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The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.
Successful exploitation could allow attackers to steal data, install malware, or take full control over affected big data systems.
What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning?
Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning.
Microsoft’s cloud-hosted data lake and lakehouse platform gains new data science tools and opens up Power BI datasets to Python, R, and SparkSQL.
Discover best practices that allow data pipelines to scale and support both structured and unstructured data.
Understand the caching mechanisms for the popular distributed SQL engine and how to use them to improve query speed and efficiency.
Serverless data integration service in the Amazon cloud also adds support for built-in Pandas APIs and the Apache Hudi, Apache Iceberg, and Delta Lake formats.
The data marketplace and other features are expected to accelerate data engineering tasks with an option for data monetization down the road, Databricks said.
Databricks is open sourcing Delta Lake to counter criticism from rivals and take on Apache Iceberg as well as data warehouse products from Snowflake, Starburst, Dremio, Google Cloud, AWS, Oracle and HPE.
.NET for Apache Spark 1.0 provides high-performance .NET APIs to Apache Spark including Spark SQL, Spark Streaming, and MLlib
Microsoft and Databricks say the vectorized query engine written in C++ accelerates Apache Spark workloads by up to 20x
A federated SQL query execution engine created at Facebook, Presto brings interactive querying to all of your data — no matter where it resides
The U.S. arm of the Japanese e-commerce giant has moved away from Hadoop in a bid to cut hardware costs and ease the management of its estate