Data Management 110 Success Secrets: 110 Most Asked Questions On Data Management - What You Need To Know

Price 28.78 - 33.08 USD

EAN/UPC/ISBN Code 9781488519345


There has never been a Data Management Guide like this. Data Management 110 Success Secrets is not about the ins and outs of Data Management. Instead, it answers the top 110 questions that we are asked and those we come across in our forums, consultancy and education programs. It tells you exactly how to deal with those questions, with tips that have never before been offered in print. Get the information you need--fast! This comprehensive guide offers a thorough view of key knowledge and detailed insight. This Guide introduces everything you want to know to be successful with Data Management. A quick look inside of the subjects covered: Introduction metadata repository , The Reason to Clear Metadata Entries, Do you have any great ideas about how to manage BIG data? , TOGAF Supported Enterprise Architecture Designs, SQL Server Database: Kinds of Database, Data Governance , Enterprise Data , MDM Component Layer Model , Virtualization: The Practical Benefits, Editions of Microsoft SQL Server 2005, SQL Server 2003 Compared to other SQL Server Versions, XML SQL Server: Fusion of Two Useful Concepts in Data Management and Delivery, Introducing: new and improved private cloud computing, Coggno , MCITP Microsoft SQL Server 2005 Certification, Data Dictionary , Standards Applied on Metadata Formats, Boils Down to the Data , Audit Management , A look at what BIG data will gain by integrating with the Cloud , Managing Metadata Location, Typical Architecture of Data Warehouse , Microsoft Enterprise Architect and its Unique Perspective, An Overview of SQL Server Report, The Available SQL Server Reporting Services in the Market, Why BIG data might soon play a central role in most IT careers, Telecommunications , Configuration Management ITIL, Metadata Service: Varied Yet Complete, Data Back up ITIL, BIG data might offer BIG benefits to some businesses , Is managing BIG data becoming a major career in and of itself? , Cloudera Enterprise , Are we looking at a...etc...