This book will help you to understand the architectural components of a modern data warehouse and select those suitable for your requirements. You'll learn everything from how to integrate your source data into Azure Data Lake at scale to how to structure your analytical data estate and more.
Über den Autor
Patrik Borosch is a Cloud Solution Architect for Data and AI at Microsoft Switzerland GmbH. He has more than 25 years of BI and analytics development, engineering, and architecture experience and is a Microsoft Certified Data Engineer and a Microsoft Certified AI Engineer. Patrik has worked on numerous significant international Data Warehouse, Data Integration and Big Data projects. There, he has built and extended his experience in all facets from requirement engineering over data modelling and ETL all the way to reporting and dashboarding. At Microsoft Switzerland, he supports customers in their journey into the analytical world of Azure Cloud.
Klappentext
A practical guide to implementing a scalable and fast state-of-the-art analytical data estatennnKey Features:nnStore and analyze data with enterprise-grade security and auditingnPerform batch, streaming, and interactive analytics to optimize your big data solutions with easenDevelop and run parallel data processing programs using real-world enterprise scenariosnnnnnBook Deillegalscription:nnnAzure Data Lake, the modern data warehouse architecture, and related data services on Azure enable organizations to build their own customized analytical platform to fit any analytical requirements in terms of volume, speed, and quality.nnnThis book is your guide to learning all the features and capabilities of Azure data services for storing, processing, and analyzing data (structured, unstructured, and semi-structured) of any size. You will explore key techniques for ingesting and storing data and perform batch, streaming, and interactive analytics. The book also shows you how to overcome various challenges and complexities relating to productivity and scaling. Next, you will be able to develop and run massive data workloads to perform different actions. Using a cloud-based big data-modern data warehouse-analytics setup, you will also be able to build secure, scalable data estates for enterprises. Finally, you will not only learn how to develop a data warehouse but also understand how to create enterprise-grade security and auditing big data programs.nnnBy the end of this Azure book, you will have learned how to develop a powerful and efficient analytical platform to meet enterprise needs.nnnWhat You Will Learn:nnImplement data governance with Azure servicesnUse integrated monitoring in the Azure Portal and integrate Azure Data Lake Storage into the Azure MonitornExplore the serverless feature for ad-hoc data discovery, logical data warehousing, and data wranglingnImplement networking with Synapse Analytics and Spark poolsnCreate and run Spark jobs with Databricks clustersnImplement streaming using Azure Functions, a serverless runtime environment on AzurenExplore the predefined ML services in Azure and use them in your appnnnnnWho this book is for:nnnThis book is for data architects, ETL developers, or anyone who wants to get well-versed with Azure data services to implement an analytical data estate for their enterprise. The book will also appeal to data scientists and data analysts who want to explore all the capabilities of Azure data services, which can be used to store, process, and analyze any kind of data. A beginner-level understanding of data analysis and streaming will be required.
