☁️ این کتاب یک مجموعه نزدیک به ۸۰ دستورالعمل عملی (recipe-based guide) برای طراحی و ساخت Data Engineering Pipelineها روی Microsoft Azure هست؛ هدفش اینه که داده‌ها رو از منابع مختلف جمع کنی، تبدیل کنی و در نهایت به یک منبع یکپارچه برای تحلیل تبدیل کنی.

🧠 تمرکز اصلی کتاب روی حل مسئله‌های واقعی در اکوسیستم Azure هست، نه صرفاً تئوری.

🚀 در این کتاب یاد میگیری

🏗️ ساخت کامل Data Pipeline از صفر روی Azure

📦 کار با Azure Data Lake برای ذخیره‌سازی داده

⚙️ طراحی ingestion pipeline با Azure Data Factory

🔄 پردازش و transformation داده با Azure Databricks و Synapse Analytics

🧠 استفاده از Synapse Spark Pools، SQL Serverless Pools و Data Flows

🗄️ بهینه‌سازی و مدیریت Azure SQL Database

📊 ساخت Serving Layer با Synapse SQL Pool

🔍 مانیتورینگ Pipelineها با Azure Monitor و Log Analytics

🧭 ردیابی lineage داده با Microsoft Purview

🔐 طراحی امنیت، High Availability و Performance tuning

📖 توضیحات کتاب

🧭 این کتاب به سبک cookbook نوشته شده؛ یعنی به‌جای توضیح طولانی تئوری، مجموعه‌ای از سناریوهای واقعی و قابل اجرا ارائه میده.

⚙️ هر دستورالعمل یک مشکل رایج در دنیای Data Engineering رو حل میکنه و نشون میده چطور با ابزارهای Azure اون رو پیاده‌سازی کنی.

☁️ تمرکز اصلی روی اینه که بتونی یک اکوسیستم داده‌ای کامل بسازی که هم قابل مقیاس باشه، هم امن، و هم قابل مانیتورینگ.

⚙️ درباره فناوری

🔥 این کتاب کل اکوسیستم داده Azure رو پوشش میده:

📦 Azure Data Lake برای ذخیره‌سازی

⚙️ Azure Data Factory برای orchestration

⚡ Azure Databricks برای پردازش

🧠 Azure Synapse Analytics برای تحلیل یکپارچه

📊 Power BI برای visualization

🔍 Azure Monitor و Log Analytics برای observability

🧭 Microsoft Purview برای data governance

📚 درباره کتاب

💡 این کتاب فقط ابزار آموزش نمیده، بلکه بهت یاد میده چطور اجزای مختلف Azure رو کنار هم بذاری و یک سیستم داده‌ای واقعی و production-ready طراحی کنی.

🧩 همچنین روی جنبه‌های عملی مثل performance tuning، security و monitoring هم تمرکز جدی داره.

🔥 محتویات اصلی کتاب

📦 مدیریت داده در Azure Data Lake

🔐 امنیت و مانیتورینگ Data Lake

⚙️ Data Ingestion با Azure Data Factory

⚡ پردازش داده با Databricks

🧠 تحلیل با Synapse Analytics

🔄 Data Transformation با Data Flows

📊 ساخت Serving Layer با SQL Pool

🔍 مانیتورینگ و بهینه‌سازی سیستم

🧭 Data Lineage با Microsoft Purview

👥 این کتاب برای چه کسانی مناسبه؟

💻 برای Data Engineerها، Data Architectها و DBAهایی که میخوان روی اکوسیستم Azure به‌صورت حرفه‌ای کار کنن.

👨‍🏫 درباره نویسندگان

🧠 ناگارج ونکاتسان یک Cloud Solution Architect در Microsoft هست که روی پروژه‌های داده‌ای در مقیاس بزرگ برای شرکت‌های بین‌المللی کار میکنه.

🏗️ او تجربه زیادی در طراحی راهکارهای Data Engineering روی Azure داره و در جامعه Data & AI به‌عنوان سخنران فعال شناخته میشه.

🎓 احمد اسامه یک Technical Architect و سابقه MVP مایکروسافت داره که روی SQL Server، سیستم‌های OLTP و اتوماسیون دیتابیس‌ها کار کرده و تجربه عملی زیادی در محیط‌های enterprise داره.

