Webinar: Building a Best-in-Class Data Lake - April 16th 11 am PT
April 16, at 11 am PT | 2 pm ET
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.
We have identified the best practices for building a best-in-class data lake. In this webinar, we will explore:
- Advantages of cloud data lakes
- Major challenges when building a data lake on the cloud
- What a modern data architecture looks like and how to best implement it
- How different industries leverage these best practices in real-world scenarios
Join Ryan Murray on April 16, 2020 to learn more about how you can take advantage of these best practices to build a best-in-class cloud data lake to make the most of your modern data architecture.
Even if you can’t make it, register anyway, and we’ll send you the recording.