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Syncsort Big Data Solutions: 5 Pitfalls to Avoid with Hadoop
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5 Pitfalls to Avoid with Hadoop

Learn how to navigate the most common obstacles on the path to Hadoop ETL!

Hadoop is a great vehicle to extract value from Big Data. However, relying only on Hadoop and common scripting tools like Pig, Hive and Sqoop to achieve a complete ETL solution can hinder success.

Syncsort has worked with early adopter Hadoop customers to identify and solve the most common pitfalls organizations face when deploying Hadoop ETL.

  1. Hadoop is not a data integration tool
  2. MapReduce programmers are hard to find
  3. Most data integration tools don't run natively within Hadoop
  4. Hadoop may cost more than you think
  5. Elephants don't thrive in isolation

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