Microsoft PL-400: Application Lifecycle Management That Holds Together
Power Platform solutions are easy to change and surprisingly easy to break when teams treat development, test, and production as interchangeable places…
Read articleDATA & INTELLIGENCE
Data & Analytics
Build knowledge of data engineering, Microsoft Fabric, Databricks, BI, analytics and databases.
Modern data platforms succeed when information remains trustworthy from ingestion through transformation, modeling and consumption. Partitioning, governance, lineage, semantic models and operational monitoring shape both cost and reliability. Product features matter, but decisions about consistency and ownership often matter more.
Microsoft Power BI Data Analyst (PL-300) focuses on analytical modeling and reporting. Microsoft Fabric Data Engineer (DP-700) addresses data engineering workflows, while Databricks Certified Data Engineer Associate emphasizes the design and operation of data solutions on Databricks. These represent complementary perspectives rather than an automatic progression sequence.
CURATED FROM THE EDITORIAL LIBRARY
Explore the articles
Carefully selected articles on the technologies, roles and concepts that shape this subject.
Microsoft PL-400: Extending Power Platform Without Losing Control
The phrase “low-code platform” can tempt teams into treating customization as simple until it becomes a sprawling collection of scripts, connectors, code…
Read articleMicrosoft PL-400: Dataverse Design and Server-Side Logic
Dataverse development is not simply a matter of adding columns until a Power App displays the requested screen. A production solution needs…
Read articleMicrosoft DP-750: DevOps for Databricks Data Products
A Databricks notebook that works in one engineer’s development workspace is not automatically a production data product. It may depend on a…
Read articleMicrosoft DP-750: Reliable Lakeflow Pipelines
A reliable data pipeline does more than finish on schedule. It ingests expected data, handles duplicates and late events, enforces quality rules,…
Read articleMicrosoft DP-750: Designing Data Models in Unity Catalog
In Azure Databricks, data modeling is inseparable from governance. A table design that makes a dashboard fast may create a privacy problem…
Read articleLakeflow Pipeline Design: Reliable Data Products in Databricks
A data pipeline is not production-ready because a notebook completes successfully when run by its creator. It must handle changing source volume,…
Read articleFabric Workspace Governance That Survives Team Growth
In DP-600 analytics engineering, governance and lifecycle practices make semantic models trustworthy. The easiest way to start in Microsoft Fabric is often…
Read articleMicrosoft AB-410: Integrating Power Platform Apps Without Losing Control
A field-service company builds a Power Apps request form, a Dataverse record and a Power Automate flow that assigns technicians. The first…
Read articleGoogle Professional Data Engineer: Designing Reliable Data Pipelines
A retailer wants to combine daily sales files, near-real-time inventory events and customer-support data into trustworthy reports. One team proposes loading everything…
Read articleGoogle Professional Data Engineer: Designing BigQuery for Real Workloads
BigQuery architecture becomes difficult when a dataset has to be fast, affordable, auditable, and usable by several teams with different expectations. For…
Read articleGoogle Professional Data Engineer: Making Streaming Pipelines Reliable
Real-time dashboards often fail for reasons that have little to do with raw message throughput. Events arrive late, an upstream client retries…
Read articleFURTHER EXPLORATION
Other perspectives
Explore related disciplines across the editorial library.
Understand the subject. Connect it with a meaningful next step.
All Insights