Welcome to WTA Insights – an end-to-end Azure Data Engineering project in step-by-step tutorials.
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Project Kickoff
An end-to-end Azure Data Engineering project that will walk you through various technologies and services in the Azure landscape. 🌊🐳🌊 Posts in the kickoff series: 1. Getting started with data ingineering 2. WTA Insights – project overview 3. Modern data architecture in Azure – Case study: WTA Insights 4. Setting things up – Azure Portal 5.…
ADF Series
Azure Data Factory (ADF) is Azure’s cloud-managed service for ETL and ELT processes. It is similar to SSIS, but in the cloud. ADF can connect to various data sources, on-premises or in the cloud. If the data you want to access is on-premises, you will need to configure a data management gateway to connect to…
Databricks Series
Azure Databricks is a cloud-based big data and machine learning platform based on Apache Spark. With fully managed Spark clusters, it can process large data workloads and supports APIs for R, SQL, Python, Scala and Java. Apache Spark is an open source, distributed computing environment, that can analyze big data using SQL (Spark SQL), machine…
Power BI Series
In this Power BI series we embark on the journey of telling the WTA story with data. 🎾🏆 We will learn how to load, combine and transform the data in Power Query, how to build a data model and write DAX measures. We will bring all these elements together in Power BI visuals and reports…
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