# Azure Synapse Analytics

> Chapter 93 of the Courseiva AZ-900 curriculum — https://courseiva.com/learn/az-900/azure-synapse

**Official objective:** 2.4 — Azure Architecture Services

## Introduction

This chapter covers Azure Synapse Analytics. AZ-900 tests under 2.4.

## An Analytics Powerhouse

A traditional data warehouse handles structured analytics. Synapse combines data warehousing, big-data analytics, and integration in one platform.

## Core explanation

Synapse integrates data warehousing (SQL) and big-data (Spark) analytics in a single platform, supporting both traditional BI and exploratory analytics on massive data.

## Real-world context

An organization runs SQL analytics on structured data and Spark jobs on raw logs in the same Synapse workspace.

## Exam focus

Objective 2.4 expects understanding of Synapse as an integrated analytics platform.

## Step by step

1. **Ingest data** — Data flows into Synapse.
2. **Process with SQL or Spark** — Queries or Spark jobs analyze the data.
3. **Visualize results** — Results are visualized for insights.

## Key takeaways

- Synapse combines SQL and Spark analytics.
- Single integrated platform.
- Scales to massive data volumes.

## FAQ

**What is Azure Synapse Analytics?**

It's an integrated analytics platform combining data warehousing (SQL) and big-data (Spark) capabilities in one service.

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Interactive version with quiz and diagrams: https://courseiva.com/learn/az-900/azure-synapse