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Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide - Second Edition

By : Palmieri, Surendra Mettapalli, Alex
4.6 (16)
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Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

4.6 (16)
By: Palmieri, Surendra Mettapalli, Alex

Overview of this book

One of the top global cloud providers, Azure offers extensive data hosting and processing services, driving widespread cloud adoption and creating a high demand for skilled data engineers. The Azure Data Engineer Associate (DP-203) certification is a vital credential, demonstrating your proficiency as an Azure data engineer to prospective employers. This comprehensive exam guide is designed for both beginners and seasoned professionals, aligned with the latest DP-203 certification exam, to help you pass the exam on your first try. The book provides a foundational understanding of IaaS, PaaS, and SaaS, starting with core concepts like virtual machines (VMs), VNETS, and App Services and progressing to advanced topics such as data storage, processing, and security. What sets this exam guide apart is its hands-on approach, seamlessly integrating theory with practice through real-world examples, practical exercises, and insights into Azure's evolving ecosystem. Additionally, you'll unlock lifetime access to supplementary practice material on an online platform, including mock exams, interactive flashcards, and exam tips, ensuring a comprehensive exam prep experience. By the end of this book, you’ll not only be ready to excel in the DP-203 exam, but also be equipped to tackle complex challenges as an Azure data engineer.
Table of Contents (17 chapters)
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1
Part 1: Azure Basics
3
Part 2: Data Storage
6
Part 3:Data Processing
11
Part 4:Secure, Monitor, and Optimize Data Storage and Processing

Implementing Row-Level and Column-Level Security

Azure Synapse SQL (and Azure SQL) provides some very useful fine-grained security at the level of rows and columns in a table. Row-Level Security (RLS) and column-level security are mechanisms for safeguarding sensitive data within Azure Synapse SQL (and Azure SQL). With RLS, you can implement security policies that control access to specific rows within a table, ensuring that only authorized users can view or manipulate the data.

Similarly, with column-level security you restrict access to specific columns within a table. This method goes beyond merely masking sensitive information to completely blocking unauthorized users from accessing selected columns.

Both row and column restriction features are important when dealing with sensitive information that must not be separated into separate storage locations. Both techniques help with data visibility at a granular level.

Note

This section primarily focuses on the Implement...

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