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Data Engineering: Analyzing Big Data and Modern Data

1 Puan

3

Süre
2sa 47dk
Dil
İngilizce
Format
Kategori

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Welcome to the world of data engineering, where the raw material of the digital age—data—is transformed into actionable insights that drive decisions, innovations, and advancements across industries. This book is your gateway into understanding and mastering the essential principles, practices, and technologies that underpin the field of data engineering.

In today's data-driven economy, organizations increasingly rely on robust data infrastructures and efficient data pipelines to harness the power of information. Data engineering is the backbone of this infrastructure, encompassing the design, implementation, and maintenance of systems that enable the collection, storage, and processing of vast amounts of data.

This book is designed as a comprehensive guide for anyone seeking to embark on a journey into data engineering or looking to deepen their understanding of its intricacies. Whether you are a seasoned data professional, a software engineer transitioning into data roles, or a student eager to explore the forefront of technological innovation, this book will equip you with the knowledge and skills necessary to navigate the complexities of modern data ecosystems.

Each chapter is crafted to provide a blend of theoretical foundations, practical insights, and hands-on examples to help you on your way. So, let’s get started!

© 2024 Freegulls Publishing House LLC (Sesli Kitap): 9798882204180

Yayın tarihi

Sesli Kitap: 28 Haziran 2024

Bunları da beğenebilirsin...

  1. Data as a Product: How to Provide the Data That the Company Needs Brian Murray
  2. Fundamentals of Data Engineering: Plan and Build Robust Data Systems Matt Housley
  3. Data-Driven Decisions: Mastering Business Data Science Chuck Sherman
  4. Data Analyses: Detailed, Scientific, and Business-Oriented Data Reading Skills Benjamin Farrar
  5. Data and Databases: Learn Data Analytics, Data Mining, and Operating Systems (2 in 1) Jonathan Rigdon
  6. Fundamentals of Data Engineering: Empowering Insights, Driving Innovation SAM CAMPBELL
  7. Fundamentals of Data Engineering: Building the Foundation for Modern Data Architecture Brian Paul
  8. Data Quality Prashanth Southekal
  9. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
  10. Ultimate Data Engineering with Databricks Mayank Malhotra
  11. Data-Driven Science and Engineering: Mastering the Art of Data-Driven Decision Making Sam Campbell
  12. Data Science John D. Kelleher
  13. Python for Data Analysis: From Basics to Advanced Data Science Techniques SAM CAMPBELL
  14. Data Analysis Introbooks Team
  15. Data Science and Big Data: Data Science and Big Data Analytics: Unlocking the Power of Information Liam Morgan
  16. Data Engineering Fundamentals for Beginners: Mastering the Art of Building, Managing, and Scaling Data Systems James Ferry
  17. Data Science For Dummies: 2nd Edition Lillian Pierson
  18. Learning from Data Introbooks Team
  19. Big Data, Little Data, No Data: Scholarship in the Networked World Christine L. Borgman
  20. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Foster Provost
  21. Big Data: Mining and Measuring Big Data for Information and Intelligence David Feldspar
  22. Big Data Analytics: Turning Big Data into Big Money Frank J. Ohlhorst
  23. Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science Alex Campbell
  24. Data-Driven Decisions: Mastering Business Data Analytics: Unlocking Insights for Strategic Success Christopher Wilson
  25. Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are Seth Stephens-Davidowitz
  26. Data Mesh: A Comprehensive Guide to Modern Data Architecture Brian Paul
  27. Python Data Ecosystem: Navigating the Landscape of Data Engineering Daniel Garfield
  28. Data Smart: Using Data Science to Transform Information into Insight John W. Foreman
  29. Big Data: How New Data and the Internet Help Us Analyze Everything David Feldspar
  30. Mastering Data Science and Big Data Analytics: Mastering Big Data: Strategies and Tools for Effective Analysis Maxine Chen
  31. Data Science Demystified: Unlocking Insights in a Data-Driven World Alex Thompson
  32. Data is Everybody's Business: The Fundamentals of Data Monetization (Management on the Cutting Edge) Cynthia M. Beath
  33. A Guide to Data Science in the Big Data Era: Big Data Explained: A Comprehensive Guide to Data Science Applications Alexander Clarke
  34. Data Mesh: Delivering Data-Driven Value at Scale Zhamak Dehghani
  35. Win with Advanced Business Analytics: Creating Business Value from Your Data Jean Paul Isson
  36. Fundamentals of Software Architecture: An Engineering Approach Neal Ford
  37. Building Microservices: Designing Fine-Grained Systems Sam Newman
  38. Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures Neal Ford
  39. SQL For Beginners: SQL Guide to understand how to work with a Data Base White Belt Mastery
  40. Talk Like TED: The 9 Public Speaking Secrets of the World's Top Minds Carmine Gallo

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