Azure Data Engineer Associate Certification Guide: A hands-on reference guide to developing your data engineering (True AZW3)

[LeeAndro]

English | 2022 | ISBN: 1801816069 | 411 pages | True AZW3 | 27.22 MB

Become well-versed with data eeering concepts and exam objectives to achieve Azure Data Eeer Associate certification

Key Features
Understand and apply data eeering concepts to real-world problems and prepare for the DP-203 certification exam
Explore the various Azure services for building end-to-end data solutions
Gain a solid understanding of building secure and sustainable data solutions using Azure services

Book Description
Azure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing.​

Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data eeering jobs, with aspiring and experienced data eeers trying to outshine each other.

Gaining the DP-203: Azure Data Eeer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Eeer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data eeering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you'll work on sample questions and answers to familiarize yourself with the pattern of the exam.

By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data eeering.

What you will learn
Gain intermediate-level knowledge of Azure the data infrastructure
Design and implement data lake solutions with batch and stream pipelines
Identify the partition strats available in Azure storage technologies
Implement different table geometries in Azure Synapse Analytics
Use the transformations available in T-SQL, Spark, and Azure Data Factory
Use Azure Databricks or Synapse Spark to process data using Notebooks
Design security using RBAC, ACL, encryption, data masking, and more
Monitor and optimize data pipelines with debugging tips

Who this book is for
This book is for data eeers who want to take the DP-203: Azure Data Eeer Associate exam and are looking to gain in-depth knowledge of the Azure cloud stack.

The book will also help eeers and product managers who are new to Azure or interviewing with companies working on Azure technologies, to get hands-on experience of Azure data technologies. A basic understanding of cloud technologies, extract, transform, and load (ETL), and databases will help you get the most out of this book.

Table of Contents
Introducing Azure Basics
Designing a Data Storage Structure
Designing a Partition Strategy
Designing the Serving Layer
Implementing Physical Data Storage Structures
Implementing Logical Data Structures
Implementing the Serving Layer
Ingesting and Transfog Data
Designing and Developing a Batch Processing Solution
Designing and Developing a Stream Processing Solution
Managing Batches and Pipelines
Designing Security for Data Policies and Standards
Monitoring Data Storage and Data Processing
Optimizing and Troubleshooting Data Storage and Data Processing
Sample Questions with Solutions



DOWNLOAD

https://1dl.net/xaxq8clg9eny/VHAkQiOw_Azure_Data_Engineer_Associate_Certification_Guide__A_handson_reference_guide_to_developing_your_data_engineering_skills_and_preparing_for_the_DP203_exam_nodrm..rar.html