Download the free ebook on the HDInsight Windows Azure Service. This service lets you spin up a hadoop cluster in minutes.
Download the ebook to see how you can enable Windows Azure Pack to run a private cloud for your data platform - http://gallery.technet.microsoft.com/Enabling-Database-as-a-f53ec2a0
Take a look at this great whitepaper recently published that discusses common patterns for implementing and leveraging the new In-memory OLTP capabilities of SQL Server 2014.
Download the whitepaper from: http://msdn.microsoft.com/en-us/library/dn673538.aspx
In-Memory OLTP allows users to move data into memory resident tables while keeping other data in traditional, disk-based table structures. For performance critical workloads, users can also migrate Transact-SQL code to natively compiled stored procedures. This can provide additional performance gains. This paper aims to help readers understand some of the common architectural patterns where In-Memory OLTP has provided significant benefits. The paper also discusses considerations for migrating applications to In-Memory OLTP.
On April 16, the industry standard organization for performance benchmarking, TPC (Transaction Processing Performance Council), verified that Microsoft SQL Server 2014 broke the world record for the On-Line Transaction Processing (OLTP) workload with the TPC-E and broke multiple world records for Data warehousing (DW) with the TPC-H.
Highlights:
Microsoft and HP breaks the 10TB TPC-H DW benchmark toppling Oracle on both performance (query-per-hour) and price/performance using SQL Server 2014 with in-memory columnstore
Microsoft and HP breaks the 3TB TPC-H DW benchmark toppling Oracle on both performance (query-per-hour) and price/performance using SQL Server 2014 with in-memory columnstore
Microsoft and IBM breaks the 1TB TPC-H DW benchmark on performance (query-per-hour)
Microsoft and Fujitsu breaks the previously held TPC-E OLTP world record using SQL Server 2014
In-memory OLTP performance proof points are available from IBM, LSI and Fusion-io.