Ainda precisamos de um Data Warehouse

Recommendations

Info

You Still Need Best Practices For … • Source system identification. • Determining to instantiate data. • Optimization by end-user class. • Optimization for data processes. • Requirements for static reporting and "canned" analytics. • Information life cycle. • Security management. • Data governance & quality. • Data preparation. Moving data to a central location or giving a central point of access to many data locations is the new warehouse. Moving data to a central location with less transformation actually puts that job on the user. 7 © 2015 Gartner, Inc. and/or its affiliates. All rights reserved.
Funding the Need Somewhere Else Doesn't Mean It's Not a Warehouse • Appliances are platforms. • Cloud? IaaS! PaaS! DBaaS! • Models are customized. • Source system access differs. • Software and servers are "pieces." • Distributing cost among many in "self-service" doesn't make it disappear. You need a different warehouse that includes the old warehouse — but, you still cannot just "buy" an LDW. 8 © 2015 Gartner, Inc. and/or its affiliates. All rights reserved.
Page 1 and 2: Gartner Business Intelligence & Inf
Page 3 and 4: Key Issues 1. What aspects of a dat
Page 5 and 6: What Is a Data Warehouse? • Archi
Page 7: You Still Need All of the Analytics
Page 11 and 12: % of volume contribution "New" Big
Page 13 and 14: Use-Case Access Semantics Tradition
Page 15 and 16: Use-Case Access Semantics Semantics
Page 17 and 18: Integration Semantic Interface Arch
Page 19 and 20: Option No. 1: BI Platform as Semant
Page 21 and 22: Option No. 3: Virtualization as Sem
Page 23: Recommended Gartner Research Foc

Ainda precisamos de um Data Warehouse

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?