Welcome to the 9.2 release of DataPipeline.
Welcome to the 9.1 release of DataPipeline.
This is a quick bugfix release to address a couple issues.
Welcome to the 9.0 release of DataPipeline.
Welcome to the fourth quarter release of DataPipeline for 2023.
Relational databases play a crucial role in storing, managing, and analyzing data. One common challenge developers face is inserting data where a matching record might already exist. The “upsert” operation, short for “update or insert,” provides a solution to this problem. While not all database management systems (DBMSs) have a built-in “upsert” command, the concept can still be achieved using their built-in features. In this blog, we’ll explore the upsert operation, how it works, and how to perform upserts in different databases.
Last month we released version 8.2.0 of DataPipline. Here’s what you can expect.
DataPipeline 8.1.0 is now available. It adds support for multi-connection upserting to database tables, JDBC read fetch size, and more. Enjoy.
Late December we released DataPipeline version 8.0.0 to general availability. This might be our longest list of new features and changes yet. Let’s dive in.
June 2022
The internet’s globalization has been one of the main drivers of enabling FinTech to grow exponentially. A term that once only referred to banks and financial institutions’ back-office activities nowadays describes a broad assortment of solutions that incorporate E-commerce, intertwining personal and commercial transactions. The rapid technological advances happening in this industry are allowing companies and entrepreneurs to get together to discuss regulations, new advances, and potential investment opportunities.
We’ve gathered this list of fintech conferences you should consider attending in-person or virtually.
DataPipeline 7.1 is now available. It includes improvements in the areas of file I/O, data mapping, database integration, decisioning, debugging, and more. You can get started with Maven or Gradle, browse our Java examples, and review the changelog.