Becoming A Data Engineer
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Becoming a Data Engineer
Author: Brahma Reddy Katam
language: en
Publisher: Independently Published
Release Date: 2024-07-26
In a world increasingly driven by data, the role of a data engineer has become indispensable. If you're looking to break into this dynamic and lucrative field, "Becoming a Data Engineer: A Beginner's Guide for 2024" is your essential roadmap. This comprehensive guide is designed for beginners who are eager to learn the skills, tools, and strategies necessary to launch a successful career in data engineering. Inside this book, you will discover: An Introduction to Data Engineering: Understand what data engineering is, why it's crucial in today's data-driven world, and the key responsibilities of a data engineer. Pathways to Success: Learn about the educational paths, certifications, and courses that will set you on the right track. Get practical advice on building a portfolio that showcases your skills and projects. Core Concepts and Technologies: Dive into fundamental concepts such as data modeling, ETL processes, and data warehousing. Get acquainted with big data technologies like Hadoop and Spark. Programming Essentials: Master the programming languages and tools that are vital for data engineering, including Python, SQL, Scala, and Java. Tools and Platforms: Explore the tools and platforms that data engineers use daily, from the Hadoop ecosystem to cloud platforms like AWS, Azure, and Google Cloud. Building and Managing Data Pipelines: Learn how to design, build, and maintain robust data pipelines. Understand the importance of workflow automation and the tools that make it possible, such as Apache Airflow and Luigi. Data Storage Solutions: Gain insights into various data storage solutions, including relational databases, NoSQL databases, and data lakes. Ensuring Data Quality and Governance: Discover best practices for maintaining data quality, governance, and compliance. Learn about the security measures needed to protect data integrity and privacy. Real-World Projects and Case Studies: See practical examples and case studies from the industry that illustrate how data engineering solutions are applied in real-world scenarios. Career Preparation: Get up-to-date insights on the job market for data engineers in 2024. Learn how to craft an impressive resume, prepare for interviews, and network effectively to boost your career prospects. Why You Need This Book: Whether you're a recent graduate, a professional seeking a career change, or an IT specialist looking to expand your skill set, this book provides the knowledge and guidance you need to succeed in the field of data engineering. With practical examples, clear explanations, and actionable advice, "Becoming a Data Engineer: A Beginner's Guide for 2024" is your gateway to mastering the art of data engineering and unlocking the potential of big data. Take the first step towards your new career today!
Becoming a Data Engineer
Author: Laura La Bella
language: en
Publisher: The Rosen Publishing Group, Inc
Release Date: 2017-07-15
Big data is a dynamic field that finds businesses and organizations capturing massive amounts of information at an alarming speed � all of which will be analyzed and used to help make important decisions. A data engineer creates the massive reservoirs needed to collect big data. These IT professionals develop, construct, test, and maintain architectures, such as databases and large-scale data processing systems, which house big data. In this title, the emerging career field of a data engineer is explored. With the right mix of education and experience, data engineers can find themselves in high demand.
Google Professional Data Engineer
Do you want to learn the skills needed to be successful in a data engineer role?Do you want to learn about the infrastructure and platform services provided by Google Cloud Platform?If You Answered "Yes" To Any of The Above, Look No Further. This is the book for you! Hello! Welcome to "GOOGLE PROFESSIONAL DATA ENGINEERING". People looking to qualify in each job market are becoming increasingly competitive, and the qualifications required for a candidate to fill a vacancy are becoming increasingly demanding. Data engineers have a wide range of skills including the ability to design systems to ingest large volumes of data, store data cost-effectively, and efficiently process and analyze data with tools ranging from reporting and visualization to machine learning. You'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models. By the end of this book, you will be ready to use Google Cloud Data Engineering services to design, deploy and monitor data pipelines, deploy advanced database systems, build data analysis platforms, and support production machine learning environments. This book provides the skills you need to advance your career as a data engineer and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Preparing in advance and getting to the market as soon as possible, puts the professional closer to winning a job. Once again as IT professionals. Here's what makes this book special: Google Professional Data Engineering Overview Design Data Processing Systems Building and Operationalizing A Data Processing System Ensuring Quality Solution Data Engineering on Google Cloud Preparing for A Google Cloud Exam Data Engineering Examination Much, much more! This book is different from others because in this book: You will be able to move forward architecting real-world data engineering solutions You will understand all the core services you'll need to know for the Data Engineer You will understand how to use Google's Big Data Services on the Google Cloud Platform. If you are interested in becoming a data engineer on Google's Cloud Platform then this book is for you.