Azure Synapse Analytics Cookbook: Implement a limitless analytical platform using effective recipes for Azure Synapse
暫譯: Azure Synapse Analytics 食譜：使用有效的食譜實現無限的分析平台
Agarwal, Gaurav, Muralidharan, Meenakshi
- 出版商: Packt Publishing
- 出版日期: 2022-04-29
- 售價: $1,840
- 貴賓價: 9.5 折 $1,748
- 語言: 英文
- 頁數: 238
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1803231505
- ISBN-13: 9781803231501
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相關分類:
Microsoft Azure
海外代購書籍(需單獨結帳)
商品描述
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-time 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-time 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 engineers, and developers who want to learn and understand the main concepts of Azure Synapse analytics and implement them in real-world scenarios.
商品描述(中文翻譯)
無論您是 Azure 的老手還是剛開始接觸，透過有效的食譜來充分利用您的數據，掌握 Azure Synapse。
主要特點
- 發現使用 Azure Synapse 的新技術，無論您的專業水平如何
- 將 Azure Synapse 與其他數據來源整合，使用 Microsoft Azure 創建統一的分析體驗
- 通過整合 Azure Purview，學習如何在 Synapse Analytics 中嵌入數據治理和分類
書籍描述
隨著數據倉儲管理在成功組織中變得越來越重要，選擇和運行正確的解決方案比以往任何時候都更為重要。Microsoft Azure Synapse 是一個企業級的雲端數據倉儲平台，而這本書是充分利用 Synapse 的關鍵。如果您想獲得創建穩健企業分析平台的技能和信心，這本食譜是個很好的起點。
您將學習並執行中到大型數據平台上的企業級部署。通過本書中涵蓋的逐步食譜和相關理論，您將了解如何將各種服務與 Synapse 整合，使其成為滿足您所有數據需求的穩健解決方案。無論您是 Azure Synapse 的新手還是剛開始接觸，您都會找到解決任何問題所需的指導，包括使用 Azure 服務進行數據可視化以及人工智慧 (AI) 和機器學習 (ML) 解決方案。
在這本 Azure 書籍結束時，您將具備實施企業級分析平台所需的技能，使您的組織能夠探索和管理異構數據工作負載，並利用各種數據整合服務來解決實時行業問題。
您將學到什麼
- 發現加載和管理數據的最佳方法
- 使用筆記本進行各種任務，包括 ML
- 使用 Azure Synapse Link for Cosmos DB 執行實時分析
- 使用 Apache Spark 進行探索性數據分析
- 使用 PySpark 讀取和寫入 Parquet 文件中的 DataFrames
- 創建有關監控關鍵 KPI 的各種指標報告
- 結合 Power BI 和無伺服器架構進行分散式分析
- 通過數據可視化增強您的 Synapse 分析
本書適合誰
本書適合數據架構師、數據工程師和開發人員，旨在學習和理解 Azure Synapse 分析的主要概念並在實際場景中實施。
作者簡介
Gaurav Agarwal is a cloud solution architect at Microsoft India Corp. Ltd, working closely with Microsoft clients on Azure data and AI, Azure ML, big data, IoT, and Power BI. He has extensive experience in architecting and transforming data solutions for the modern cloud, and expertise in building large-scale enterprise data warehouse solutions.
Meenakshi Muralidharan leads modern data platforms and is a renowned chief architect for an Indian multinational information technology services and consulting company. She has extensive experience in building large scale data platforms and applications in Microsoft Azure.
作者簡介(中文翻譯)
Gaurav Agarwal 是微軟印度公司 (Microsoft India Corp. Ltd) 的雲端解決方案架構師，與微軟客戶密切合作，專注於 Azure 數據與人工智慧、Azure ML、大數據、物聯網 (IoT) 和 Power BI。他在現代雲端數據解決方案的架構設計與轉型方面擁有豐富的經驗，並且在構建大型企業數據倉儲解決方案方面具有專業知識。
Meenakshi Muralidharan 負責現代數據平台，是一家印度跨國資訊科技服務與諮詢公司的知名首席架構師。她在 Microsoft Azure 上構建大型數據平台和應用程式方面擁有豐富的經驗。
目錄大綱
1. Choosing the Optimal Method for Loading Data to Synapse
2. Creating Robust Data Pipelines and Data Transformation
3. Processing Data Optimally across Multiple Nodes
4. Engineering Real-time Analytics with Azure Synapse Link Using Cosmos DB
5. Data Transformation and Processing with Synapse Notebooks
6. Enriching Data Using the Azure ML AutoML Regression Model
7. Visualizing and Reporting Petabytes of Data
8. Data Cataloging and Governance
9. MPP Platform Migration to Synapse
目錄大綱(中文翻譯)
1. Choosing the Optimal Method for Loading Data to Synapse
2. Creating Robust Data Pipelines and Data Transformation
3. Processing Data Optimally across Multiple Nodes
4. Engineering Real-time Analytics with Azure Synapse Link Using Cosmos DB
5. Data Transformation and Processing with Synapse Notebooks
6. Enriching Data Using the Azure ML AutoML Regression Model
7. Visualizing and Reporting Petabytes of Data
8. Data Cataloging and Governance
9. MPP Platform Migration to Synapse
