The model is able to generate more efficient SQL commands and navigate the database schema by utilizing examples that are specifically related to each query. These techniques are used to generate SQL ...

Apache Spark has emerged as one of the most powerful tools for big data processing providing capabilities for handling vast datasets quickly and efficiently. It offers a unified analytics engine for ...

Here I’ll bring in such a tool, esProc SPL, list various SQL file query scenarios and offers esProc example programs. esProc is a specialized data computing engine, and SPL, abbreviation of Structured ...

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning.

Read this SQL tutorial to learn when to use SELECT, JOIN, subselects and UNION to access multiple tables with a single statement.

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 ...

Query Store is one of the most powerful database-scoped features in SQL Server for troubleshooting performance and improving the stability of your database.

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases.

The Apache Spark community last week announced Spark 3.2, a significant new release of the distributed computing framework. Among the more exciting features are deeper support for the Python data ...