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{ "item_title" : "Azure Synapse Analytics", "item_author" : [" Abhishek Kumar "], "item_description" : "Struggling to learn Azure Synapse Analytics and land a high-paying data engineering job?This complete hands-on guide is your step-by-step roadmap to mastering Azure Synapse Analytics, from fundamentals to advanced real-world applications.Whether you are a beginner, QA engineer, data analyst, or aspiring data engineer, this book will help you build job-ready skills using practical examples, real projects, and industry best practices.Inside this book, you will learn: Azure Synapse Workspace and ArchitectureData Integration and Pipelines (ETL and ELT)SQL Analytics (Dedicated and Serverless SQL Pools)Big Data Processing with Apache SparkData Visualization using Power BISecurity, Governance, and DevOpsReal-World Projects and Case StudiesPerformance Optimization and Cost ManagementDP-203 Certification Preparation GuideWhat makes this book different?Unlike many theoretical guides, this book focuses on real-world implementation, hands-on projects, and interview preparation so you can apply what you learn immediately.By the end of this book, you will be able to: Build end-to-end data pipelinesProcess large-scale data using SparkDesign scalable data warehousesCreate professional dashboardsOptimize performance and reduce costsPrepare for Azure Data Engineer interviewsWho is this book for?Beginners in Data EngineeringQA Engineers transitioning to data rolesData Analysts and BI DevelopersStudents preparing for DP-203 certificationIf you want to master Azure Synapse Analytics and unlock high-paying data engineering opportunities, this book provides a complete and practical roadmap.Start your journey today and become a job-ready Azure Data Engineer.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/825/505/9798255052639_b.jpg", "price_data" : { "retail_price" : "21.99", "online_price" : "21.99", "our_price" : "21.99", "club_price" : "21.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Azure Synapse Analytics|Abhishek Kumar

Azure Synapse Analytics : The Complete Data Engineering Guide with SQL, Spark, Pipelines & Power BI (Hands-On Projects + DP-203 Prep

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Overview

Struggling to learn Azure Synapse Analytics and land a high-paying data engineering job?

This complete hands-on guide is your step-by-step roadmap to mastering Azure Synapse Analytics, from fundamentals to advanced real-world applications.

Whether you are a beginner, QA engineer, data analyst, or aspiring data engineer, this book will help you build job-ready skills using practical examples, real projects, and industry best practices.

Inside this book, you will learn:

  • Azure Synapse Workspace and Architecture
  • Data Integration and Pipelines (ETL and ELT)
  • SQL Analytics (Dedicated and Serverless SQL Pools)
  • Big Data Processing with Apache Spark
  • Data Visualization using Power BI
  • Security, Governance, and DevOps
  • Real-World Projects and Case Studies
  • Performance Optimization and Cost Management
  • DP-203 Certification Preparation Guide

What makes this book different?

Unlike many theoretical guides, this book focuses on real-world implementation, hands-on projects, and interview preparation so you can apply what you learn immediately.

By the end of this book, you will be able to:

  • Build end-to-end data pipelines
  • Process large-scale data using Spark
  • Design scalable data warehouses
  • Create professional dashboards
  • Optimize performance and reduce costs
  • Prepare for Azure Data Engineer interviews

Who is this book for?

  • Beginners in Data Engineering
  • QA Engineers transitioning to data roles
  • Data Analysts and BI Developers
  • Students preparing for DP-203 certification

If you want to master Azure Synapse Analytics and unlock high-paying data engineering opportunities, this book provides a complete and practical roadmap.

Start your journey today and become a job-ready Azure Data Engineer.

This item is Non-Returnable

Details

  • ISBN-13: 9798255052639
  • ISBN-10: 9798255052639
  • Publisher: Independently Published
  • Publish Date: April 2026
  • Dimensions: 9 x 6 x 0.3 inches
  • Shipping Weight: 0.43 pounds
  • Page Count: 140

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