Book Image

Cloud Scale Analytics with Azure Data Services

By : Patrik Borosch
Book Image

Cloud Scale Analytics with Azure Data Services

By: Patrik Borosch

Overview of this book

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.
Table of Contents (20 chapters)
1
Section 1: Data Warehousing and Considerations Regarding Cloud Computing
4
Section 2: The Storage Layer
7
Section 3: Cloud-Scale Data Integration and Data Transformation
14
Section 4: Data Presentation, Dashboarding, and Distribution

Loading data into Synapse-dedicated SQL pools

With a rich pedigree established by the Microsoft Parallel Data Warehouse appliance, which was the grandfather of Azure SQL Data Warehouse, Synapse-dedicated SQL pools benefit from a mature massively parallel processing (MPP) technology that implements some very useful pieces of technology.

For example, there is PolyBase, which will enable your dedicated SQL pool to either load data from your data lake into the SQL pool or query the data from where it is stored in your data lake without the need to transport it into the pool.

Another option is to use the COPY statement. This SQL feature was added to speed up loading data from your data lake into your SQL pool.

The third option for bringing data into your dedicated SQL pool is, of course, to use either Synapse pipelines or Azure Data Factory (see Chapter 5, Integrating Data in Your Modern Data Warehouse).

Examining PolyBase

PolyBase is a feature that allows the reading and...