The Data and AI Company — Databricks
The Databricks Data Intelligence Platform integrates with your current tools for ETL, data ingestion, business intelligence, AI and governance. Adopt what’s next without throwing away what works.
Big Data Analytics Explained - Databricks
Big data analytics takes advantage of advanced analytic techniques to analyze really big data sets that include structured, semi-structured and unstructured data, from various sources, and in different sizes from terabytes to zettabytes.
Learn About Databricks Spark | Databricks
Explore Apache Spark: A unified analytics engine for big data and machine learning, boasting speed, ease of use, and extensive libraries.
What is Databricks? | Databricks on AWS
Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. The Databricks Data Intelligence Platform integrates with cloud storage and security in your cloud account, and manages and deploys cloud infrastructure on your behalf.
Databricks: Making Big Data Easy
Jul 14, 2014 · Databricks Workspace makes it dramatically easier to use big data frameworks, in general, and Spark, in particular, by providing three powerful web-based applications: notebooks, dashboards, and a job launcher. Notebooks allow users to interactively query and visualize data.
The Big Book of Data Engineering: 2nd Edition - Databricks
Check out our latest Big Book of Data Engineering to help you tackle your next challenge. Get the latest data engineering guidance for building data pipelines on the lakehouse including best practices and real-world references.
Big Book of Data Engineering — 3rd Edition - Databricks
We’ve revamped our Big Book of Data Engineering with the latest, including intelligent capabilities that automate tasks and speed up innovation. Sharpen your data engineering expertise with the latest best practices on the Databricks Data Intelligence Platform.
Processing Geospatial Data at Scale With Databricks
Dec 5, 2019 · In this blog we demonstrated how the Databricks Unified Data Analytics Platform can easily scale geospatial workloads, enabling our customers to harness the power of the cloud to capture, store and analyze data of massive size.
Build an end-to-end data pipeline in Databricks
Build an end-to-end data pipeline in Databricks. This article shows you how to create and deploy an end-to-end data processing pipeline, including how to ingest raw data, transform the data, and run analyses on the processed data.
Data & AI Service on Azure - Databricks
Azure Databricks is optimized for Azure and tightly integrated with Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Power BI and other Azure services to store all your data on a simple, open lakehouse and unify all your analytics and AI workloads.