Data Warehouse 229 Success Secrets - 229 Most Asked Questions On Data Warehouse - What You Need To Know
Nonfiction, Reference & Language, Reference, Business & Finance
| Author: | Susan Montoya | ISBN: | 9781488538834 |
| Publisher: | Emereo Publishing | Publication: | March 21, 2014 |
| Imprint: | Emereo Publishing | Language: | English |
| Author: | Susan Montoya |
| ISBN: | 9781488538834 |
| Publisher: | Emereo Publishing |
| Publication: | March 21, 2014 |
| Imprint: | Emereo Publishing |
| Language: | English |
It contains 229 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Data Warehouse.
A quick look inside of some of the subjects covered: PowerDesigner - Features, Apache Hadoop Amazon Elastic MapReduce, Aggregate (Data Warehouse) - Problems/challenges, Database design - Normalization, MicroStrategy - Products, Data mining, Data Intensive Computing - Hadoop, SAP AG, Column oriented database - Compression, Decision support systems - History, IBM Informix, Netezza - Introduction, Ralph Kimball, Customer loyalty - Data collection, Decision support systems - Taxonomies, DBMS - Other, OLAP cube - Terminology, E-discovery - Databases and other structured data, Oracle Big Data Appliance - How it Works, Extract, transform, load - Dealing with keys, PostgreSQL - Proprietary derivatives and support, Data mining Spatial data mining, Apache Hive, IBM Information Management System - Application, Teradata - Active enterprise data warehouse, Database management system - Other, Object-Role Modeling, Fact (data warehouse) - Facts, View (database) - Advanced view features, Frank Buytendijk, Business intelligence Business intelligence and data warehousing, Data profiling - Introduction, Knowledge extraction - Input data, Join (SQL) - Join Indexes, Database storage structures - Data orientation, Transaction data - Data Warehousing, IBM DB2 - Editions, Legacy system, Oracle Exadata, Intelligent text analysis - Commercial, Column oriented database - Benefits, and much more...
It contains 229 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Data Warehouse.
A quick look inside of some of the subjects covered: PowerDesigner - Features, Apache Hadoop Amazon Elastic MapReduce, Aggregate (Data Warehouse) - Problems/challenges, Database design - Normalization, MicroStrategy - Products, Data mining, Data Intensive Computing - Hadoop, SAP AG, Column oriented database - Compression, Decision support systems - History, IBM Informix, Netezza - Introduction, Ralph Kimball, Customer loyalty - Data collection, Decision support systems - Taxonomies, DBMS - Other, OLAP cube - Terminology, E-discovery - Databases and other structured data, Oracle Big Data Appliance - How it Works, Extract, transform, load - Dealing with keys, PostgreSQL - Proprietary derivatives and support, Data mining Spatial data mining, Apache Hive, IBM Information Management System - Application, Teradata - Active enterprise data warehouse, Database management system - Other, Object-Role Modeling, Fact (data warehouse) - Facts, View (database) - Advanced view features, Frank Buytendijk, Business intelligence Business intelligence and data warehousing, Data profiling - Introduction, Knowledge extraction - Input data, Join (SQL) - Join Indexes, Database storage structures - Data orientation, Transaction data - Data Warehousing, IBM DB2 - Editions, Legacy system, Oracle Exadata, Intelligent text analysis - Commercial, Column oriented database - Benefits, and much more...
