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 […]
Yannick Jaquier is a Database Technical Architect at STMicroelectronics in Geneva, Switzerland. Recently, Yannick started experimenting with StreamSets Data Collector’s Oracle CDC Client origin, building pipelines to replicate data to a second Oracle database, a JSON file, and a MySQL database. Yannick documented his journey very thoroughly, and kindly gave us permission to repost his findings […]
Over the past decade, digital transformation has evolved such that every system and device has a digital trail: from IT servers, to factory equipment, to consumer electronics, to buildings, to cars. Increasing data volumes, rates, and variety have created increasing complexity, not to mention these new datasets must be analyzed in real-time. Fit-for-purpose data platforms […]
Data that’s in flight is perceived to be more challenging to work with than “landed” data sitting quietly in some storage platform. With the high volume, and variety of data constantly streaming in from IoT sensors, you need a holistic DataOps approach that goes beyond traditional, stationary transactional data. The StreamSets DataOps platform provides an […]
Introduction It should come as no surprise that a Hadoop cluster and the public cloud go together like peanut butter and jelly because of scale, agility, and economy. It should come as even less of a surprise that a software provider like Oracle is now providing an enterprise-grade cloud via its bare metal compute offering […]
StreamSets is proud to be hosting the first annual DataOps Summit in San Francisco, California at the Hilton San Francisco Financial District on September 3rd-5th. The summit will feature a full day of data operations training and two days of comprehensive content featuring major brands, high-scale use cases, ecosystem partners, and community heroes. Keynote discussions […]
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