Data Lake Analytics on Microsoft Azure: A Practitioner’s Guide to Big Data Engineering-P2P
Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You will
This book includes comprehensive coverage of how:
To architect data lake analytics solutions by choosing suitable technologies available on Microsoft Azure
The advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystem
These data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutions
Data platform professionals who have been working on relational data stores, non-relational data stores, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer world as it provides an overview of advanced data analytics and touches on data science concepts and various artificial intelligence and machine learning technologies available on Microsoft Azure.

Data Lake Analytics on Microsoft Azure: A Practitioner’s Guide to Big Data Engineering-P2P
English | 2020 | ISBN-13: 978-1484262511 | 235 Pages | PDF, EPUB | 23.33 MB
Download: ( NITROFLARE ) | ( RAPIDGATOR )

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Data Lake Analytics on Microsoft Azure: A Practitioner’s Guide to Big Data Engineering-P2P
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