Nearly 80 recipes to help you collect and transform data from multiple sources into a single data source, making it way easier to perform analytics on the data

Key Features

• Build data pipelines from scratch and find solutions to common data engineering problems
• Learn how to work with Azure Data Factory, Data Lake, Databricks, and Synapse Analytics
• Monitor and maintain your data engineering pipelines using Log Analytics, Azure Monitor, and Azure Purview

Book Description

The famous quote 'Data is the new oil' seems more true every day as the key to most organizations' long-term success lies in extracting insights from raw data. One of the major challenges organizations face in leveraging value out of data is building performant data engineering pipelines for data visualization, ingestion, storage, and processing. This second edition of the immensely successful book by Ahmad Osama brings to you several recent enhancements in Azure data engineering and shares approximately 80 useful recipes covering common scenarios in building data engineering pipelines in Microsoft Azure.

You'll explore recipes from Azure Synapse Analytics workspaces Gen 2 and get to grips with Synapse Spark pools, SQL Serverless pools, Synapse integration pipelines, and Synapse data flows. You'll also understand Synapse SQL Pool optimization techniques in this second edition. Besides Synapse enhancements, you'll discover helpful tips on managing Azure SQL Database and learn about security, high availability, and performance monitoring. Finally, the book takes you through overall data engineering pipeline management, focusing on monitoring using Log Analytics and tracking data lineage using Azure Purview.

By the end of this book, you'll be able to build superior data engineering pipelines along with having an invaluable go-to guide.

What you will learn

• Process data using Azure Databricks and Azure Synapse Analytics
• Perform data transformation using Azure Synapse data flows
• Perform common administrative tasks in Azure SQL Database
• Build effective Synapse SQL pools which can be consumed by Power BI
• Monitor Synapse SQL and Spark pools using Log Analytics
• Track data lineage using Microsoft Purview integration with pipelines

Who this book is for

This book is for data engineers, data architects, database administrators, and data professionals who want to get well versed with the Azure data services for building data pipelines. Basic understanding of cloud and data engineering concepts will help in getting the most out of this book.

Table of Contents

1. Creating and Managing Data in Azure Data Lake
2. Securing and Monitoring Data in Azure Data Lake
3. Building Data Ingestion Pipelines Using Azure Data Factory
4. Azure Data Factory Integration Runtime
5. Configuring and Securing Azure SQL Database
6. Implementing High Availability and Monitoring in Azure SQL Database
7. Processing Data Using Azure Databricks
8. Processing Data Using Azure Synapse Analytics
9. Transforming Data Using Azure Synapse Dataflows
10. Building the Serving Layer in Azure Synapse SQL Pool
11. Monitoring Synapse SQL and Spark Pools
12. Optimizing and Maintaining Synapse SQL and Spark Pools
13. Monitoring and Maintaining Azure Data Engineering Pipelines

Review

"A great resource if you're ready to dive into all the components for ingesting, working with, and forming applications for Big Data projects. The cookbook approach shows both graphical and command-line topics that you need without cluttering your time for concepts and theory."

Buck Woody, Principal Applied Data Scientist at Microsoft

"This book avoids hype around the latest buzzwords in the data industry and simply shows you how to tackle specific challenges in the azure data ecosystem. You'll find a bunch of valuable "how to do it" solutions for different areas of the Azure data platform, such as ADLS, ADF, Azure SQL DB, Azure Databricks, and synapse.

It's not just "how to do it" but also "how it works", which gives you a better understanding of the concepts and processes happening behind the scenes."

Nikola Ilic, Microsoft Data Platform MVP, Microsoft Certified Trainer

About the Author

Nagaraj Venkatesan works as a cloud solution architect at Microsoft. At Microsoft, he works with some of the largest companies in the world, solving their complex data engineering problems and helping them build effective solutions using cutting-edge technologies based on Azure. Nagaraj, based out of Singapore, is a popular member of the data and AI community and is a regular speaker at several international data and AI conferences. He is a two-time Microsoft Most Valuable Professional (MVP) award winner, in 2016 and 2017. Nagaraj shares his technical expertise through his blog and on his YouTube channel called DataChannel. He also holds a master’s degree in computing from the National University of Singapore.

Ahmad Osama works for Pitney Bowes Pvt. Ltd. as a technical architect and is a former Microsoft Data Platform MVP. In his day job, he works on developing and maintaining high performant, on-premises and cloud SQL Server OLTP environments as well as deployment and automating tasks using PowerShell. When not working, Ahmad blogs at DataPlatformLabs and can be found glued to his Xbox.