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 ...

SAN MATEO, Calif., Sept. 26, 2019 (GLOBE NEWSWIRE) -- Rockset, the serverless search and analytics company that enables SQL on NoSQL data, today announced the capability to analyze raw events from ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Qlik (R) , a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today announced new capabilities in Qlik Open Lakehouse that bring streaming ingestion and ...

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 ...

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?

Syncsort, a global leader in Big Data software, announced new capabilities, including native integration with Apache Spark and Apache Kafka, allowing organizations to access and integrate ...