Today’s business world is demanding more from the data warehouse, because more than ever an organisation’s
survival depends on its ability to transform data into actionable
However, ELT data integration workloads are now consuming up to 80% of database capacity, resulting in:
Syncsort's Data Warehouse Offload solution makes it easy to turn Hadoop into an ideal staging area for all your data – from structured to unstructured – a massively scalable location where you collect, prepare, blend, transform data – and then distribute it to the rest of the organisation.
By effectively offloading data and ELT workloads from the data warehouse into Hadoop or Apache Spark, you can:
Looking for some expert advice to help get you started with offloading your Enterprise Data Warehouse to Hadoop?
Use this easy-to-follow checklist covering the three biggest challenges of using Hadoop as your main ETL tool – learn how you too can free up data warehouse capacity and avoid costly upgrades.
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