Prior to SQL Server 2017, query processing was a monolithic process. The SQL Server query optimizer would first construct a query plan for a batch of T-SQL code, a stored procedure, or function and ...

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 ...

Senzing, an identity intelligence company, today announced the opening of its Senzing for Apache Spark beta program, bringing the company’s industry-leading entity resolution technology to distributed ...

Arla Foods’ new dairy plant in England provides ample evidence that necessity is indeed the mother of invention. Head of engineering Soeren Vonsild describes Arla’s necessity this way. “In this dairy, ...

Batch processing, or batch production, is a scaled-down version of assembly line production. Products are produced in groups instead of in continuous streams as they are on assembly lines. However, ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Toby Walters is a financial writer, investor, and lifelong learner. He has a passion for ...

Today, at its Ignite conference in Orlando, Microsoft is announcing the general availability of a new version of its flagship operational database, SQL Server 2017. SQL Server is a product I have ...

In batch processing, if costs are not isolated, high-volume customers and products tend to subsidize lower-volume ones. This article reviews different types of batch activities and how they would be ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

Despite the growing momentum behind SOA and real-time integration, many interfaces are still flat file-based and therefore best processed through a batch mode. Nevertheless, there is no de facto or ...