DATA & 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.

TECHNOLOGY & CERTIFICATIONS

Microsoft PL-300: Visual Design

Visual design in PL-300 is not a decoration topic. The current exam measures visual selection, formatting, themes, conditional formatting, slicing and filtering,…

Read article

TECHNOLOGY & CERTIFICATIONS

Microsoft PL-300: Data Modeling

Data modeling is the structural core of PL-300. The current exam expects candidates to configure relationships, cardinality and cross-filter direction, build role-playing…

Read article

FURTHER EXPLORATION

Other perspectives

Explore related disciplines across the editorial library.

Understand the subject. Connect it with a meaningful next step.
All Insights