Learn how to cash in on the advantages of cloud data lakes.
Data lakes are the key element in most enterprise data architectures. In the cloud, data storage systems like Amazon S3 make it easier than ever to operate a data lake. However, there are still a number of challenges to overcome when building a cloud data lake. For example, most data journeys don’t start on the data lake; instead, data is initially stored in a variety of data sources ranging from RDBMSs to NoSQL databases. Data also needs to be processed, explored, and analyzed using a variety of engines like Spark, Impala, Athena, and Dremio.
Scott Gay Sr. Solutions Architect Dremio
Lucio Daza Dir. Technical Marketing Dremio
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Watch this on-demand webinar to learn:
The major challenges of building a data lake on the cloud
Best practices for implementing a modern data architecture
Real-world case studies from organizations who got it right