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Apache Spark has become one of the most popular big data engines, yet it can still be difficult to use and manage in an easy and cost-effective manner. Big data cloud infrastructure is particularly vulnerable to spiraling costs.
For this reason, many businesses are turning to data platforms that can help them manage costs, add new functions, and customize existing one all while integrating seamlessly over their existing data architecture.
Read on to learn how a data platform service can help you manage your Spark performance for big workloads, and more.