Businesses depend on data more heavily today than ever before. They need data for fact-based decision making (both operational and strategic) as well as to run the business. Many want to deepen their commitment to data-driven processes by competing on analytics and by designing new products and services. Technical teams are under pressure to capture new data and develop its business value.
Forward-looking businesses need discovery-oriented analytics, but discovery analytics tends to work best with large volumes of raw source data. The data lake enables analytics with big data and other diverse sources.
This TDWI Checklist Report discusses many of the emerging best practices for data lakes, including technical data management issues and practical business use cases.
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