Glean introduces a data-analysis layer that links enterprise data with unstructured context to answer why and what next, without rebuilding existing systems. It integrates with major apps and warehouses to enable natural-language queries, dashboards, recurring reports, and agent-driven workflows across the organization.
Cloudflare introduces Basin, a serverless, open- Iceberg-based data platform on its R2 storage designed to ingest, catalogue, and query analytics data with zero egress fees and usage-based pricing, aiming to compete in the data lakehouse market either as a full-stack solution or an open-infrastructure layer for existing tools.
A partner company seeks a Senior Data Engineer (Azure Databricks) in Brazil for a remote, global role. Responsibilities include building and optimizing data pipelines, ETL/ELT processes, data quality, SQL performance, and production support in the Azure ecosystem.
The course teaches Azure data engineering through online classes, hands-on exercises, and project scenarios covering Azure services, SQL, Python, and data workflows. It is aimed at students and professionals seeking skills for cloud data roles.
Engagemii provides visibility data on 82.1 million companies and their connections to AI answer engines. It offers a data MCP server for Databricks and two free datasets on Databricks Marketplace: 1 million companies and a 500-company full-column sample.
The document explains how to use Data Cloud connectors and Conversational Analytics agents within Gemini for enterprise data querying. It covers governance, authentication, and deployment options, including how administrators set up connectors and how users access either ad hoc queries or scoped agents via Gemini or API.
Translated title. Original: Databricks、OpenAIツールの企業向け導入に向けた3つの方法を詳述 – Unite.AI - YAYAFA
Databricks outlines three ways to bring OpenAI tools into enterprise workflows: Genie with ChatGPT, centrally governed Codex, and custom agents hosted on Databricks. Shared controls manage data access, request routing, and costs.
AWS Clean Rooms now supports Databricks as a data source, enabling secure, no-copy collaboration on Databricks data via Delta Sharing. This eliminates the need to export data to S3 and expands existing sources like Glue, Snowflake, and Athena.
Translated title. Original: AWS-Kapazität: Cloud-Angebot für 2026 ausgebucht, 2027 fast vergeben
AWS capacity for 2026 is booked out, with 2027 nearly allocated, signaling tight cloud resources and near-term demand pressure.
Databricks says Genie Migrate can convert code from seven data warehouses into open ANSI SQL and manage the migration review process. MIXI used it for a BigQuery migration, reporting that 85% of tested files ran successfully without manual edits.