How Long to Read Hands-On Data Warehousing with Azure Data Factory

How Long Does it Take to Read Hands-On Data Warehousing with Azure Data Factory?

It takes the average reader 4 hours and 44 minutes to read Hands-On Data Warehousing with Azure Data Factory by Christian Coté

Assuming a reading speed of 250 words per minute. Learn more

Description

Leverage the power of Microsoft Azure Data Factory v2 to build hybrid data solutions Key Features Combine the power of Azure Data Factory v2 and SQL Server Integration Services Design and enhance performance and scalability of a modern ETL hybrid solution Interact with the loaded data in data warehouse and data lake using Power BI Book Description ETL is one of the essential techniques in data processing. Given data is everywhere, ETL will always be the vital process to handle data from different sources. Hands-On Data Warehousing with Azure Data Factory starts with the basic concepts of data warehousing and ETL process. You will learn how Azure Data Factory and SSIS can be used to understand the key components of an ETL solution. You will go through different services offered by Azure that can be used by ADF and SSIS, such as Azure Data Lake Analytics, Machine Learning and Databrick’s Spark with the help of practical examples. You will explore how to design and implement ETL hybrid solutions using different integration services with a step-by-step approach. Once you get to grips with all this, you will use Power BI to interact with data coming from different sources in order to reveal valuable insights. By the end of this book, you will not only learn how to build your own ETL solutions but also address the key challenges that are faced while building them. What you will learn Understand the key components of an ETL solution using Azure Data Factory and Integration Services Design the architecture of a modern ETL hybrid solution Implement ETL solutions for both on-premises and Azure data Improve the performance and scalability of your ETL solution Gain thorough knowledge of new capabilities and features added to Azure Data Factory and Integration Services Who this book is for This book is for you if you are a software professional who develops and implements ETL solutions using Microsoft SQL Server or Azure cloud. It will be an added advantage if you are a software engineer, DW/ETL architect, or ETL developer, and know how to create a new ETL implementation or enhance an existing one with ADF or SSIS.

How long is Hands-On Data Warehousing with Azure Data Factory?

Hands-On Data Warehousing with Azure Data Factory by Christian Coté is 277 pages long, and a total of 71,189 words.

This makes it 93% the length of the average book. It also has 87% more words than the average book.

How Long Does it Take to Read Hands-On Data Warehousing with Azure Data Factory Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 29 minutes to read Hands-On Data Warehousing with Azure Data Factory aloud.

What Reading Level is Hands-On Data Warehousing with Azure Data Factory?

Hands-On Data Warehousing with Azure Data Factory is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Hands-On Data Warehousing with Azure Data Factory?

Hands-On Data Warehousing with Azure Data Factory by Christian Coté is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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