Do you have questions about Azure Data Factory?
The Azure Data Factory engineering teams are excited to hear from the community and learn how we can work together to build better products for you.
A Cloud Guru covers the news this week in Azure
if you’re familiar with SQL Server Integration Services (SSIS), Azure Data Factory is a very similar service but on the cloud, and now it has more regions. We introduce Azure Monitor Network Insights, Azure Functions latest Python support, and we run through the latest Azure AI and Data certification exam changes.
In this live stream, Andy Leonard shows you how to get started with Azure Data Factory.
Jes Schultz is a Software Engineer at Microsoft, specializing in Azure data tools. She codes with customers to solve their data problems and build amazing software systems.
Watch her speak to Data Engineering San Diego
Azure Synapse is now generally available!
Microsoft Mechanics explains why this is a game changer for analytics.
In this video, Chris Seferlis describes some of the most common data workloads that are being deployed on Azure and which of the 3 major compute engines are best for each workload.
Chris Seferlis discusses one of the lesser known and newer Data Services in Azure, Data Explorer.
If you’re looking to run extremely fast queries over large sets of log and IoT data, this may be the right tool for you. I also discuss where it’s not a replacement for Azure Synapse or Azure Databricks, but works nicely alongside them in the overall architecture of the Azure Data Platform.
In this video Chris Seferlis discusses some of the reasons you might want to choose Azure Data Factory over Azure Synapse Workspaces with Synapse Studio.
Even though many of the features overlap, there are still scenarios where I’d use ADF, and pass on the additional features of Synapse. Let me know your thoughts below, please like, comment, share and follow me on Twitter: @bizdataviz
In this video, Chris Seferlis continues discussing the Modern Data Platform in Azure with Part 3: Data Processing.
Tools Discusssed:
- Azure Data Factory Data Flows – https://docs.microsoft.com/en-us/azure/data-factory/concepts-data-flow-overview
- Azure Databricks – https://azure.microsoft.com/en-us/services/databricks/
- Azure HDInsight – https://azure.microsoft.com/en-us/services/hdinsight/
- Azure Marketplace – https://azuremarketplace.microsoft.com/en-us/marketplace/
In this video, Chris Seferlis discusses stage one of the Modern Data Warehouse Process: Data Ingestion.
Related Links:
- Azure Data Factory – https://azure.microsoft.com/en-us/services/data-factory/
- Azure Databricks – https://azure.microsoft.com/en-us/services/databricks/
- Azure HDInsight – https://azure.microsoft.com/en-us/services/hdinsight/
- Azure Synapse – https://azure.microsoft.com/en-us/services/synapse-analytics/
- Azure Data Box – https://azure.microsoft.com/en-us/services/databox/
- Event Hubs – https://azure.microsoft.com/en-us/services/event-hubs/
- Kafka on HDInsight – https://docs.microsoft.com/en-us/azure/hdinsight/kafka/apache-kafka-introduction
- IoT Hub – https://azure.microsoft.com/en-us/services/iot-hub/