Yesterday, we had an engaging session on Cloud Lunch and Learn meetup about Azure Architecture, particularly for Modern Analytics Cloud Data Platform with Warner Chaves.
Modern Analytics
In this post, I will reflect upon some major points in this presentation and architecting session.
Our guest speaker covered the following topics in his presentation:
Reference architecture for modern analytics platforms
Data Warehousing
Big Data
Lakehouse
Data Mesh and more in Microsoft Azure
Summary
At the end of the session, we had an interactive Q&A (Questions and Answers). Please check the recording and reference links as the recording is uploaded to the Cloud MarathonerYT channel.
Thank you for stopping by and checking this session!
Welcome to the 10th blog post (Part 10/12) of the Azure Architect series to help you get ready for the AZ-305 exam. This post finalizes the third section of this exam – Design Data Storage Solutions.
Our next post will be discussing the last section of this exam – Design Business Continuity Solutions.
And please feel free to check the previous blog posts listed below if you landed on this page for the first time 🙂
Table of content (blog series)
*** Design Identity, Governance, and Monitoring Solutions ***
It is very natural to wonder – “what is the meaning of data integration”? In a nutshell, it is a combination of differently sourced data for a high-level overview and analysis. In other words, “Data Integration” – is a common term referring to the requirement to combine data from multiple separate business systems into a single unified view, also known as a single view of the truth.
This unified view is typically stored in a central data repository known as a data warehouse.
Data integration can serve your organization some short- and long-term benefits, including the followings:
✔️ Better Data ✔️ Better Collaboration ✔️ Fast connections between Data Storage ✔️ Increased efficiency and ROI ✔️ Better customer and partner experiences ✔️ A more comprehensive view of your business
What are the Data Integration solutions in Microsoft Azure?
Application integration often requires connecting multiple independent systems, often in complex ways. This white paper explains how the components of Azure Integration Services—API Management, Logic Apps, Service Bus, and Event Grid—work together to provide a complete solution for integrating both cloud and on-premises applications.
There are several Azure services such as Azure Functions, Azure Data Factory, and Azure Logic Apps are just a few of the services that can help you efficiently solve complex data challenges.
Check out the Overview of Data Integration in Azure from this official resource.
Part 10: Design a data integration solution
The references below are taken from official Microsoft docs and focused on designing Data Integration solutions in Azure. You could also find it helpful to check the Microsoft docs and learning paths with [Tutorials] below 😉.
This collection of links is gathered with a focus on the exam objectives of the AZ-305 certification exam.
