Azure Data Factor V2 Now In General Availability

Kevin Feasel

2018-08-06

Cloud, ETL

Chris Seferlis covers some of the improvements in Azure Data Factory V2:

With ADF V2 you get a browser-based interface using drag and drop technology; V1 was primarily done in the Visual Studio IDE. It also added triggers for scheduling, so you can schedule your jobs when required and in additional ways (which I’ll discuss further in a bit).

Some other features of ADF V2 that came out as it became generally available:

  • Lift and Shift operations for your SSIS packages, so if you have SSIS packages local, you can now Lift and Shift those into compute with the integration runtime service in Data Factory.

  • This also allows for cloud to cloud, cloud to prem, prem to prem and some third-party tools are supported within that as well.

  • Control flow activities like link branching, looping, conditional execution and parameterization.

  • Integration with HD Spark and Databricks for big data workloads and data science.

There’s more where that came from, too.

Related Posts

The Uniqueness of Cosmos DB Unique Keys

Hasan Savran explains the scope of unique keys in Cosmos DB: I wrote about Unique Keys and tried to explain how they work in one of my earlier post. It’s common to use SQL Server’s Primary Key or Unique Indexes to explain Unique Keys of Azure Cosmos DB. If you have a Primary Key in a […]

Read More

The Databricks File System

Brad Llewellyn takes us through the Azure Databricks File System: Today, we’re going to talk about the Databricks File System (DBFS) in Azure Databricks.  If you haven’t read the previous posts in this series, Introduction, Cluster Creation and Notebooks, they may provide some useful context.  You can find the files from this post in our GitHub Repository.  Let’s move on […]

Read More

Categories

August 2018
MTWTFSS
« Jul Sep »
 12345
6789101112
13141516171819
20212223242526
2728293031