Cantitate/Preț
Produs

Oracle Data Integration: Tools for Harnessing Data

Autor Michelle Malcher, Bobby Curtis, Chris Lawless
en Limba Engleză Paperback – 16 noi 2015

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

·       Handle high-volume transactions with Oracle Big Data Appliance, Oracle NoSQL, and third-party utilities

Citește tot Restrânge

Preț: 32632 lei

Preț vechi: 40789 lei
-20% Nou

Puncte Express: 489

Preț estimativ în valută:
6245 6589$ 5205£

Carte disponibilă

Livrare economică 12-26 decembrie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780071841658
ISBN-10: 0071841652
Pagini: 288
Dimensiuni: 188 x 231 x 15 mm
Greutate: 0.51 kg
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States

Cuprins

Chapter 1. Data Integration Overview

Chapter 2. Connecting Data

Chapter 3. Moving/Using Data

Chapter 4. Oracle Replication (Golden Gate)

Chapter 5. Oracle Data Integrator (ODI)

Chapter 6. Common Issues

Chapter 7. Data Cleansing

Chapter 8. Integrations with Big Data