Big Data Solution Overview:
While announcing the death of data warehousing and relational databases makes for attention-grabbing headlines, reality is more complex. Big data is actually a superset of the information and processes that have characterized data warehousing since its inception, with big data focusing on large-scale and often short-term analysis. With the advent of big data, data warehousing itself can return to its roots — the creation of consistency and trust in enterprise information. In truth, there exists a substantial overlap between the two areas; the precepts and methods of both are highly complementary and the two will be mandatory for all forward-looking businesses.
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Oracle Big Data Warehouse Solution:
Organizations seeking solutions to the increasing demands for performance and scalability in their data architecture are turning in growing numbers to appliances, including the Oracle Exadata Database Machine, IBM's Netezza and EMC's Greenplum Data Computing Appliance. Early Oracle Exadata users report positive results, but work is still required by customers to achieve the advertised improvements.
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Microsoft Big Data Warehouse Solution:
Microsoft’s end-to-end roadmap for Big Data embraces Apache Hadoop™ by distributing enterprise class Hadoop based solutions on both Windows Server and Windows Azure. The roadmap includes Microsoft BI tools such as SQL Server Analysis Services, Reporting Services and even PowerPivot and Excel. This enables you to do BI on all your data, including those in Hadoop.
Click here to download Microsoft Big Data Enterprise Data Warehouse Survay study, PDF file
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