Apache Spark has been on the rise for the past few years and it continues to dominate the landscape when it comes to in-memory and distributed computing, real-time analysis and machine learning use cases. And with the recent release of StreamSets Transformer, a powerful tool for creating highly instrumented Apache Spark applications for modern ETL, […]
The emerging practice of DataOps encompasses many activities that an enterprise may execute today including ingestion, ETL, and real-time stream processing. The trick to DataOps is to execute these things in concert with global visibility, central control, and unparalleled insight into performance and security. The StreamSets DataOps platform provides a foundational capability for modern companies […]
A major challenge when deploying dataflow pipelines to run on Kubernetes is how to handle Kerberos principals and keytabs needed when pipelines write to secure Hadoop. One approach, of using Kerberos keytabs for principals of the form @ (without a host field), incurs security risks as a keytab for such a principal could be used […]
StreamSets is excited to announce the immediate availability of StreamSets Data Collector 3.10.0 and StreamSets Data Collector Edge 3.10.0. StreamSets Data Collector is open source under Apache License 2.0 and a powerful design and execution engine. It enables moving data between any source and destination, performing transformations, and push down analytics along the way. To […]
For those of you who joined us on June 6th, you dialed into a forward-thinking conversation between three industry experts. They waxed poetic about topics including big data, DataOps, governance, data science, and more in an effort to help modern data architects and analytics professionals better understand the emerging practices and themes around DataOps. If […]
This is short post, but relevant. Ever since DataOps was started (about 5 years) it hasn’t had a well-adopted and common definition. Wikipedia is partially OK at: DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. But it is not […]
StreamSets Data Collector reads from and writes to a wide variety of data stores and messaging platforms. Any interaction with an external system brings with it the risk of an error, and error messages are often less than helpful at pinpointing the root cause of the problem. Version 3.9.0 of Data Collector, released a few […]
Jeff Schmitz has been working with big data for over a decade: at Shell, Sanchez Energy, MapR and, currently, as a senior solutions architect at MongoDB. Here, in a guest post reposted with permission from the original, Jeff shares his early experience with StreamSets Data Collector. Now that I work for MongoDB I work with StreamSets quite a […]
StreamSets is excited to announce the immediate availability of StreamSets Data Collector 3.9.0 and StreamSets Data Collector Edge 3.9.0. StreamSets Data Collector is open source under Apache License 2.0 and a powerful design and execution engine. It enables moving data between any source and destination, performing transformations, and push down analytics along the way. To […]
The Glue Conference (better known as GlueCon) is always a treat for me. I’ve been speaking there since 2012, and this year I presented a session explaining how I use StreamSets Data Collector to ingest content delivery network (CDN) data from compressed CSV files in S3 to MySQL for analysis, using the Kickfire API to […]
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