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Why Databricks? We're growing fast and attracting the best talent in the world. Bricksters — as we call ourselves — are a special mix of smart, curious, quick thinkers and doers. If you ask a Brickster what they love about working here, they'll probably tell you about our unique culture.
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Read recent papers from Databricks founders, staff and researchers on distributed systems, AI and data analytics — in collaboration with leading universities such as UC Berkeley and Stanford. Access research. Explore Databricks resources for data and AI, including training, certification, events, and community support to enhance your skills.
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The Lakehouse architecture is quickly becoming the new industry standard for data, analytics, and AI. Get up to speed on Lakehouse by taking this free on-demand training — then earn a badge you can share on your LinkedIn profile or resume.
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Unified. Open. Scalable. The Databricks Data Intelligence Platform is built on lakehouse architecture, which combines the best elements of data lakes and data warehouses to help you reduce costs and deliver on your data and AI initiatives faster.. Built on open source and open standards, a lakehouse simplifies your data estate by eliminating the silos that historically complicate data and AI.
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Databricks Solution Accelerators are purpose-built guides — fully functional notebooks and best practices — that speed up results. Databricks customers are saving hours of discovery, design, development and testing, with many going from idea to proof of concept (PoC) in as little as two weeks. Explore Accelerators.
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Adobe is using the Databricks Data Intelligence Platform to help bring creativity to life, with end-to-end data management that unifies all data and AI at scale for over 92 teams and with 20% faster performance. Watch the Adobe story See all customers. Featured Stories. Customer Story
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Databricks, Inc. is a global data, analytics and artificial intelligence company founded by the original creators of Apache Spark. The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.. Databricks pioneered the data lakehouse, a data and AI platform that combines the capabilities of a ...
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listDatabases returns the list of database you have. listTables returns for a certain database name, the list of tables. You can do something like this for example : [ (table.database, table.name) for database in spark.catalog.listDatabases() for table in spark.catalog.listTables(database.name) ] to get the list of database and tables.
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