A recent press release states, “StreamSets, Inc., provider of the industry’s first DataOps platform for modern data integration, released today StreamSets® Transformer, a simple-to-use, drag-and-drop UI tool to create native Apache Spark applications. Designed for a wide range of users — even those without specialized skills — StreamSets Transformer enables the creation of pipelines for performing ETL, stream processing and machine-learning operations. Now, data engineers, scientists, architects and operators gain deep visibility into the execution of Apache Spark while broadening usage across the business.”
The release continues, “Apache Spark delivers on the promise of advanced data processing and machine learning at scale. But there are drawbacks. Developing and operating applications on Apache Spark is complex and requires hand-coding. It is typically restricted to developers and companies with mature data engineering and data science practices. In addition, users often have very limited visibility into how their Apache Spark jobs are running. StreamSets Transformer solves these issues. Its easy-to-use, logical user interface and rich tools for designing data transformations eliminate the complexity and need for specialized skills. Pipelines instrumented with StreamSets Transformer provide unparalleled visibility into every Spark execution. Equally important, developers now have a single tool to build both batch and streaming pipelines.”
Read more at Globe Newswire.
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