Cantitate/Preț
Produs

The Enterprise Big Data Framework – Building Critical Capabilities to Win in the Data Economy

Autor Jan–willem Middelburg
en Limba Engleză Hardback – 2 noi 2023
Transform enterprise Big Data into valuable assets with this comprehensive guide to data analysis, data engineering, algorithm design and data architecture.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 39883 lei  6-8 săpt. +6142 lei  7-13 zile
  Kogan Page – 2 noi 2023 39883 lei  6-8 săpt. +6142 lei  7-13 zile
Hardback (1) 122598 lei  6-8 săpt.
  Kogan Page – 2 noi 2023 122598 lei  6-8 săpt.

Preț: 122598 lei

Preț vechi: 142556 lei
-14% Nou

Puncte Express: 1839

Preț estimativ în valută:
21691 25308$ 18964£

Carte tipărită la comandă

Livrare economică 17-31 ianuarie 26

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781398601741
ISBN-10: 1398601748
Pagini: 496
Dimensiuni: 170 x 240 x 30 mm
Greutate: 0.98 kg
Editura: Kogan Page

Cuprins

Section - ONE: Introduction to Big Data; Chapter - 01: Introduction to Big Data; Chapter - 02: The Big Data framework; Chapter - 03: Big Data strategy; Chapter - 04: Big Data architecture; Chapter - 05: Big Data algorithms; Chapter - 06: Big Data processes; Chapter - 07: Big Data functions; Chapter - 08: Artificial intelligence; Section - TWO: Enterprise Big Data analysis; Chapter - 09: Introduction to Big Data analysis; Chapter - 10: Defining the business objective; Chapter - 11: Data ingestion - importing and reading data sets; Chapter - 12: Data preparation - cleaning and wrangling data; Chapter - 13: Data analysis - model building; Chapter - 14: Data presentation; Section - THREE: Enterprise Big Data engineering; Chapter - 15: Introduction to Big Data engineering; Chapter - 16: Data modelling; Chapter - 17: Constructing the data lake; Chapter - 18: Building an enterprise Big Data warehouse; Chapter - 19: Design and structure of Big Data pipelines; Chapter - 20: Managing data pipelines; Chapter - 21: Cluster technology; Section - FOUR: enterprise Big Data algorithm design; Chapter - 22: Introduction to Big Data algorithm design; Chapter - 23: Algorithm design - fundamental concepts; Chapter - 24: Statistical machine learning algorithms; Chapter - 25: The data science roadmap; Chapter - 26: Programming languages 26 visualization and simple metrics; Chapter - 27: Advanced machine learning algorithms; Chapter - 28: Advanced machine learning classification algorithms; Chapter - 29: Technical communication and documentation; Section - FIVE: Enterprise Big Data architecture; Chapter - 30: Introduction to the Big Data architecture; Chapter - 31: Strength and resilience - the Big Data platform; Chapter - 32: Design principles for Big Data architecture; Chapter - 33: Big Data infrastructure; Chapter - 34: Big Data platforms; Chapter - 35: The Big Data application provider; Chapter - 36: System orchestration in Big Data

Notă biografică


Descriere

Descriere de la o altă ediție sau format:
Transform enterprise big data into valuable assets with this comprehensive guide to data analysis, data engineering, algorithm design and data architecture.