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 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 […]
StreamSets is excited to announce the immediate availability of StreamSets for Snowflake, the first DataOps platform for Snowflake. Now users can extend their Dataops environments to the popular Snowflake service. StreamSets makes copying data from databases, streams, and event processing directly into your cloud EDW simple, without complex schema design and hand-coding. Users get high […]
As fall approaches and there’s a chill in the morning air, it inevitably comes time for the annual Cloudera Data Impact awards. We are thrilled to have three finalists in the hunt this year: Vodafone, one of the world’s largest mobile operators, in the Business Impact category, Voya Financial, a Forbes 1000 financial services firm, […]
Many Roads Lead to Rome Over the last ten years, the data management landscape has changed dramatically — on that, I think we can all agree. The rise of big data and the new data management ecosystem has created an abundance of new patterns and tools, each of which is more specialized than the last. […]
There has been an explosion of innovation in open source stream processing over the past few years. Frameworks such as Apache Spark and Apache Storm give developers stream abstractions on which they can develop applications; Apache Beam provides an API abstraction, enabling developers to write code independent of the underlying framework, while tools such as […]
Today we hear a lot about streaming data, fast data, and data in motion. But the truth is that we have always needed ways to move our data. Historically, the industry has been pretty inventive about getting this done. From the early days of data warehousing and extract, transform, and load (ETL) to now, we […]
Reposted from the Cloudera Vision blog. What do Sony, Target and the Democratic Party have in common? Besides being well-respected brands, they’ve all been subject to some very public and embarrassing hacks over the past 24 months. Because cybercrime is no longer driven by angst-ridden teenagers but rather professional criminal organizations and state-sponsored hacker groups, the […]
Apache Kudu and Open Source StreamSets Data Collector Simplify Batch and Real-Time Processing As originally posted on the Cloudera VISION Blog. At StreamSets, we come across dataflow challenges for a variety of applications. Our product, StreamSets Data Collector is an open-source any-to-any dataflow system that ensures that all your data is safely delivered in the […]
Friends of StreamSets, Today I am delighted to announce our new product, StreamSets Dataflow Performance Manager, or DPM, the industry’s first solution for managing operations of a company’s end-to-end dataflows within a single pane of glass. The result of a year’s worth of innovative engineering and collaboration with key customers, DPM will be generally available […]
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