The Varigence Blog

Tag - DataFlowMapping

Dev Diary - Initial Extension Points added to Mapping Data Flows

Written by Roelant Vos on 5.26.2022

As part of ongoing improvements for our Mapping Data Flows feature, we are adding the first (of many) extension points.

Dev Diary - Customizing file paths for Delta Lake

Written by Roelant Vos on 2.14.2022

It is now possible to configure specific directory structures for your Delta Lake using BimlFlex.

Dev Diary - Connecting to unsupported data sources using Mapping Data Flows and BimlFlex

Written by Roelant Vos on 2.4.2022

Loading data from unsupported data sources in Mapping Data Flows

Dev Diary - Adding Transformations to Mapping Data Flows

Written by Roelant Vos on 2.1.2022

BimlFlex will soon support custom transformations to be generated for Mapping Data Flows.

Dev Diary – Generating a Mapping Data Flow Staging process without a Persistent Staging Area

Written by Roelant Vos on 11.25.2021

A real-world data solution often requires a combination of many different data loading patterns. Using BimlFlex, these patterns are applied by configuring the design to work in certain ways. This post shows how to configure BimlFlex to achieve different Staging pattern outcomes.

Dev Diary - First look at a source-to-staging pattern in Mapping Data Flows

Written by Roelant Vos on 9.19.2021

With the 2021 BimlFlex release nearing completion, it's time to take a closer look at the patterns for Mapping Data Flows that will be made available in preview.

Dev Diary - Integration with the BimlCatalog

Written by Roelant Vos on 9.15.2021

Every data solution benefits from a robust control framework for data logistics. One that manages if, how and when individual data logistics processes should be executed. A control framework also provides essential information to complete the audit trail of how data is processed through the system and is ultimately made available to users. BimlFlex provides the BimlCatalog for this.

Dev Diary – Orchestrating Mapping Data Flows

Written by Roelant Vos on 9.7.2021

In Azure, a Mapping Data Flow itself is not an object that can be executed directly. Instead, it needs to be called from an Execute Pipeline. This pipeline can be run, and in turn it will start the data flow. BimlFlex has advanced features to manage this.

Dev Diary – Defining Mapping Data Flow Parameters with Biml

Written by Roelant Vos on 8.31.2021

BimlFlex output uses Parameters at Mapping Data Flow level to integrate with the BimlCatalog and store metadata for use inside the data flow. This post explains how to set this up in Biml.

Dev Diary - Deploying Biml-Generated ADF Data Flow Mappings

Written by Roelant Vos on 8.18.2021

BimlStudio can translate Biml into Data Flow Mappings, and this post looks into the deployment and results in Azure Data Factory.

Dev Diary - Generating ADF Data Flow Mapping using Biml

Written by Roelant Vos on 8.18.2021

In this first dev diary post we show the basic Biml syntax to create Data Flow Mappings for Azure Data Factory

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