
Azure Data Engineering Cookbook
Description
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Persons
Luca Zanna is a Data Engineer and Data Analyst with over 15 years of experience. He started his career as financial data analyst after a Master in Management and passing the Certified Public Accountant (CPA) exam. Luca spent a decade working on financial analysis systems at L'Oreal: developing the systems and training financial analysts across Europe and Asia. Currently, Luca helps companies with building data infrastructure to better leverage their data. Luca is also a corporate teacher for topics such as data analysis, SQL, Python, and cloud data engineering.Venkatesan Nagaraj :
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.Osama Ahmad :
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.
Content
Creating and Managing Data in Azure Data Lake
Securing and Monitoring Data in Azure Data Lake
Building Data Ingestion Pipelines Using Azure Data Factory
Azure Data Factory Integration Runtime
Configuring and Securing Azure SQL Database
Implementing High Availability and Monitoring in Azure SQL Database
Processing Data Using Azure Databricks
Processing Data Using Azure Synapse Analytics
Transforming Data Using Azure Synapse Dataflows
Building the Serving Layer in Azure Synapse SQL Pool
Monitoring Synapse SQL and Spark Pools
Optimizing and Maintaining Synapse SQL and Spark Pools
Monitoring and Maintaining Azure Data Engineering Pipelines
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File format: ePUB
Copy protection: without DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use a reader that can handle the file format ePUB, such as Adobe Digital Editions or FBReader – both free (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePUB works well for novels and non-fiction books – i.e., 'flowing' text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook does not use copy protection or Digital Rights Management
For more information, see our eBook Help page.