Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering
Chawla, Harsh
ISBN 10: 1484262514 ISBN 13: 9781484262511
Editorial: Apress, 2020
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Descripción
Descripción:
Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. N° de ref. del artículo M01484262514-G
Sinopsis:
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.
What Will You Learn
You will understand the:
- Concepts of data lake analytics, the modern data warehouse, and advanced data analytics
- Architecture patterns of the modern data warehouse and advanced data analytics solutions
- Phases-such as Data Ingestion, Store, Prep and Train, and Model and Serve-of data analytics solutions and technology choices available on Azure under each phase
- In-depth coverage of real-time and batch mode data analytics solutions architecture
- Various managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsight
Who This Book Is For
Data platform professionals, database architects, engineers, and solution architects
Acerca del autor:
Harsh Chawla has 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.
Pankaj Khattar is 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/
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Detalles bibliográficos
Título: Data Lake Analytics on Microsoft Azure: A ...
Editorial: Apress
Año de publicación: 2020
Encuadernación: Encuadernación de tapa blanda
Condición: good
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Condición: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | 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 architects. Nº de ref. del artículo: 36675252/3
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Data Lake Analytics on Microsoft Azure: A Practitioners Guide to Big Data Engineering. [Foreword by Sandeep J Alur
Publicado por
Apress Oktober 2020., 2020
ISBN 10: 1484262514
ISBN 13: 9781484262511
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Zustand: sehr gut / kart., 26 cm, 222 S. Data Lake Analytics on Microsoft Azure Gei a 36o-degree view of how the journey of data analytics solutions has evolved (rom monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You will learn from the authors' experience working with large-scale enterprise customer engagements. This book includessomprehensive coverage of how: To architect data lake analytics .solutions by choosing suitable lechnologies available on Microsoft Azure The advent of microservices applications covering ecommerce or modern solutions built on loT 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 intelligente and machine learning technologies available on Microsoft Azure. You will understand the: Concepts of data lake analytics. the modern data warehouse, and advanced data analytics Architecture patterns of the modern data warehouse and advanced data analytics solutions Phasessuch as Data Ingestion, Store. Prep and Train. and Model and Serveof data analytics solutions and technology choices available on Azure under each phase In- depth coverage of real-time and batch mode data analytics solutions architecture Various managed services available an Azure such as Synapse analytics, event hubs. Stream analytics, CosmosDB. and managed Hadoop services such as Databricks and HDInsight (Deckeltext) Z38634H7 ISBN 9781484262511 Gemäß §19 UStG weist dieser Verkäufer keine Mehrwertsteuer aus (Kleinunternehmerstatus). Aufgrund der EPR-Regelung kann in folgende Länder KEINE LIEFERUNG mehr erfolgen: Bulgarien, Finnland, Frankreich, Griechenland, Luxemburg, Österreich, Polen, Rumänien, Schweden, Slowakei, Spanien Sprache: Englisch Gewicht in Gramm: 550. Nº de ref. del artículo: 45751
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