#Spark
9 articles with this tag
Databricks Variant Simplifies Data Ingestion
Databricks' new Variant data type is now generally available, enabling faster ingestion and querying of semi-structured data with up to 30x performance gains.
Synapse to Databricks: The Migration Playbook
Moving from Azure Synapse to Databricks offers a unified Lakehouse, streamlining analytics and AI workloads while cutting costs and complexity.
Snowflake AI Platform Aims for Easier Data Migration
Snowflake launches AIM, an AI-powered platform simplifying enterprise data migration and modernization with dual paths for full transformation or rapid virtualization.
Databricks Shines at SIGMOD 2026
Databricks' Enzyme engine and Spark Declarative Pipelines are showcased at SIGMOD 2026, simplifying complex data engineering tasks.
OpenAI's Spark Automates Sales Tasks
OpenAI's Spark allows users to build custom AI agents, demonstrated with a sales agent automating lead research, outreach, and follow-ups.
Databricks AutoCDC Ends Hand-Coding Pain
Databricks AutoCDC automates change data capture and SCD pipelines, slashing manual coding, improving performance, and cutting costs with declarative simplicity.
Databricks Serverless JARs Launch
Databricks Serverless JARs enable instant deployment of Scala/Java Spark jobs, eliminating cluster management and offering usage-based billing.
Databricks Serverless Simplifies Data Ops
Databricks serverless compute automates infrastructure management, boosting performance and cutting costs for data engineering workflows.
Databricks Unlocks Billion-Scale Vector Search
Databricks unveils a redesigned vector search capable of handling billions of vectors, drastically cutting costs and improving scalability.