June 05, 2014
Getting data from enterprise data warehouses and legacy systems (including mainframes) into Hadoop is clearly a key implementation today for big data ETL jobs.
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Hadoop is becoming the popular enterprise choice for big data analytics, but getting your data there isn't so simple. Apache Sqoop is stepping in to help bring the vital data from your database to Hadoop. Continue Reading
Hadoop is a top choice for big data analytics, but keeping up with the quickly evolving framework is a struggle. However, a variety of tools can simplify cloud admins' jobs. Continue Reading
When Adobe was wrestling with loading Hadoop data into SAP HANA, it considered SAP Data Services as well as Sqoop, an open source tool built to transfer data between Hadoop and relational databases. See why Adobe went with Data Services. Continue Reading
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Moving relational data into Hadoop isn't a slam dunk. To avert programming complexities, a major Texas university turned to commercial tools to stock its Hadoop data lake. Continue Reading