Running, Managing and Operating Hadoop at Sears
Andy McNalis and Justin Sheppard
High ETL complexity and costs, data latency and redundancy, and batch window limits are just some of the IT challenges caused by traditional data warehouses. This class covers the use cases and technology that enables Sears to solve the problems of the traditional enterprise data warehouse approach. Learn how Sears significantly minimized data architecture complexity with Hadoop, resulting in a reduction of time to insight by 30-70%, and discover "quick wins" such as mainframe MIPS reduction.
You will learn:
  • What is HDFS and MapReduce
  • Traditional Database vs Hadoop
  • Logical and Physical View of Hadoop
  • Hadoop as an enterprise data hub
Level : Overview