StreamSets: Where DevOps Meets Data Integration

Thanks for your interest in StreamSets!

Speed . Confidence . DataOps

StreamSets deliver continuous data to every part of your business and handle data drift using a modern approach to data engineering and integration. Its DataOps platform helps companies build and operate continuous dataflow topologies, combining award-winning open source data movement software with a cloud-native Control Hub. Enterprises use StreamSets to enable cloud analytics, build ETL and machine learning applications on Spark and data lakes, stream with Apache Kafka, and build advanced solutions for IoT and cybersecurity. For more information, visit www.streamsets.com.

Released in late 2019 StreamSets® Transformer, a simple-to-use but powerful, 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.

Join us at Big Data Paris, booth A30 and see how StreamSets® Transformer can take the complexity out of big data systems and help you to simplify the process of building, executing and operating dataflow pipelines. The key features of StreamSets® Transformer include:

Continuous monitoring
Progressive error handling
Multiple deployment options
Highly extensible sets-based processing

Whether you're just starting with big data, or consider yourself an expert, StreamSets can help extend the value of your deployment to deliver greater results for your business. Schedule your demo at Big Data Paris today.

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Person Source:

Honeypot:

Managing Big Data Pipelines in the Cloud with Databricks and StreamSets

Seventy-Thirty

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More Helpful Resources

The DataOps Blog:

Where Change Is Welcome

Analyst Report:

Eckerson: Best Practices for DataOps - How to Create Robust, Automated, Data Pipelines

White Paper:

Modern Data Integration for DataOps

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