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Customer Lifetime Value Part 2: Estimating Future Spend
Download the Customer Lifetimes Part 2 notebook to demo the solution covered below, and watch the on-demand virtual workshop to learn more. You can also go to Part 1 to learn how to estimate customer...
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Time Traveling with Delta Lake: A Retrospective of the Last Year
Try out Delta Lake 0.7.0 with Spark 3.0 today! It has been a little more than a year since Delta Lake became an open-source project as a Linux Foundation project. While a lot has changed over the last...
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Government and Education Sessions You Don’t Want to Miss at Spark + AI Summit...
For years, the Spark + AI Summit has been the premier meeting place for organizations looking to build data analytics and AI applications at scale with leading open-source technologies such as Apache...
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Introducing Apache Spark 3.0
We’re excited to announce that the Apache SparkTM 3.0.0 release is available on Databricks as part of our new Databricks Runtime 7.0. The 3.0.0 release includes over 3,400 patches and is the...
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Avanade and Databricks Partner to Deliver Data and AI Solutions with Azure...
We’re excited to share the announcement of our partnership with Avanade to enable enterprise clients to scale their Azure Data and artificial intelligence (AI) investments and to generate positive...
View ArticleOnline Learning with Databricks
Recently, a gentleman named Scott Galloway was featured in an article in New York Magazine about how Covid-19 is breaking the higher education business model. The article led to an invitation to a...
View ArticleAnnouncing the 2020 Databricks Data Team Award Finalists
SPARK + AI Summit, the world’s biggest gathering of data and artificial intelligence (AI) professionals, has arrived, and this year’s theme is ‘Data Teams Unite!’ So what better time to announce the...
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Key sessions for AWS customers at Spark + AI Summit
At Databricks, we are excited to have Amazon Web Services (AWS) as a sponsor of the first virtual Spark + AI Summit. Our work with AWS continues to make Databricks better integrated with other AWS...
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Key sessions for Microsoft Azure customers at Spark + AI Summit
At Databricks, we are extremely excited to have Microsoft as a Diamond sponsor of the first virtual Spark + AI Summit. Microsoft and Azure Databricks customers are coming together at Summit. Rohan...
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Introducing Delta Engine
Today, we announced Delta Engine, which ties together a 100% Apache Spark-compatible vectorized query engine to take advantage of modern CPU architecture with optimizations to Spark 3.0’s query...
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Introducing Koalas 1.0
Koalas was first introduced last year to provide data scientists using pandas with a way to scale their existing big data workloads by running them on Apache SparkTM without significantly modifying...
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Welcoming Redash to Databricks
This morning at Spark and AI Summit, we announced that Databricks has acquired Redash, the company behind the popular open source project of the same name. With this acquisition, Redash joins Apache...
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Introducing GlowGR: An industrial-scale, ultra-fast and sensitive method for...
Today, we announce that we are making a new whole genome regression method available to the open source bioinformatics community as part of Project Glow. Large cohorts of individuals with paired...
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MLflow Joins the Linux Foundation to Become the Open Standard for Machine...
Watch Spark + AI Summit Keynotes here At today’s Spark + AI Summit 2020, we announced that MLflow is becoming a Linux Foundation project. Two years ago, we launched MLflow, an open source machine...
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Introducing the Next-Generation Data Science Workspace
At today’s Spark + AI Summit 2020, we unveiled the next generation of the Databricks Data Science Workspace: An open and unified experience for modern data teams. Existing solutions make data teams...
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Announcing MLflow Model Serving on Databricks
Databricks MLflow Model Serving provides a turnkey solution to host machine learning (ML) models as REST endpoints that are updated automatically, enabling data science teams to own the end-to-end...
View ArticleAnnouncing GPU-aware scheduling and enhanced deep learning capabilities
Databricks is pleased to announce the release of Databricks Runtime 7.0 for Machine Learning (Runtime 7.0 ML) which provides preconfigured GPU-aware scheduling and adds enhanced deep learning...
View ArticleMeet the 2020 Databricks Data Team Awards Winners
On the closing day of Spark + AI Summit, Databricks CEO Ali Ghodsi recognized three exceptional data teams for how they came together to solve a tough problem– delivering impact, innovation, and...
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Celebrating Pride Month at Databricks
With Pride month coming to an end, Databricks’ newest Employee Resource Group, Queeries Network, is looking back at how we celebrated. The mission of this group is to create opportunities to come...
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Databricks Announces 2020 North America Partner Awards
Databricks has a great partner ecosystem of over 450 partners 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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