fileSQL-Big-Data-Convergence-cZf5

SQL Big Data Convergence The Big Picture
  • WMV04.Vendors and Their Approaches02.Apache Hive Demo.wmv19.68MB
  • WMV04.Vendors and Their Approaches04.Cloudera Impala Demo.wmv12.90MB
  • WMV04.Vendors and Their Approaches05.Hadapt, RainStor and Teradata.wmv10.24MB
  • WMV04.Vendors and Their Approaches06.ParAccel, Microsoft and Apache Sqoop.wmv10.09MB
  • WMV02.Concepts and Background04.What are Data Warehousing and MPP.wmv9.66MB
  • WMV02.Concepts and Background03.What is pReduce.wmv8.18MB
  • WMV02.Concepts and Background01.What are Big Data and Hadoop.wmv7.58MB
  • WMV03.Convergence-Hybridization of Hadoop and MPP02.Facets of Convergence.wmv7.06MB
  • WMV06.Strategy Purity vs. Pragti.wmv6.15MB
  • WMV06.Strategy - What Should You Do02.The Waiting Game.wmv5.23MB
  • WMV03.Convergence-Hybridization pReduce vs. MPP.wmv4.47MB
  • WMV01.Introductio.Introduction.wmv3.72MB
  • WMV05.Benefits Customer Benefits.wmv3.71MB
  • WMV04.Vendors Apache Hive.wmv3.65MB
  • WMV04.Vendors and Their Approaches03.Cloudera Impala.wmv3.40MB
  • WMV05.Benefits to You02.Convergence and Big Data Initiatives.wmv3.31MB
  • WMV02.Concepts and Background02.What is Hive.wmv2.78MB
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