Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding ...
Data transaction streaming is managed through many platforms, with one of the most common being Apache Kafka. In our first article in this data streaming series, we delved into the definition of data ...
The new release of Syncsort's industry-leading data integration software, DMX-h v9, greatly simplifies Spark application development, allowing applications to leverage the increasing power of a ...
IBM's $11B Confluent acquisition completes its hybrid cloud stack, with Kafka streaming joining Red Hat and HashiCorp for ...
eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...
Data contracts are foundational to properly designed and well behaved data pipelines. Kafka and Flink provide the key ...
The financial data is flowing at a faster rate than before. Millions of transactions, customer interactions, and risk alerts paint a constantly changing picture ...
Tinybird has raised a $37 million Series A round led by CRV and Singular Ventures. Your company may have stored a ton of data in a warehouse — everything is in there. But what do you do with it now?
Today’s analytical requirements are putting unprecedented pressures on existing data infrastructures. Performing real-time analytics across operational and stored data is typically critical to success ...