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StreamSets Data Integration Blog

Where change is welcome.

Solving a Hidden $2m Data Pipeline Problem for Businesses


Data has always been important to businesses. But in the post-pandemic era, it’s recognized as a critical differentiator. Yet unlocking data silos to generate business insight  isn’t as simple as flicking a switch. The complexity of modern IT environments can make the process of building data supply chains time-consuming and resource intensive. New global research from StreamSets reveals it could…

Michele Reister StreamSets By March 2, 2023

How To Import an Ingres Database Into PostgreSQL the Easy Way


While the Ingres database technology may have peaked in the 1980s, the tech is still in use, especially among large government and commercial organizations.  But for a variety of reasons, it may be necessary to import an Ingres database to PostgreSQL.  To do this, you have two options: Manually import the Ingres database Use a tool to import your database…

Brenna Buuck By March 2, 2023

Considerations for Your Database Migration Strategy


As businesses grow, business requirements and needs change. At some point, organizations often outgrow their existing database and must switch to one with better performance, requiring a data migration. Data migration refers to the movement of data from a source location to a new target location. Embarking on a data migration project is rigorous, as it involves more complexity than…

Jesse Summan By February 24, 2023

Searching in the StreamSets Platform – New Advanced Query Language Feature

Use Cases

At StreamSets, we are always looking to improve your experience and make it easier for you to find what you need. We are excited to announce StreamSets Control Hub has just released a new and improved search feature, making it easier for users to find and manage their pipelines, fragments and jobs. With the new Search functionality, you can now…

By February 16, 2023

Transformer for Spark: Multitable Consumer


Newcomers to StreamSets might not know that we have three engines under the Control Hub hood: Data Collector, Transformer for Spark, and Transformer for Snowflake. This fact is easy to miss, because of how streamlined the experience is for users. The canvas, toolbars, and experience are largely the same for each engine by design. The intent is to minimize the…

Brenna Buuck By February 9, 2023
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