Using Hadoop as the central repository for all kinds of data, organizations can accelerate time to insight and reduce the overall costs of collecting, processing, and distributing data. Hadoop, however, isn’t an “out of the box” ETL tool—and if you’re not careful in your approach, you could jeopardize the productivity gains and cost savings you set out to achieve.
Use this easy-to-follow checklist to overcome the main challenges of using Hadoop as your main ETL tool, so you can enjoy the benefits of offloading data and ELT workloads from your data warehouse to Hadoop.
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