When you focus on the theory of democratized data, it’s easy to get idealistic.  In this world of theory, practical realities fall by the wayside. The backend, where data... Read more »

A recent StreamSets research report examined data governance challenges in the modern enterprise. Based on survey data from over 650 data decision-makers and practitioners, we found that complex data... Read more »

StreamSets has added support to run Transformer for Spark on a new type of cluster: Amazon EMR (Elastic MapReduce) Serverless. Choose it or any of the other available supported... Read more »

Legacy technology is an age-old problem in financial services. However, with upstart online banks and fintech companies using real-time data to lure customers away with just the right offer... Read more »

Data transformation sits squarely in the middle of the complex data management ecosystem.  The data ingestion infrastructure you build is tailored to the types of transformations the system needs... Read more »

The business value of data analytics is well understood. Insights drawn from data can yield impressive business results in almost every industry context imaginable. A significant challenge remains, however:... Read more »

Source-to-target mapping in data engineering refers to the process of identifying and defining how data is transferred and transformed from a source system to a target system. It involves... Read more »

StreamSets has added support for Oracle Data Guard to one of our most popular origins: Oracle Change Data Capture (CDC) What Is Oracle Data Guard? Oracle Data Guard is... Read more »

Data movement forms a crucial aspect of data management and occurs via different methods, depending on the reasons for the move. One common method is data migration from a... Read more »