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Limitless Analytics with Azure Synapse : An End-To-end Analytics Service for Data Processing, Management, and Ingestion for BI and ML Requirements by Prashant Kumar Mishra and Mukesh Kumar (2021, Trade Paperback)
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About this product
Product Identifiers
PublisherPackt Publishing, The Limited
ISBN-101800205651
ISBN-139781800205659
eBay Product ID (ePID)18050399605
Product Key Features
Publication Year2021
SubjectData Modeling & Design, General, Databases / Data Warehousing, Databases / General
Number of Pages392 Pages
Publication NameLimitless Analytics with Azure Synapse : An End-To-end Analytics Service for Data Processing, Management, and Ingestion for BI and ML Requirements
LanguageEnglish
TypeTextbook
Subject AreaMathematics, Computers
AuthorPrashant Kumar Mishra, Mukesh Kumar
FormatTrade Paperback
Additional Product Features
Dewey Edition23
Dewey Decimal005.7
SynopsisLeverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your data Key Features: Learn to ingest, prepare, manage, and serve data for immediate business requirements Bring enterprise data warehousing and big data analytics together to gain insights from your data Develop end-to-end analytics solutions using Azure Synapse Book Description: Azure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform. The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features. By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks. What You Will Learn: Explore the necessary considerations for data ingestion and orchestration while building analytical pipelines Understand pipelines and activities in Synapse pipelines and use them to construct end-to-end data-driven workflows Query data using various coding languages on Azure Synapse Focus on Synapse SQL and Synapse Spark Manage and monitor resource utilization and query activity in Azure Synapse Connect Power BI workspaces with Azure Synapse and create or modify reports directly from Synapse Studio Create and manage IP firewall rules in Azure Synapse Who this book is for: This book is for data engineers, IT professionals, business analysts, data scientists, and database administrators who are looking to get up and running with the Azure Synapse Analytics platform. Basic knowledge of data warehousing will be beneficial to help you understand the concepts covered in this book more effectively., Leverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your dataKey Features* Learn to ingest, prepare, manage, and serve data for immediate business requirements* Bring enterprise data warehousing and big data analytics together to gain insights from your data* Develop end-to-end analytics solutions using Azure SynapseBook DescriptionAzure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform.The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features.By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks.What you will learn* Explore the necessary considerations for data ingestion and orchestration while building analytical pipelines* Understand pipelines and activities in Synapse pipelines and use them to construct end-to-end data-driven workflows* Query data using various coding languages on Azure Synapse* Focus on Synapse SQL and Synapse Spark* Manage and monitor resource utilization and query activity in Azure Synapse* Connect Power BI workspaces with Azure Synapse and create or modify reports directly from Synapse Studio* Create and manage IP firewall rules in Azure SynapseWho this book is forThis book is for data architects, data scientists, data engineers, and business analysts who are looking to get up and running with the Azure Synapse Analytics platform. Basic knowledge of data warehousing will be beneficial to help you understand the concepts covered in this book more effectively.
LC Classification NumberQA76.9.B45
