Fundamentals of Analytics Engineering: An introduction to building end-to-end analytics solutions

Dumky De Wilde

Taís Laurindo Pereira

Ricardo Angel Granados Lopez

Lasse Benninga

Juan Manuel Perafan

Gligorevic

Kassapian +3 more

$44.99

4.7 (3 Ratings)

Paperback Mar 2024 332 pages 1st Edition

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Key benefits

Discover how analytics engineering aligns with your organization's data strategy

Access insights shared by a team of seven industry experts

Tackle common analytics engineering problems faced by modern businesses

Purchase of the print or Kindle book includes a free PDF eBook

Description

Written by a team of 7 industry experts, Fundamentals of Analytics Engineering will introduce you to everything from foundational concepts to advanced skills to get started as an analytics engineer. After conquering data ingestion and techniques for data quality and scalability, you’ll learn about techniques such as data cleaning transformation, data modeling, SQL query optimization and reuse, and serving data across different platforms. Armed with this knowledge, you will implement a simple data platform from ingestion to visualization, using tools like Airbyte Cloud, Google BigQuery, dbt, and Tableau. You’ll also get to grips with strategies for data integrity with a focus on data quality and observability, along with collaborative coding practices like version control with Git. You’ll learn about advanced principles like CI/CD, automating workflows, gathering, scoping, and documenting business requirements, as well as data governance. By the end of this book, you’ll be armed with the essential techniques and best practices for developing scalable analytics solutions from end to end.

Who is this book for?

This book is for data engineers and data analysts considering pivoting their careers into analytics engineering. Analytics engineers who want to upskill and search for gaps in their knowledge will also find this book helpful, as will other data professionals who want to understand the value of analytics engineering in their organization's journey toward data maturity. To get the most out of this book, you should have a basic understanding of data analysis and engineering concepts such as data cleaning, visualization, ETL and data warehousing.

What you will learn

Design and implement data pipelines from ingestion to serving data

Explore best practices for data modeling and schema design

Scale data processing with cloud based analytics platforms and tools

Understand the principles of data quality management and data governance

Streamline code base with best practices like collaborative coding, version control, reviews and standards

Automate and orchestrate data pipelines

Drive business adoption with effective scoping and prioritization of analytics use cases

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Data Engineering with Google Cloud Platform

$41.99

$44.99

$59.99

Total $ 146.97

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Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

jose salinas iii Aug 08, 2024

I recently finished reading "Fundamentals of Analytics Engineering: An Introduction to Building End-to-End Analytics Solutions," and it has significantly enhanced my understanding of the analytics engineering lifecycle. It just great book that teaches the back end processes with step by step and explains the process.

Amazon Verified review

Loni Jun 06, 2024

I recently finished reading "Fundamentals of Analytics Engineering: An Introduction to Building End-to-End Analytics Solutions," and it has significantly enhanced my understanding of the analytics engineering lifecycle. This book is a must-read for anyone looking to integrate data analysis and engineering principles effectively. The insights shared by the seven industry experts are both practical and enlightening, covering everything from data ingestion to modeling and visualization. I particularly appreciated the hands-on guidance for building a data platform using tools like Airbyte, DuckDB, dbt, and Tableau. The emphasis on data quality, governance, and collaborative coding practices makes this book an invaluable resource for ensuring data integrity and driving business success. Whether you're a data engineer, analyst, or an aspiring analytics engineer, this book provides the essential techniques and best practices needed to develop scalable, end-to-end analytics solutions. Highly recommended!

Johnny Winter Aug 29, 2024

My only real complaint about this book is that the title doesn't do justice to the breadth of information contained in it.Whilst this may be aimed at fledgling Analytics Engineers it really covers the fundamentals of the entire Modern Data Stack.I think this is a great read for anyone starting out in data and gives a great overview of the evolution of data architectures as well as the essential concepts for all layers of modern day implementations.

Fundamentals of Analytics Engineering: An introduction to building end-to-end analytics solutions

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