Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Edw and hadoop

A Hebrew Brief about Hadoop and what it is all about

  • Login to see the comments

  • Be the first to like this

Edw and hadoop

  1. 1. EDW and HadoopWhere do WE Go from Here ?
  2. 2. • Hadoop –Enterprise DW– BI –
  3. 3. HADOOPCLUSTER Open Source - FAULT TOLERANT - - REPLICATION - MPP
  4. 4. HADOOP HADOOP •TERABYTE PETABYTE • -NODE
  5. 5. Hadoop Hadoop Distributed File System HDFS • Column Oriented HBASE • DW HIVE • Structured SQL UNSTRUCTED PIG • 4GLHADOOP Zookeeper • DICTIONARY
  6. 6. HADOOP COMMON COMPONENETS
  7. 7. HADOOP •– More than one-half (54%) of organizations surveyed are using or considering Hadoop for large-scale data processing needs– More than twice as many Hadoop users report being able to create new products and services and enjoy costs savings beyond those using other platforms; over 82% benefit from faster analyses and better utilization of computing resources– 87% of Hadoop users are performing or planning new types of analyses with large scale data– 94% of Hadoop users perform analytics on large volumes of data not possible before; 88% analyze data in greater detail; while 82% can now retain more of their data– Organizations use Hadoop in particular to work with unstructured data such as logs and event data (63%)– More than two-thirds of Hadoop users perform advanced analysis — data mining or algorithm development and testing
  8. 8. • “The bottom line is that Hadoop is the future of the cloud EDW, and its footprint in companies’ core EDW architectures is likely to keep growing throughout this decade. “ James Kobelius, Forrester Research• Companies will continue to use conventional BI for mainstream business users to do ad hoc queries and reports, but they will supplement that effort with a big- data analytics environment optimized to handle a torrent of unstructured data – which, of course, has been part of the goal of enterprise data warehousing for a long time.
  9. 9. HADOOP • • SQL • • • • • •
  10. 10. BIG DATA HADOOP BIGDATA • • •

×