Książka Foundations of Data Intensive Applications - Large Scale Data Analytics under the Hood Saliya Ekanayake

Foundations of Data Intensive Applications - Large Scale Data Analytics under the Hood

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 14-21 dni
173.97
PEEK "UNDER THE HOOD" OF BIG DATA ANALYTICSThe world of big data analytics grows ever more complex....

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2021
strony
416
EAN
9781119713029
ISBN
1119713021
Enbook ID
33118100
Waga
688
Wymiary
233 x 189 x 22

Pełny opis

PEEK "UNDER THE HOOD" OF BIG DATA ANALYTICSThe world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of big data to software development for optimal performance.The authors discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You???ll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within.Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every big data processing system.Ideal for data scientists, data architects, dev-ops engineers, and developers, Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood shows readers how to:* Identify the foundations of large-scale, distributed data processing systems* Make major software design decisions that optimize performance* Diagnose performance problems and distributed operation issues* Understand state-of-the-art research in big data* Explain and use the major big data frameworks and understand what underpins them* Use big data analytics in the real world to solve practical problems

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