Data Lake Analytics on Microsoft Azure (eBook)
XVII, 222 Seiten
Apress (Verlag)
978-1-4842-6252-8 (ISBN)
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
- 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
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.
You can connect with him on LinkedIn at https://www.linkedin.com/in/pankaj-khattar/
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
Erscheint lt. Verlag | 8.10.2020 |
---|---|
Zusatzinfo | XVII, 222 p. 134 illus. |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Mathematik / Informatik ► Informatik ► Software Entwicklung | |
Schlagworte | azure databricks • Azure Data Factory • Kappa • Kubernets • lambda • NoSQL • Power BI • Spark |
ISBN-10 | 1-4842-6252-2 / 1484262522 |
ISBN-13 | 978-1-4842-6252-8 / 9781484262528 |
Haben Sie eine Frage zum Produkt? |
Größe: 10,1 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich