๐๐๐๐ซ๐ง ๐๐ณ๐ฎ๐ซ๐ ๐๐ฒ๐ง๐๐ฉ๐ฌ๐ ๐๐๐ญ๐ ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐๐ซ book review
If you are looking for a comprehensive guide to Azure Synapse Data Explorer, you need to read this book written by Peri Rocha
๐๐ณ๐ฎ๐ซ๐ ๐๐ฒ๐ง๐๐ฉ๐ฌ๐ ๐๐๐ญ๐ ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐๐ซ is a powerful service designed for fast and highly scalable data exploration for telemetryย and log data.
It empowers organizations to efficiently collect, store, and analyze massive data generated daily from applications, websites, devices, and various semi-structured data sources.
๐This book dives into the capabilities of ๐๐ณ๐ฎ๐ซ๐ ๐๐ฒ๐ง๐๐ฉ๐ฌ๐ ๐๐๐ญ๐ ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐๐ซ, covering the whole life cycle to implement advanced analytical scenarios from raw telemetry and log data, starting from data ingestion through data visualization and advanced analytics
๐Very helpful to maximize the value of unstructured data and drive powerful insights
โ
The first part of the book ๐ข๐ง๐ญ๐ซ๐จ๐๐ฎ๐๐๐ฌ ๐๐ณ๐ฎ๐ซ๐ ๐๐ฒ๐ง๐๐ฉ๐ฌ๐ ๐๐๐ญ๐ ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐๐ซ providing an overview of the product and covering the the essential basics needed before diving into practical work. It also explains the architecture and infrastructure of Azure Data Explorer Pool.
In this part, we find detailed steps on how to create your ๐๐ข๐ซ๐ฌ๐ญ ๐๐๐ญ๐ ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐๐ซ ๐๐จ๐จ๐ฅ .
Additionally, we can ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐ ๐๐ณ๐ฎ๐ซ๐ ๐๐ฒ๐ง๐๐ฉ๐ฌ๐ ๐๐ญ๐ฎ๐๐ข๐จ and its functionalities with ๐ซ๐๐๐ฅ-๐ฐ๐จ๐ซ๐ฅ๐ ๐ฎ๐ฌ๐๐ ๐ ๐ฌ๐๐๐ง๐๐ซ๐ข๐จ๐ฌ that describe the data load process into the Data Explorer Pool.
โ
Moving on to the second part, we can find an in-depth coverage of ๐๐ผ๐ฟ๐ธ๐ถ๐ป๐ด ๐๐ถ๐๐ต ๐ฑ๐ฎ๐๐ฎ extremely useful. The guidance on the data loading process, including ๐๐๐ญ๐ ๐ข๐ง๐ ๐๐ฌ๐ญ๐ข๐จ๐ง ๐ข๐ง๐ญ๐จ ๐๐๐ญ๐ ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐๐ซ ๐๐จ๐จ๐ฅ๐ฌ, and ๐๐๐ญ๐ ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐๐ญ๐ข๐จ๐ง ๐๐ง๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ ๐ฎ๐ฌ๐ข๐ง๐ KQL andย Python.
๐Iย appreciated the comprehensive resources available to learn how to use KQL in order to explore data and identify trends..
One standout chapter in the book focused on ๐๐๐ญ๐ ๐๐ข๐ฌ๐ฎ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง ๐ฐ๐ข๐ญ๐ก ๐๐จ๐ฐ๐๐ซ ๐๐. It illustrated the integration between Power BI and Azure Synapse, demonstrating how to connect reports to Data Explorer Pools.
Additionally, the chapter explored the ๐๐จ๐ง๐ฌ๐ญ๐ซ๐ฎ๐๐ญ๐ข๐จ๐ง ๐จ๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ฑ๐ฉ๐๐ซ๐ข๐ฆ๐๐ง๐ญ๐ฌ using automated #AutoML, which opened up new possibilities for advanced analytics.
โ
In the last part of the book, the focus shifted towards ๐ฆ๐๐ง๐๐ ๐ข๐ง๐ ๐๐ง๐ ๐ฆ๐จ๐ง๐ข๐ญ๐จ๐ซ๐ข๐ง๐ ๐๐ณ๐ฎ๐ซ๐ ๐๐ฒ๐ง๐๐ฉ๐ฌ๐ ๐๐๐ญ๐ ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐๐ซ. The chapters cover various aspects such as setting alerts, system monitoring, diagnostics, tuning, resource management, securing the environment, and advanced data management.
This book is an indispensable resource in mastering Azure Synapse Data Explorer. The organised structure, detailed explanations and practical examples can greatly enhance your understanding and proficiency with this tool.