A governed data lake contains clean, relevant data from structured and unstructured sources that can easily be found, accessed, managed and protected. The platform your data resides on is security-rich and reliable. Data that comes into your data lake is properly cleaned, classified and protected in timely, controlled data feeds that populate and document it with reliable information.
IBM has an unmatched modular solution for data warehouse offloading:
Move - Extract, move and ingest massive amounts of data with a shared-nothing, parallel platform without limiting your performance.
Transform and integrate - Build a job once and run it in the enterprise data warehouse, in the extract, transform, load (ETL) grid and in Hadoop without modification, using existing developer skills and ETL assets.
Improve data quality ― Eliminate “garbage in, garbage out” analytics and reporting by implementing comprehensive, fast and scalable data quality processing.
Govern your data - Keep your data lake from becoming a data swamp by implementing comprehensive data governance, including end-to-end data lineage for all your business users.
Replication - Optimize resource use and deliver data where and when it's needed, with reduced latency and on-time updating
Augment and enrich - Prepare vast amounts of structured and unstructured data for enriched analytics, machine learning, and artificial intelligence.
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