In today’s world of data proliferation, data-driven companies like yours want to aggregate disparate data sets so that they can get the most value from them. Many companies 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.
Watch this webinar featuring Noel Yuhanna, Principal Analyst at Forrester, to learn about the latest trends, challenges – including data latency, heterogeneity, and data security – and best practices for building a Hadoop data lake in the cloud. Noel is joined by Big Data experts from MapR and Attunity who discuss technologies that solve these challenges and highlight customers who are building Hadoop data lakes in the cloud today.