To Spark or Not to Spark
Apache Spark is a popular big data tool that offers fast processing and an easy entry point into machine learning. However, adding any technology to your stack comes with costs, so it's essential to consider whether using Spark is the best solution for your specific needs. Some factors to consider include the complexity of your data model, the frequency of ad-hoc report generation, and the need for a JDBC endpoint. In some cases, simpler solutions like DataStax Bulk Loader may be more appropriate. To learn more about when it's appropriate to use Spark or not, visit DataStax Accelerate.
Company
DataStax
Date published
May 13, 2019
Author(s)
Russell Spitzer
Word count
631
Language
English
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