Oracle Data Integration: Tools for Harnessing Data

AvMichelle Malcher,Bobby Curtis

Häftad, Engelska, 2015

692 kr

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Beskrivning

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Deliver continuous access to timely and accurate BI across your enterprise using the detailed information in this Oracle Press guide

Through clear explanations and practical examples, a team of Oracle experts shows how to assimilate data from disparate sources into a single, unified view. Find out how to transform data in real time, handle replication and migration, and deploy Oracle Data Integrator and Oracle GoldenGate. Oracle Data Integration: Tools for Harnessing Data offers complete coverage of the latest “big data” hardware and software solutions.

·Efficiently move data both inside and outside an Oracle environment

·Map sources to database fields using Data Merge and ETL

·Export schema through transportable tablespaces and Oracle Data Pump

·Capture and apply changes across heterogeneous systems with Oracle GoldenGate

·Seamlessly exchange information between databases using Oracle Data Integrator

·Correct errors and maximize quality through data cleansing and validation

·Plan and execute successful Oracle Database migrations and replications

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Produktinformation

Utgivningsdatum:2015-11-16
Mått:188 x 231 x 15 mm
Vikt:507 g
Format:Häftad
Språk:Engelska
Antal sidor:288
Förlag:McGraw-Hill Education
ISBN:9780071841658

Utforska kategorier

Databaser inom Data och IT

Mer om författaren

IOUG Board of Directors President and DBA Team Lead, DRW HoldingsMichelle is an Oracle ACE Director and the DBA Team Lead at DRW Holdings in Chicago, with several years experience in database development, design and administration. She has expertise in security, performance tuning, data modeling and database architecture of very large database environments. When she is not applying CPU patches or securing her own company's databases, she writes articles and gives presentations on security and compliance topics as well as other database administrative areas such as RAC, ASM and recovery. She is also a contributing author for multiple books including the IOUG Best Practices Tip Booklet. She has been very involved in the IOUG, and is currently serving as president on the Board of Directors. Bobby Curtis is an Oracle ACE, Senior Technical Consultant and member of various Oracle User Groups. He specializes in database monitoring and data integration technologies, both aimed at making usability simpler and easier. He is experienced in creating, managing and tuning enterprise databases including Exadata, GoldenGate replication and is known for his work with Oracle Enterprise Manager 12c. He is currently working as a Senior Technical Consultant focused on implementations and migrations of scalable databases while providing monitoring solutions for these environments. He is either a lead author or co-author on various technical books, published various technical articles in user group publications, and presented at conferences including Oracle Open World, Collaborate and KSCOPE. Bobby is a current member of the Independent Oracle User Group (IOUG), Oracle Development Tools User Group (ODTUG), Georgia Oracle User Group (GOUSER) and the Rocky Mountains Oracle User Group (RMOUG). He lives with his wife and three kids in Douglasville, GA. Bobby can be followed on twitter at @dbasolved and his blog at http://dbasolved.com. Chris Lawless began his career in data integration by working in support for GoldenGate. He then worked in consulting and pre-sales prior to becoming a Product Manager at GoldenGate. When GoldenGate was acquired by Oracle he became a Product Manager in the Data Integration Group at Oracle for the next four years. Prior to working at GoldenGate Chris was a DBA instructor at Oracle University. Chris is currently a Product Manager at Dbvist Software, a replication company.

Innehållsförteckning

Chapter 1. Data Integration OverviewChapter 2. Connecting DataChapter 3. Moving/Using DataChapter 4. Oracle Replication (Golden Gate)Chapter 5. Oracle Data Integrator (ODI)Chapter 6. Common IssuesChapter 7. Data CleansingChapter 8. Integrations with Big Data