The data lake has increasingly become an important aspect of Hadoop’s appeal, referred to in some contexts as an “enterprise data hub.” It now garners interest not only from Hadoop’s existing adopters, but also from a far broader set of potential beneficiaries.
Early adopters in a wide range of industries are already finding ways to exploit the potential of their data lakes by operationalizing internal analytic processes and integrating rich real-time analyses with more established batch processing tasks.
In this report, you will explore key findings that include:
Operational workloads have different requirements on an IT infrastructure than the analytical batch processing duties traditionally associated with Hadoop.
Hadoop-based data lake augments rather than replaces existing IT systems of record such as the enterprise data warehouse.
Download Extending Hadoop Towards the Data Lake and learn about these key findings and how companies today are actively implementing data lake strategies!