Your business data is a strategic asset, not a cost. Manage it effectively.
It’s our position that managed data lakes — centralized repositories for raw data from multiple sources that can be made available to many users for nearly any purpose — will become essential to the modern data architecture. Enterprises today generate and have access to huge volumes of data from a multitude of sources. Businesses used to consider their data primarily a cost, requiring funding for ever-increasing amounts of storage. Now most enterprises consider their data an asset — and are looking for new ways to leverage it for competitive advantages or to improve their bottom line.
Although enterprises have been using data for business intelligence and marketing for decades, the volume, types and real-time availability of data that is generated today, as well as modern data architectures and tools that can accommodate and analyze all of this data, are changing the ways enterprises can derive value from data. It is the inherent and essential flexibility of data lakes that promises to give enterprises the agility and scalability they require to discover timely, valuable business insights from big data.
This paper will discuss:
- The benefits of a managed data lake and 360-degree approach
- What are some best practices to implement a managed data lake
- What are some of the most common use cases for data lakes today
- Examples of how some of our customers have successfully implemented managed data lakes