The latest release of the Apache Flink framework introduces the capability to execute exploratory SQL queries on data streams from a new SQL client, which will open the processing framework to a new ...

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Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Senyo Simpson discusses how Rust's core ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

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Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

The open source, massively parallel processing (MPP) analytical database will take on the likes of ClickHouse, MariaDB, Apache Druid, Apache Pinot, and hyperscaler services such as Google BigQuery, ...

Streaming is hot. The demand for real-time data processing is rising, and streaming vendors are proliferating and competing. Apache Kafka is a key component in many data pipeline architectures, mostly ...

Hadoop is big, but there’s no doubt that the game changer will be marrying SQL— the primary language used by business analysts for ad hoc analysis—with Hadoop. If you don’t want the information in ...

It's been amusing to watch the NoSQL movement transition from a “We don’t need no stinking SQL” attitude to a “Can I please have some SQL with that?” philosophy. The nonrelational databases that ...