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Defining the Future of Data & AI: Announcing the Finalists for the 2022...

The annual Databricks Data Team Awards recognize data teams who are harnessing the power of data and AI to deliver solutions for some of the world’s toughest problems. Nearly 250 teams were nominated...

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What’s New With Databricks Notebooks at the Data & AI Summit

At Databricks, we are continually evolving the development experience to accelerate the path from data to insights. Today we’re excited to announce further improvements to the Databricks Notebook ahead...

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Prescriptive Guidance for Implementing a Data Vault Model on the Databricks...

There are many different data models that you can use when designing an analytical system, such as industry-specific domain models, Kimball, Inmon, and Data Vault methodologies. Depending on your...

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Data Warehousing Modeling Techniques and Their Implementation on the...

The lakehouse is a new data platform paradigm that combines the best features of data lakes and data warehouses. It is designed as a large-scale enterprise-level data platform that can house many use...

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Azure Databricks Guide to Data + AI Summit 2022 Featuring Akamai and AT&T

This is a collaborative post from Databricks and Microsoft Azure. We thank Rajeev Jain, Senior Product Marketing Manager at Microsoft, for his contributions.   Data + AI Summit 2022: Register now to...

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Everything You Need to Know About Data + AI Summit 2022

Data + AI Summit 2022, the global event for the data community, takes place in San Francisco and virtually in just a few days, June 27-30! This year’s Summit is truly a “can’t miss” event – with 240+...

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Databricks on Google Cloud Guide to Data + AI Summit 2022

This is a collaborative post from Databricks and Google Cloud. We thank Eddie White, Data and Analytics, Google Cloud for his contributions.   Data + AI Summit 2022: Register now to join this...

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Software Engineering Best Practices With Databricks Notebooks

Notebooks are a popular way to start working with data quickly without configuring a complicated environment. Notebook authors can quickly go from interactive analysis to sharing a collaborative...

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The Emergence of the Composable Customer Data Platform

This is a collaborative post between Databricks, Hightouch, and Snowplow. We thank Martin Lepka (Head of Industry Solutions at Snowplow) and Alec Haase (Product Evangelist at Hightouch) for their...

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Software Engineering Best Practices With Databricks Notebooks

Notebooks are a popular way to start working with data quickly without configuring a complicated environment. Notebook authors can quickly go from interactive analysis to sharing a collaborative...

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Inspiring Innovation With Data & AI: Announcing the Finalists for the 2022...

The annual Databricks Data Team Awards recognize data teams who are harnessing the power of data and AI to deliver solutions for some of the world’s toughest problems. Nearly 250 teams were nominated...

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Announcing the Winners for the 2022 Databricks Data Team Awards

The annual Databricks Data Team Awards recognize data teams who are harnessing the power of data and AI to deliver solutions for some of the world’s toughest problems. Nearly 250 teams were nominated...

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Databricks’ 2022 Global Partner Awards

Databricks has a partner ecosystem with over 600 partners globally that are critical to building and delivering the best data and AI solutions in the world for our joint customers. We are proud of this...

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Databricks SQL Serverless Now Available on AWS

We are excited to announce the availability of serverless compute for Databricks SQL (DBSQL) in Public Preview on AWS today at the Data + AI Summit! DB SQL Serverless makes it easy to get started with...

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Project Lightspeed: Faster and Simpler Stream Processing With Apache Spark

Streaming data is a critical area of computing today. It is the basis for making quick decisions on the enormous amounts of incoming data that systems generate, whether web postings, sales feeds, or...

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Introducing Data Cleanrooms for the Lakehouse

We are excited to announce data cleanrooms for the Lakehouse, allowing businesses to easily collaborate with their customers and partners on any cloud in a privacy-safe way. Participants in the data...

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Introducing Databricks Marketplace

We’re pleased to announce Databricks Marketplace, an open marketplace for exchanging data products such as datasets, notebooks, dashboards, and machine learning models. To accelerate insights, data...

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What’s New With Databricks Unity Catalog at the Data & AI Summit 2022

Today we are excited to announce that Unity Catalog, a unified governance solution for all data assets on the Lakehouse, will be generally available on AWS and Azure in the upcoming weeks. Currently,...

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Connect From Anywhere to Databricks SQL

Today we are thrilled to announce a full lineup of open source connectors for Go, Node.js, Python, as well as a new CLI that makes it simple for developers to connect to Databricks SQL from any...

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Top 5 Workflows Announcements at Data + AI Summit

The Data and AI Summit was chock-full of announcements for the Databricks Lakehouse platform. Among these announcements were several exciting enhancements to Databricks Workflows, the fully-managed...

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