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Data Lake Analytics on Microsoft Azure

A Practitioner's Guide to Big Data Engineering
BuchKartoniert, Paperback
222 Seiten
Englisch
Springererschienen am09.10.20201st ed.
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 willThis book includes comprehensive coverage of how:To architect data lake analytics solutions by choosing suitable technologies available on Microsoft AzureThe advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystemThese data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutionsData 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.What Will You LearnYou will understand the:Concepts of data lake analytics, the modern data warehouse, and advanced data analyticsArchitecture patterns of the modern data warehouse and advanced data analytics solutionsPhases-such as Data Ingestion, Store, Prep and Train, and Model and Serve-of data analytics solutions and technology choices available on Azure under each phaseIn-depth coverage of real-time and batch mode data analytics solutions architectureVarious managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsightWho This Book Is ForData platform professionals, database architects, engineers, and solution architectsmehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR58,84
E-BookPDF1 - PDF WatermarkE-Book
EUR56,99

Produkt

KlappentextGet 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 willThis book includes comprehensive coverage of how:To architect data lake analytics solutions by choosing suitable technologies available on Microsoft AzureThe advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystemThese data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutionsData 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.What Will You LearnYou will understand the:Concepts of data lake analytics, the modern data warehouse, and advanced data analyticsArchitecture patterns of the modern data warehouse and advanced data analytics solutionsPhases-such as Data Ingestion, Store, Prep and Train, and Model and Serve-of data analytics solutions and technology choices available on Azure under each phaseIn-depth coverage of real-time and batch mode data analytics solutions architectureVarious managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsightWho This Book Is ForData platform professionals, database architects, engineers, and solution architects
Zusammenfassung
Details
ISBN/GTIN978-1-4842-6251-1
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2020
Erscheinungsdatum09.10.2020
Auflage1st ed.
Seiten222 Seiten
SpracheEnglisch
Gewicht460 g
IllustrationenXVII, 222 p. 134 illus.
Artikel-Nr.48874855

Inhalt/Kritik

Inhaltsverzeichnis
Chapter 1: Data Lake Analytics Concepts.- Chapter 2: Building Blocks of Data Analytics.- Chapter 3: Data Analytics on Public Cloud.- Chapter 4: Data Ingestion.- Chapter 5: Data Storage.- Chapter 6: Data Preparation and Training Part I.- Chapter 7: Data Preparation and Training Part II.- Chapter 8: Model and Serve.- Chapter 9: Summary.mehr

Autor

Harsh Chawlaÿhas been working on data platform technologies for last 14 years. He has been in various roles in the Microsoft world for last 12 years, going from CSS to services to technology strategy. He currently works as an Azure specialist with data and AI technologies and helps large IT enterprises build modern data warehouses, advanced analytics, and AI solutions on Microsoft Azure. He has been a community speaker and blogger on data platform technologies.ÿ
Pankaj Khattarÿis a seasoned Software Architect with over 14 years of experience in design and development of Big Data, Machine Learning and AI based products. He currently works with Microsoft on the Azure platform as a Sr. Cloud Solution Architect for Data & AI technologies. He also possesses extensive industry experience in the field of building scalable multi-tier distributed applications and client/server based development. You can connect with him on LinkedIn at https://www.linkedin.com/in/pankaj-khattar/