EZINE:
In this issue, take a closer look at the risks and pitfalls on the journey to becoming a manages services provider, read about expected ongoing change and consolidation in the year ahead, and discover what experts have to say on the skills and supply chain shortages
EGUIDE:
Oracle’s latest business intelligence (BI) software upgrade adds prebuilt integration with Oracle’s own TimesTen in-memory database, its OLAP platform and competing products from Microsoft and SAP. In this tip guide, readers will learn the latest on Oracle’s BI update and how it compares with other vendor solutions.
EGUIDE:
This e-guide focuses on how to develop a foundation, including a discussion of when to update older technologies or modify a current data warehouse architecture to match today's new requirements.
WHITE PAPER:
Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
VIDEO:
This video tells how Carnival Cruise Lines reduced their datacenter footprint, achieving more efficient IT infrastructure and EqualLogic, PowerEdge servers and VMware, and discusses Carnival's deployment of Oracle data warehouse on EqualLogic PS6010 arrays.
EGUIDE:
Despite its idiosyncrasies and lack of user-friendliness, the Apache Hadoop framework offers real advantages for organizations tackling big data challenges and real-time analytics. Access this e-guide for answers to FAQs for BI professionals seeking to leverage the benefits of this niche technology as part of their big data analytics initiatives.
PODCAST:
In this podcast, learn how Apache Hive is impacting the Hadoop community. Discover Hive's components and capabilities, whether Hive is a viable substitute for the existing warehouse infrastructure, the limitations of this tool, and more.
WHITE PAPER:
Often times Business Intelligence (BI) projects miss the mark with their business users because the proper documenting of required data and related business rules is not executed. This paper looks at fast-tracking data warehousing and BI projects using data modeling.