Data Engineering Foundations

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Data Engineering Foundations

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Author : Harshit Tyagi
language : en
Publisher:
Release Date : 2021

Data Engineering Foundations written by Harshit Tyagi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

Data science can be generally defined as the process of making data useful, and data engineering is a key part of how and why. If you think of data science like a race car, the data engineers are the pit crew. They're not driving the car, but they make the car much easier to drive. Data engineers make sure the data flow is running smoothly, monitor systems, anticipate problems, and repair the data pipeline whenever problems arise. They extract and gather data from multiple sources and load it into a single, easy-to-query database. In short, data engineers make data scientists' lives easier. In this course, Harshit Tyagi explains the fundamentals of data engineering. He covers key topics like data wrangling, database schema, and developing ETL pipelines. He also details several data engineering tools like Hive, Hadoop, Spark, and Airflow. By the end of this course, it should be abundantly clear why the data engineer is one of the most valuable people in a data-driven organization.

Foundations Of Data Engineering Concepts Principles And Practices

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Author : Dr. RVS Praveen
language : en
Publisher: Addition Publishing House
Release Date : 2024-09-23

Foundations Of Data Engineering Concepts Principles And Practices written by Dr. RVS Praveen and has been published by Addition Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Antiques & Collectibles categories.

Foundations of Data Engineering: Concepts, Principles and Practices" offers a comprehensive introduction to the processes and systems that make data-driven decision-making possible. In today’s data-centric world, companies rely heavily on vast amounts of data to inform strategies, optimize operations, and innovate. This book explains the essential building blocks of data engineering, covering topics like data pipelines, ETL (Extract, Transform, Load) processes, data storage, and distributed computing. The text is structured to guide readers through the end-to-end lifecycle of data, from ingestion to transformation and analysis. It emphasizes best practices in designing robust, scalable data pipelines that ensure high-quality, reliable data is delivered to downstream analytics and machine learning systems. Topics such as batch and real-time data processing are covered, with in-depth discussions on tools and technologies like Apache Kafka, Hadoop, Spark, and cloud-based solutions like Google Cloud and AWS. For those new to the field or looking to expand their knowledge, this book also addresses the importance of data governance, ensuring data integrity, security, and compliance. Readers will gain insights into the challenges of big data and how modern engineering approaches can handle growing data volumes efficiently. With case studies and practical examples throughout, "Foundations of Data Engineering: Concepts, Principles and Practices" is a valuable resource for aspiring data engineers, analysts, and anyone involved in the data ecosystem looking to build scalable, reliable data solutions.

Data Engineering Concepts From Basics To Advance Techniques

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Author : Dr. RVS Praveen
language : en
Publisher: Addition Publishing House
Release Date : 2024-09-23

Data Engineering Concepts From Basics To Advance Techniques written by Dr. RVS Praveen and has been published by Addition Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Antiques & Collectibles categories.

Data engineering is a field that focuses on designing, building, and maintaining data systems. Data engineers work with large amounts of data and are responsible for ensuring that it is accessible, reliable, and secure. They use a variety of tools and techniques to extract, transform, and load data into data warehouses and data lakes. One of the key tasks of a data engineer is to design data pipelines. Data pipelines are a series of steps that data goes through to be processed and analyzed. These steps may include data extraction, data cleaning, data transformation, and data loading. Data engineers use tools like Apache Kafka and Apache Airflow to automate these processes. Data engineers also work with data storage systems. Data warehouses are large repositories of data that are optimized for analytical queries. Data lakes, on the other hand, are less structured and can store a wide variety of data types. Data engineers use tools like Hadoop and Apache Spark to manage and process data in these systems. In addition to data pipelines and storage systems, data engineers are responsible for data quality and governance. They develop data quality checks to ensure that data is accurate and consistent. They also implement data governance policies to protect sensitive data and comply with regulations.

Data Engineering And Foundation For Big Data

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Author : N. Sandeep Chaitanya
language : en
Publisher:
Release Date : 2025-06-04

Data Engineering And Foundation For Big Data written by N. Sandeep Chaitanya and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-04 with Computers categories.

Data pre-processing and exploration represent the foundational pillars of any successful data engineering project, consuming approximately 70-80% of a data scientist's time according to industry surveys. This critical phase transforms raw, often chaotic data into a structured, analyzable format that enables meaningful insights and robust analytical models. The significance of data pre-processing cannot be overstated, as the quality of insights derived from any analytical endeavor is fundamentally dependent on the quality of the underlying data.

Data Engineering Unlocked

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Author : Rakesh G
language : en
Publisher: Notion Press
Release Date : 2025-03-18

Data Engineering Unlocked written by Rakesh G and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Computers categories.

Data Engineering Unlocked Master the Foundations of Data Engineering and Unlock the Power of Data "Data Engineering Unlocked" is your ultimate guide to navigating the ever-evolving world of Data Engineering. Designed for beginners, aspiring professionals, and industry leaders, this book breaks down complex concepts into clear, actionable insights. Through real-world examples and foundational principles, it demystifies the critical role of Data Engineers in shaping industries-from e-commerce recommendations to real-time healthcare analytics. Whether you're exploring the basics or looking to deepen your expertise, this book equips you with the mindset, tools, and strategies to thrive in this high-demand field. Unlock the power of Data Engineering and step into the future.

Data Science Foundations Data Engineering

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Author : Ben Sullins
language : en
Publisher:
Release Date : 2017

Data Science Foundations Data Engineering written by Ben Sullins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.

Mechanical Engineering

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Author : American Society of Mechanical Engineers
language : en
Publisher:
Release Date : 1947

Mechanical Engineering written by American Society of Mechanical Engineers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1947 with Electronic journals categories.

Which Degree Guide

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Author :
language : en
Publisher:
Release Date : 2001

Which Degree Guide written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Degrees, Academic categories.

Engineering News Record

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Author :
language : en
Publisher:
Release Date : 1924

Engineering News Record written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1924 with Engineering categories.

Data Engineering With Python

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Author : Paul Crickard
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-10-23

Data Engineering With Python written by Paul Crickard and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-23 with Computers categories.

Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects Key Features Become well-versed in data architectures, data preparation, and data optimization skills with the help of practical examples Design data models and learn how to extract, transform, and load (ETL) data using Python Schedule, automate, and monitor complex data pipelines in production Book DescriptionData engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.What you will learn Understand how data engineering supports data science workflows Discover how to extract data from files and databases and then clean, transform, and enrich it Configure processors for handling different file formats as well as both relational and NoSQL databases Find out how to implement a data pipeline and dashboard to visualize results Use staging and validation to check data before landing in the warehouse Build real-time pipelines with staging areas that perform validation and handle failures Get to grips with deploying pipelines in the production environment Who this book is for This book is for data analysts, ETL developers, and anyone looking to get started with or transition to the field of data engineering or refresh their knowledge of data engineering using Python. This book will also be useful for students planning to build a career in data engineering or IT professionals preparing for a transition. No previous knowledge of data engineering is required.