A hands-on introduction to big data analytics /
Obembe, Funmi,
A hands-on introduction to big data analytics / Funmi Obembe and Ofer Engel. - xxi, 366 pages : illustrations ; 25 cm.
Includes bibliographical references and index.
Introduction to big data analytics -- Big data technologies -- Apache spark -- Big data storage -- Big data analytics and cloud computing -- Big data analytics and actionable insights -- Graph analytics -- Machine learning -- Natural language processing -- Real-time data analytics -- Big data analytics and visualization -- Going forward.
"This new textbook offers a hands-on introduction to big data analytics, helping you to develop the skills you need to hit the ground running as a data professional. The textbook complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life use cases as well as using real-life data for all examples and practice work. The book contains comprehensive coverage of all of the key topics in this area, and uses open-source technologies and examples in Python, PySpark and R"--
9781529600087
2023941596
Big data.
Quantitative research--Data processing.
QA76.9.B45 / .O24 2024
005.7 / Ob21h
A hands-on introduction to big data analytics / Funmi Obembe and Ofer Engel. - xxi, 366 pages : illustrations ; 25 cm.
Includes bibliographical references and index.
Introduction to big data analytics -- Big data technologies -- Apache spark -- Big data storage -- Big data analytics and cloud computing -- Big data analytics and actionable insights -- Graph analytics -- Machine learning -- Natural language processing -- Real-time data analytics -- Big data analytics and visualization -- Going forward.
"This new textbook offers a hands-on introduction to big data analytics, helping you to develop the skills you need to hit the ground running as a data professional. The textbook complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life use cases as well as using real-life data for all examples and practice work. The book contains comprehensive coverage of all of the key topics in this area, and uses open-source technologies and examples in Python, PySpark and R"--
9781529600087
2023941596
Big data.
Quantitative research--Data processing.
QA76.9.B45 / .O24 2024
005.7 / Ob21h