AI tools for “data”

Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities. This skill MUST be invoked when the user mentions: "DBSQL", "Databricks SQL", "SQL warehouse", "SQL scripting", "stored procedure", "CALL…

Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.

…Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL, including Auto CDC from event streams or periodic complete snapshots.…

Write a tight post-earnings reaction note using Bigdata.com data — headline numbers versus consensus with beat/miss magnitude, what mattered on both sides, a prior-versus-new guidance table, an explicit thesis check…

Ground text-to-SQL work in DataHub catalog evidence. Use when a user asks to write, draft, debug, or execute SQL; answer a data question that requires SQL; calculate a metric; query named tables; or investigate SQL…

…institutional investment memo on a public company using Bigdata.com data — thesis, variant perception versus consensus, valuation, risks, catalysts, and an explicit recommendation with conviction. Runs the complete…

Set up Databricks as a data warehouse for Confidence. Use when the user chose Databricks for warehouse setup.

Databricks Model Serving endpoint lifecycle and ops. Use when asked to: CRUD serving endpoints (CLI or MLflow Deployments client); configure traffic routing for A/B / canary deploys and zero-downtime version swaps;…

Prepare payloads, run and monitor the Autonomous Vehicle Dataset Generation Airflow workflow, and inspect results for driving-clip retrieval and Cosmos3-Nano variants. Existing clips with no retrieval use…

…bus to run. Use to stream events, telemetry, logs, IoT data, CDC, or columnar batches into Databricks in near real time; connect existing collectors and log shippers (OpenTelemetry, Debezium, Vector, Telegraf,…

Fuel marketing with Versium REACH. Clean, enrich, and action B2B2C data with our proprietary identity graph to drive 10x higher engagement.

SentinelOne unifies AI-powered endpoint, cloud, identity, and data protection — enhanced by our Security Data Lake for seamless and efficient cybersecurity.

Free and open source with all your data analysis tools. Create data science solutions with the visual workflow builder & put them into production in the enterprise.

Enterprise training data for voice AI and LLMs. Voice, audio, and text training data at scale — 100+ languages, global crowd, deployable on your infrastructure.

Walrus is the data platform built for the demands of AI, where data is portable, protected, and verifiable. Navigation Menu Back Close Discover Build Ecosystem About // Get started Walrus Memory Walrus Console…

Riveter finds and structures data from the web using AI agents. Describe what you need and get a finished, structured dataset through a single API.

EaseUS offers various software utilities to safeguard your data and improve productivity, including data recovery software, backup software, partition manager, data transfer tool, video editor, and recorder.

The B2B data foundation for AI agents. Access go-to-market data and infrastructure built to power context-aware AI products and strategies.

We're transforming drug design with a rich dataset built by screening millions of compounds against thousands of protein to generate billions of data points, ideal for training advanced machine learning models.

…to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages,"…