Best Practices for Using Data Fabric Workspaces + Git
Effective management of data pipelines is key to ensuring continuous development, testing, and deployment processes. Integrating Git with Microsoft Fabric workspaces offers a…
Topic
Azure
🚀 Continuous Integration and Continuous Delivery (CI/CD) in Azure Data Factory! 🔁✨
CI is the practice of automatically testing every code change, while CD deploys those changes to staging or production systems. In Azure Data Factory, CI/CD involves moving pipelines between…
🔵✨ Azure Data Factory and Azure Databricks Best Practices ✨🔵
Hello everyone, this week we’ll go over some best practices for a data ingestion pipeline:
🚀 Key Differences Between Azure Synapse and Databricks
Hi everyone, in this article I’ll talk a bit about these data platforms.
Azure Synapse Analytics vs Microsoft Fabric: How About Another Migration Project?
In May 2023, Microsoft announced Microsoft Fabric. This new solution extends the integration promise made in Azure Synapse Analytics to cover every analytics workload, and it can be used…
Big Data Architecture: Choose the Right Plumbing for Your Pipelines
Last week, I wrote an article about data pipelines (check it out here) covering the main characteristics of a robust and optimized build, ideally using a…
Big Data: On Premise vs Cloud Computing - A Market View and a Starter Study Guide
For some years now, companies all over the world have been tapping into the immense value Big Data can add to their business. Implementing Big Data ecosystems is a reality in both the global and the Brazilian market. With ever…
Databricks: The Swiss Army Knife of Your Big Data Platform
Imagine a team made up of a SQL developer, a Python professional and a Scala contributor. They all work together to ingest data into your Datalake, your Datawarehouse or simply…