In today’s world of data proliferation, data-driven companies want to aggregate disparate data sets so that they can get the most value from them. Many companies like yours are migrating data to Hadoop data lakes in the cloud as a logical approach providing scalability and affordability. Some are finding that integrating and ingesting data from various, heterogeneous platforms into data lakes can be a complex undertaking, especially when real-time data is a requirement.
Recently, we ran a webinar featuring Noel Yuhanna, Principal Analyst at Forrester, presenting the latest trends, challenges – including data latency, heterogeneity, and data security – and best practices for building a Hadoop data lake in the cloud. Noel was joined by subject matter experts from MapR and Attunity who discussed technologies that solve these challenges and highlight customers who are building Hadoop data lakes in the cloud today.
Use Cases for a Data Lake in the Cloud
According to Noel, organizations are leveraging a data lake in the cloud for:
Benefits of a Cloud Data Lake
He went on to say that when a data lake on the cloud is part of your corporate strategy you can:
To learn more, watch the on-demand webinar “Best Practices for Building a Hadoop Data Lake in the Cloud”.