As data continues to grow in both volume and formats across multiple deployments, performing analytics has become more complicated. By 2019, 75% of analytic solutions will incorporate 10 or more external data sources.1 Organizations able to glean insights from this diverse data set will have competitive advantages, from deeper understanding of customers, better responsiveness to trends, and more efficient operations, to name just a few.
This reality of data diversity has given rise to the “data lake”—a data management architecture that allows organizations store and analyze a wide variety structured and unstructured data.
This eBook details what data lakes can do for your organization, including:
• Simplifying data preparation and reducing cost
• Integrating a data lake into existing infrastructure
• The pitfalls to avoid when establishing a data lake
• How to best handle data governance and security
Learn how a data lake can help your organization capitalize on a broader variety of data and reach smarter, data-driven decisions. Get tips for choosing technology and tailoring your data lake to the right users.
1 Crowdflower, “2016 Data Science Report”