Born out of Microsoft’s SQL Server Big Data Clusters investments, the Apache Spark Connector for SQL Server and Azure SQL is a high-performance connector that enables you to use transactional data in ...

Implementation of Amazon Kinesis Data Streams connector in Spark Structured Streaming with support to both GetRecords and SubscribeToShard (Enhanced Fan-Out, EFO) consumer types. Clone ...

Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and Apache Spark in one place. Readers might note that other prominent vendors in ...

Yesterday at the Microsoft Ignite conference, we announced that SQL Server 2019 is now in preview and that SQL Server 2019 will include Apache Spark and Hadoop Distributed File System (HDFS) for ...

Depending on your scenario, the Apache Spark Connector for SQL Server and Azure SQL is up to 15X faster than the default connector. The connector takes advantage of Spark’s distributed architecture to ...

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 ...