Azure Databricks

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Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. Designed with the founders of Apache Spark, Databricks is integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts.

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Getting Started

  1. Introduction to Azure Databricks
    11/15/2017, Video, 0:03:38
    Azure Databricks, a fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure. Designed in collaboration with the founders of Apache Spark,...
  2. A Developer’s Introduction to Big Data Processing with Azure Databricks
    5/9/2018, Video, 0:20:55
    Big Data is everywhere, and you as a developer can take advantage of the insights that can be derived of it. To make things easier, Azure brings services like Azure...
  3. The Developer Data Scientist – Creating New Analytics Driven Applications using Apache Spark with Azure Databricks
    5/6/2018, Video, 1:33:22
    The developer world is changing as we create and generate new data patterns and handling processes within our applications.  Additionally, with the massive interest in machine...

Azure Databricks News

Monitoring Azure Databricks clusters | THR2366
1/14/2020, YouTube: Microsoft Ignite [0:17:31]
Azure Databricks is a fast, powerful Apache Spark–based analytics service that makes it easy to rapidly develop and deploy big data analytics and artificial intelligence (AI) solutions. Many...
Delta Lake on Azure Databricks: Implementing a new open source standard for Data | THR2339
1/14/2020, YouTube: Microsoft Ignite [0:34:39]
Enhance your data lakes for greater value by adding new capabilities for transactions, version control and indexing using the latest open source innovations. Founded by the original creators of...
Delivering the MDW with Azure SQL Data Warehouse Azure Databricks Azure Data Factory | DATA10
1/14/2020, YouTube: Microsoft Ignite [0:46:28]
In this experience, see how Azure Data Factory (ADF), Azure Databricks, and Azure SQL Data Warehouse (SQL DW) can be used together to build a modern data warehouse. Start by using Azure Data...
Data reproducibility audits immediate rollbacks and other applications of time | BRK3254
1/14/2020, YouTube: Microsoft Ignite [0:46:09]
Time travel is now possible with Azure Databricks Delta Lake! We uncover how Delta Lake makes time travel possible and why it matters to you. Through presentation, notebooks, and code, we...
Managing your ML lifecycle with Azure Databricks and Azure Machine Learning | BRK3245
1/14/2020, YouTube: Microsoft Ignite [0:41:19]
Machine learning development has new complexities beyond software development. There are a myriad of tools and frameworks which make it hard to track experiments, reproduce results, and deploy...
Azure Databricks and Azure Machine Learning better together | THR2186
1/14/2020, YouTube: Microsoft Ignite [0:17:30]
In this theater session, we demonstrate the new integrations between Azure Databricks and Azure Machine Learning to realize comprehensive E2E machine learning scenarios for our customers.
Maximizing your Azure Databricks deployment | BRK3043
1/14/2020, YouTube: Microsoft Ignite [0:44:23]
Looking to get the most out of your Azure Databricks resources? Whether you’re new to Spark or an Azure Databricks veteran, attend and learn the tips, tricks, and best practices for working with...
Code-free ETL using Azure Data Factory | BRK3045
1/14/2020, YouTube: Microsoft Ignite [0:41:31]
Customers face common data integration problems every day. This session showcases how to use Azure SQL Data Warehouse, Azure Data Factory, Azure Data Lake Store, Azure Databricks, Azure Key Vault...
Long term immutable log data retention and log analytics using big data tools | THR2081
1/14/2020, YouTube: Microsoft Ignite [0:26:20]
At this session, learn how to use open source toolset and Azure Data Lake Storage Gen2 for long term, immutable log data retention and a big data tools, like Apache Spark (Azure Databricks), for...
Long term, immutable log data retention and log analytics using big data tools
11/5/2019, Ignite 2019 [0:20:00]
At this session, learn how to use open source toolset and Azure Data Lake Storage Gen2 for long term, immutable log data retention and a big data tools, like Apache Spark (Azure Databricks), for...
Azure Databricks and Azure Machine Learning better together
11/5/2019, Ignite 2019 [0:20:00]
In this theater session, we demonstrate the new integrations between Azure Databricks and Azure Machine Learning to realize comprehensive E2E machine learning scenarios for our customers.
Maximizing your Azure Databricks deployment
11/5/2019, Ignite 2019 [0:45:00]
Looking to get the most out of your Azure Databricks resources? Whether you’re new to Spark or an Azure Databricks veteran, attend and learn the tips, tricks, and best practices for working with...
Delta Lake on Azure Databricks: Implementing a new open source standard for Data Lakes
11/5/2019, Ignite 2019 [0:20:00]
Enhance your data lakes for greater value by adding new capabilities for transactions, version control and indexing using the latest open source innovations. Founded by the original creators of...
Monitoring Azure Databricks clusters
11/5/2019, Ignite 2019 [0:20:00]
Azure Databricks is a fast, powerful Apache Spark–based analytics service that makes it easy to rapidly develop and deploy big data analytics and artificial intelligence (AI) solutions. Many...
Managing your ML lifecycle with Azure Databricks and Azure Machine Learning
11/5/2019, Ignite 2019 [0:45:00]
Machine learning development has new complexities beyond software development. There are a myriad of tools and frameworks which make it hard to track experiments, reproduce results, and deploy...
Data reproducibility, audits, immediate rollbacks and other applications of time travel with Delta Lake in Azure Databricks
11/5/2019, Ignite 2019 [0:45:00]
Time travel is now possible with Azure Databricks Delta Lake! We uncover how Delta Lake makes time travel possible and why it matters to you. Through presentation, notebooks, and code, we...
Delivering the MDW with Azure SQL Data Warehouse, Azure Databricks, Azure Data Factory and PBI
11/5/2019, Ignite 2019 [0:45:00]
In this experience, see how Azure Data Factory (ADF), Azure Databricks, and Azure SQL Data Warehouse (SQL DW) can be used together to build a modern data warehouse. Start by using Azure Data...
Code-free ETL using Azure Data Factory
11/5/2019, Ignite 2019 [0:45:00]
Customers face common data integration problems every day. This session showcases how to use Azure SQL Data Warehouse, Azure Data Factory, Azure Data Lake Store, Azure Databricks, Azure Key Vault...
Databricks Delta Lake
10/15/2019, James Serra's Blog
Introduced in April 2019, Databricks Delta Lake is, in short, a transactional storage layer that runs on top of cloud storage such as Azure Data Lake Storage (ADLS) Gen2 and adds a layer of...
Deploy .NET for Apache Spark App to Azure Databricks | .NET for Apache Spark 101 [7 of 8]
9/23/2019, YouTube: dotNET Developer [0:14:50]
So far we've run our apps locally, but let's deploy one to Azure! Learn how to deploy your .NET for Apache Spark app to Azure Databricks, a fast, easy, collaborative Apache Spark-based platform...