Today, June 11, a Databricks, data and AI company, presented several news in the 20225 edition of the Data + AI Summit, company event that takes place in San Francisco (USA) announced an investment of US$ 100 million in global data and AI education, with the goal of closing the talent gap across the industry and preparing the next generation of engineers, analysts and data scientists.
One of the initiatives that is part of this investment is the launch of the free edition of its Databricks platform, which offers all students, amateurs and future professionals of the area FREE access to all the features of the Data Intelligence Platform Databricks. Check out other highlights below:
Main news:
- Databricks free edition: This is a new offer that offers all students, amateurs and future professionals in the area free access to all the features of the Data Intelligence Platform Databricks and a comprehensive set of trainings to accelerate your knowledge of data technologies and AI. Read more here.
- Databricks One: a new experience to bring data and AI to every corner of the world and gives business users simple and secure access to the data and AI capabilities offered by Data Intelligence Platform.for the first time, enterprise users will be able to interact with AI/BI dashboards, ask questions about natural language data through AI/BI Genie, driven by in-depth research, find relevant dashboards quickly, and use custom Databricks & I.E applications all in a stylish, code-free environment designed for their needs. Read more here.
- Agent Bricks: it's a new automated way to create high-performance AI agents, customized for your business. Simply provide a detailed description of your agent's task and connect your company's data & I.E.Agent Bricks takes care of the rest.The solution is optimized for common industry use cases including structured information extraction, reliable knowledge assistance, custom text transformation, and orchestrated multi-agent systems. Read more here.
- Lakeflow Designer: This new no-code ETL feature allows non-technical users to build production data pipelines using a drag-and-drop visual interface and a natural language GenAI wizard.Lakeflow Designer is supported lakeflow, the unified solution for data engineers to build reliable data pipelines faster, using all the business-critical data that is now available to everyone. Read more here.
- Lakebase: the first fully managed Postgres database, developed for AI, the Databricks Lakebase adds an operational database layer to the Data Intelligence Platform developers and businesses can now build data applications and AI agents faster and easier on a single, multi-cloud platform.Lakebase is now available in Public View. Read more here.
- What's New in Unity Catalog: Unity Catalog adds full support for Apache Iceberg tables, including native support for Apache Iceberg REST Catalog APIs. Now Unity Catalog is the only catalog that allows external engines to read and write, with fine-grained governance, Iceberg-managed tables optimized for performance, eliminating dependency and enabling seamless interoperability.Databricks is also introducing two new enhancements that extend Unity Catalog to enterprise users
- Donation of Declarative Pipelines to the Apache Spark OPEN source project : Databricks is making the company's core declarative ETL framework, Apache Spark Declarative Pipelines, available open source. This initiative comes after Apache Spark has reached two billion downloads and the recent release of Apache Spark 4.0. These releases build on Databricks' long-standing commitment to open ecosystems, ensuring users have the flexibility and control they need without reliance on vendors. Spark Declarative Pipelines addresses one of the biggest challenges in data engineering, making it easy to build and operate reliable, scalable data pipelines end-to-end.
