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This book details data engineering from data collection to insights. A practical reference for data engineers, IT professionals, and analysts to master modern data engineering basics and advanced approaches.
This book provides a strong start by introducing data engineering's evolution, fundamental principles, and critical technologies. Next, data acquisition and storage are examined, covering data extraction, relational vs. NoSQL databases, and cloud storage. Then it discusses data processing and transformation, including ETL procedures, real-time processing, and data integration techniques.
Data quality and good visualisation are essential for useful reports, which the book covers in important metrics, validation methodologies, and visualisation technologies. Security, privacy, encryption, access management, and global data regulations are covered.
Ending with ‘Advance topics’ including machine learning integration, big data technologies, and cloud data engineering, the part looks ahead to industry developments. Data engineering students must read this book for theory, applications, and multiple-choice tests.
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Srinivas Murri
Data engineering expert Srinivas Murri has over 18 years of experience building and executing creative data solutions in retail, media, telecom, and finance. He views data engineering's difficulties and potential from a worldwide perspective, having worked in North America, Europe, and Asia.
Srinivas has worked on data governance, cloud platforms, real-time data systems, and scalable data architectures. He has led transformative programs that help organizations maximize data potential, increase operational efficiency, and meet worldwide regulatory standards.
Beyond his technical expertise, Srinivas loves mentoring young data engineers and sharing his knowledge. He loves advising data engineers on cloud-based data structures and machine learning integrations. His work and writing are inspired by his love of learning and new technologies.
This book shows his dedication to data engineering. Srinivas hopes it will inspire and equip others to construct the next generation of data-driven solutions.
