
Azure Data Factory: Introduction [Data Flows Series – Ep. 1]
- Frank
- November 15, 2022
- 2022
- ADF
- ADF 2022
- Append Variable
- Austin Libal
- Azure
- Azure Data Factory
- Azure pipeline
- azure tutorial
- Big Data
- Convert CSV to Json
- copy activity
- Copy data from SQL server to blob storage
- Data Factory
- Data Factory tutorial for beginners
- Data Flow
- data sets
- Encrypt Azure Data factory
- Install upgrade
- Integration Runtime
- JSON
- Mapping Data Flow
- mappings
- Parameters
- Pipeline
- REST API
- SQL
- SSIS
- SSMS
- what is data flow task
In this video, Austin walks through the basics of bringing data in to Azure Data Factory, creating a dataset to be able to point to data in a data lake, and turning on a data flow debug cluster to see a live view of our data.
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Easily capture source changes with ADF
An introduction to Azure Data Factory and Azure Synapse Analytics new feature for pipelines and data flows to automatically detect source changes.
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Ask the Expert: Azure Data Factory
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.
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Azure Data Factory, Azure Certification Changes and More
- Frank
- February 3, 2021
- A Cloud Guru
- ACG
- acloud guru
- acloudguru
- amazon web services
- AWS
- AWS This Week
- Azure
- Azure AI
- azure ai 102
- Azure Data Factory
- azure dp203
- azure etl
- azure python 3.9
- Azure This Week
- azure updates
- Cloud Computing
- Faye Ellis
- GCP
- GCP This Month
- Guru of the Week
- Lars Klint
- Linux Academy
- Microsoft
- Ryan Kroonenburg
- Sam Kroonenburg
- sql server integration service
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 […]
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Getting Started with Azure Data Factory
In this live stream, Andy Leonard shows you how to get started with Azure Data Factory.
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Great Azure Data Factory Tour
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
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What is Azure Synapse Analytics?
- Frank
- December 9, 2020
- analytics db
- Azure
- Azure Analysis Services
- azure cosmos db
- Azure Data Factory
- Azure Data Warehouse
- Azure SQL Data Warehouse
- Azure Stream Analytics
- Azure Synapse
- azure synapse vs snowflake
- Azure: Analytics
- Big Data
- Big Data analytics
- data ware house
- Data Warehouse
- data warehouse software
- enterprise data warehousing
- Machine Learning
- Microsoft
- Microsoft Power BI
- Power BI
- query data
- SQL Data Warehouse
- SQL DW
- Synapse
- synapse download
- synapse software
Azure Synapse is now generally available! Microsoft Mechanics explains why this is a game changer for analytics.
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Comparing Azure Synapse, Snowflake and Databricks for Common Data Workloads
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.
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Where does Azure Data Explorer fit in the Azure Data Platform?
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 […]
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Should You Use Azure Data Factory or Synapse Workspaces?
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 […]
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