Ingest, prepare & transform using Azure Databricks & Data Factory | Azure Friday
Today's business managers depend heavily on reliable data integration systems that run complex ETL/ELT workflows (extract, transform/load and load/transform data). Gaurav Malhotra joins Scott Hanselman to discuss how you can iteratively build, debug, deploy, and monitor your data integration workflows (including analytics workloads in Azure Databricks) using Azure Data Factory pipelines.
For more information:
• Ingest, prepare, and transform using Azure Databricks and Data Factory (blog) https://aka.ms/azfr/406/01
• Run a Databricks notebook with the Databricks Notebook Activity in Azure Data Factory (docs) https://aka.ms/azfr/406/02
• Create a free account (Azure) https://aka.ms/azfr/406/03
Видео Ingest, prepare & transform using Azure Databricks & Data Factory | Azure Friday канала Microsoft Azure
For more information:
• Ingest, prepare, and transform using Azure Databricks and Data Factory (blog) https://aka.ms/azfr/406/01
• Run a Databricks notebook with the Databricks Notebook Activity in Azure Data Factory (docs) https://aka.ms/azfr/406/02
• Create a free account (Azure) https://aka.ms/azfr/406/03
Видео Ingest, prepare & transform using Azure Databricks & Data Factory | Azure Friday канала Microsoft Azure
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Azure Databricks Tutorial | Data transformations at scaleContinuous integration and deployment using Azure Data Factory | Azure FridayAzure Data Factory Parametrization TutorialIngesting data with Azure Databricks | Azure SQL Data WarehouseAzure Analysis Services Tutorial | Scale Power BI reports into hundreds of GBsDelta Lake for Apache Spark - Why do we need Delta Lake for Spark?Building Dynamic Pipelines in Azure Data Factory v2Azure Key Vault Tutorial | Secure secrets, keys and certificates easilyAzure Data Factory Triggers Tutorial | On-demand, scheduled and event based executionAzure Data Factory | Copy multiple tables in Bulk with Lookup & ForEachAzure Data Factory - Accessing a Databricks Notebook with Input and Output ParametersAZ-900 Episode 15 | Azure Big Data & Analytics Services | Synapse, HDInsight, DatabricksAzure Databricks using Python with PySparkAzure Databricks: A Brief IntroductionPaul Andrew: A Complete Introduction to Azure Data Factory at Data Platform Discovery Day April 2020Building Advance Analytics pipelines with Azure Databricks - Lace LofrancoAzure Data Factory Tutorial | Introduction to ETL in AzureAzure Databricks = Azure + Spark + Machine LearningAzure Databricks - What's new! | DB102Azure Databricks Secret Scopes Tutorial | Secure your notebook secrets