Opening book details…
Can I read Big Data Glossary on EtoBox?
Big Data Glossary by Pete Warden is a nonfiction available to read on EtoBox.
What is Big Data Glossary about?
To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on firsthand experience with these tools in a production environment. This handy glossary also includes a chapter of key terms that help define many of the tool categories. COMPUTERS / Data Modeling & Design
Who reads Big Data Glossary?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Pete Warden
- Publisher
- O'Reilly Media
- Published
- 2011
- Language
- EN
- Category
- nonfiction
- Subjects
- Computer Science, Databases, Stem
- Rating
- 3.2 / 5 (53 ratings)
- Updated
- 2026-03-14
More by Pete Warden
Browse all works by Pete Warden
Similar books
- Introducing Data Science : Big Data, Machine Learning, and More, Using Python Tools — Davy Cielen; Mohamed Ali; Arno Meysman; Safari Books Online (Firm) (2016)
- Big Data Analytics with R : Utilize R to Uncover Hidden Patterns in Your Big Data — Simon Walkowiak (2016)
- Java Data Analysis : Data Mining, Big Data Analysis, NoSQL, and Data Visualization — John R. Hubbard (2017)
- Big Data and Analytics: The Key Concepts and Practical Applications of Big Data Analytics — Dr. Jugnesh Kumar, Dr. Anubhav Kumar, Dr. Rinku (2024)
- Big Data Analytics: A Hands-On Approach — Vijay Madisetti Arshdeep Bahga (2019)
- Scalable Big Data Architecture : a Practitioner's Guide to Choosing Relevant Big Data Architecture — Bahaaldine Azarmi (2016)