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Michal Molka
Michal Molka

219 Followers

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May 26

Azure Data Factory pass a parameter from a parent pipeline to a child pipeline

Here is a short instruction how to pass a parameter from a parent pipeline into a child pipeline. Go to an ADF and create three pipelines: [ParentPipeline] — a parent pipeline, [InvokeChildPipeline01] — a child pipeline, [InvokeChildPipeline02] — a child pipeline.

Azure Data Factory

2 min read

Azure Data Factory pass a parameter from a parent pipeline to a child pipeline
Azure Data Factory pass a parameter from a parent pipeline to a child pipeline
Azure Data Factory

2 min read


May 12

Pass an Azure Data Factory variable into a Databricks notebook

It is a common pattern that you design an entire ETL/ELT solution inside Databricks notebooks and use Azure Data Factory to orchestrate an entire process. Today we will investigate how to pass an ADF parameter/variable into a Databricks notebook. A link to a code repository is placed at the end…

Azure Data Factory

2 min read

Pass an Azure Data Factory variable into a Databricks notebook
Pass an Azure Data Factory variable into a Databricks notebook
Azure Data Factory

2 min read


Apr 28

Azure Synapse Data Explorer and KQL

When you think about logs in an Azure context you say Log Analytics Workspace. There is another option baked in Azure Synapse, Synapse Data Explorer. A link to a code repository is placed at the end of the article. The first thing you need to do is creating a Data…

Kql

4 min read

Azure Synapse Data Explorer and KQL
Azure Synapse Data Explorer and KQL
Kql

4 min read


Apr 14

Power BI — hybrid tables

If you want to speed up your tables refresh process you can partition a table. Then update only partitions where data has been changed. Power BI offers more convenient way to do this process — Hybrid tables. After you imported a table. Set two parameters a [RangeStart] and a [RangeEnd]…

Power Bi

2 min read

Power BI — hybrid tables
Power BI — hybrid tables
Power Bi

2 min read


Mar 31

Power BI Datamart — an overview

Since Microsoft introduced a Datamart we can say that Power BI ecosystem is a full cloud experience. Power BI Desktop in the cloud I can state. How it works? Once you create and open a Datamart you are welcomed by well-known ribbon where you can work with data.

Power Bi Service

3 min read

Power BI Datamart — an overview
Power BI Datamart — an overview
Power Bi Service

3 min read


Mar 17

Power BI — a field parameter

A while ago I showed how to hide/insert a measure through a slicer. Here is the post: Power BI — show and hide measures on slicer and visual Microsoft has published a baked in functionality Field Parameter, so we don’t need to use workarounds and entire process is much simplified…

Power Bi

2 min read

Power BI — a field parameter
Power BI — a field parameter
Power Bi

2 min read


Mar 3

Power BI — deployment pipelines — auto-binding and deployment rules

In that short post I descripted Power BI deployment pipelines. Power BI — deployment pipelines Today I show you how to manage a dataset connection using parameters and Deployment Rules. There are 6 workspaces: 3 for reports and 3 for datasets and they are split into 3 stages: DEV, INT…

Power Bi

3 min read

Power BI — deployment pipelines — auto-binding and deployment rules
Power BI — deployment pipelines — auto-binding and deployment rules
Power Bi

3 min read


Feb 17

Databricks MLflow — Python API — a few examples

This post is a previous one continuation: Databricks MLflow — manage models Without further ado, here are a few examples of using MLflow Python API. An easy way to remove a run or an experiment.

Mlflow

2 min read

Databricks MLflow — Python API a few examples
Databricks MLflow — Python API a few examples
Mlflow

2 min read


Feb 3

Databricks MLflow — manage models

Let’s assume that you have you data prepared and you want to use MLflow to manage and use you ML model. First step is to set an experiment.

Databricks

3 min read

Databricks MLflow — manage models
Databricks MLflow — manage models
Databricks

3 min read


Jan 20

Databricks — SQL Warehouses

Today, I would like to do a short intro about Databricks SQL Warehouses (formerly SQL endpoint). What is it? Simply, a place where you can work with hive tables through SQL. I can highlight three main functionalities: work with data through SQL, create dashboards/visualizations and alerts based on your data. …

Databricks

3 min read

Databricks — SQL Warehouses
Databricks — SQL Warehouses
Databricks

3 min read

Michal Molka

Michal Molka

219 Followers

Azure | Power BI Engineer

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