Patrik Borosch

Cloud Scale Analytics with Azure Data Services (eBook, ePUB)

Build modern data warehouses on Microsoft Azure

• Format: ePub

Produktbeschreibung

Azure 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.
This 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.
By the end of this Azure book, you will have learned how to develop a powerful and efficient analytical platform to meet enterprise needs.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 520
• Erscheinungstermin: 23. Juli 2021
• Englisch
• ISBN-13: 9781800562141
• Artikelnr.: 70295091

Autorenporträt

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.