Glossary Policies and Reference Data For code tables and value ranges, associate glossary metadata to valid data Terms, Types and Relationships

27 Questions and Answers

28 Join the Community Connect with Oracle on Social Media #OOW14 #ODI12c #GoldenGate12c #EDQ12c OR connect via the web Oracle Data Integration blog blogs.oracle.com/dataintegration Oracle Data Integration Home Page oracle.com/goto/dataintegration

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