English | 2022 | ISBN: 1803231505 | 238 pages | True PDF EPUB | 37.73 MB

Whether you're an Azure veteran or just getting started, get the most out of your data with effective recipes for Azure Synapse

Key Features

Discover new techniques for using Azure Synapse, regardless of your level of expertise

Integrate Azure Synapse with other data sources to create a unified experience for your analytical needs using Microsoft Azure

Learn how to embed data governance and classification with Synapse Analytics by integrating Azure Purview

Book Description

As data warehouse management becomes increasingly integral to successful organizations, choosing and running the right solution is more important than ever. Microsoft Azure Synapse is an enterprise-grade, cloud-based data warehousing platform, and this book holds the key to using Synapse to its full potential. If you want the skills and confidence to create a robust enterprise analytical platform, this cookbook is a great place to start.

You'll learn and execute enterprise-level deployments on medium-to-large data platforms. Using the step-by-step recipes and accompanying theory covered in this book, you'll understand how to integrate various services with Synapse to make it a robust solution for all your data needs. Whether you're new to Azure Synapse or just getting started, you'll find the instructions you need to solve any problem you may face, including using Azure services for data visualization as well as for artificial intelligence (AI) and machine learning (ML) solutions.

By the end of this Azure book, you'll have the skills you need to implement an enterprise-grade analytical platform, enabling your organization to explore and manage heterogeneous data workloads and employ various data integration services to solve real- industry problems.

What you will learn

Discover the optimal approach for loading and managing data

Work with notebooks for various tasks, including ML

Run real- analytics using Azure Synapse Link for Cosmos DB

Perform exploratory data analytics using Apache Spark

Read and write DataFrames into Parquet files using PySpark

Create reports on various metrics for monitoring key KPIs

Combine Power BI and Serverless for distributed analysis

Enhance your Synapse analysis with data visualizations

Who this book is for

This book is for data architects, data eeers, and developers who want to learn and understand the main concepts of Azure Synapse analytics and implement them in real-world scenarios.

Table of Contents

Choosing the Optimal Method for Loading Data to Synapse

Creating Robust Data Pipelines and Data Transformation

Processing Data Optimally across Multiple Nodes

Eeering Real- Analytics with Azure Synapse Link Using Cosmos DB

Data Transformation and Processing with Synapse Notebooks

Enriching Data Using the Azure ML AutoML Regression Model

Visualizing and Reporting Petabytes of Data

Data Cataloging and Governance

MPP Platform Migration to Synapse