Titlebook: Data Lake Analytics on Microsoft Azure; A Practitioner‘s Gui Harsh Chawla,Pankaj Khattar Book 2020 Harsh Chawla and Pankaj Khattar 2020 Azu

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Data Analytics on Public Cloud,tions can build, scale, and consume these solutions with a faster pace and economical cost. Since there is a fair understanding of data lakes and data analytics basics by now, this chapter discusses the role of a public cloud to disrupt the market and to accelerate the adoption of data analytics solutions.

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Data Storage,s applications through an ETL process for further processing. In this chapter, the discussion is around what role the data storage layer in data analytics plays and various storage options available on Microsoft Azure.

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https://doi.org/10.1007/978-1-4842-6252-8Azure data factory; lambda; kappa; azure databricks; spark; NoSQL; Power BI; Kubernets

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978-1-4842-6251-1Harsh Chawla and Pankaj Khattar 2020

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