Fundamentals of Data Engineering

Gorde:

Xehetasun bibliografikoak
Egile nagusia:	Reis, J
Formatua:	Liburua
Hizkuntza:	ingelesa
Argitaratua:	Mumbai SPD 2022
Gaiak:	CSEDS, Data Engineering
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Data Engineering with Python
nork: Crickard, Paul
Argitaratua: (2020)

Data Engineering with AWS
nork: Eagar, G
Argitaratua: (2021)

Fundamentals of Data Engineering
nork: Reis, Joe & Housley, Matt
Argitaratua: (2024)

DYNAMICS OF SOCIAL CHANGES TRAJECTORY THROUGH LITERARY AND LINGUISTIC STUDIES
nork: SARKAR SUDARSANA
Argitaratua: (2024)

Best Practices in DATA CLEANING
nork: Osborne, J W
Argitaratua: (2019)

Big Data Analytics
nork: Kamal, Raj

Data Engineering with Apache Spark
nork: Kukreja, Manoj
Argitaratua: (2021)

Data Structure Algorithms and Analysis
nork: Mehta, A I
Argitaratua: (2020)

Advanced Algorithms and Data Structures
nork: Rocca,M L
Argitaratua: (2021)

An Introduction to Spatial Data Analysis
nork: Wegmann, Martin
Argitaratua: (2020)

Ethics and Data Science
nork: Loukides, M
Argitaratua: (2022)

Spatial Data Analysis
nork: Lloyd, C D
Argitaratua: (2010)

Principles of Data Wrangling
nork: Rattenbury,T
Argitaratua: (2023)

Multivariate Data Analysis
nork: Hair,Joseph F
Argitaratua: (2019)

Essential Math for Data Science:Take Control Of Your Data
nork: Nield, T
Argitaratua: (2023)

Reliability Engineering
nork: Balaguruswamy, E
Argitaratua: (2009)

Practical Statistics for Data Scientists
nork: Bruce, Peter
Argitaratua: (2024)

Big Data using Hadoop and Hive
nork: Kumar, Nitin
Argitaratua: (2021)

Spatial Data Analysis:Theory and Practice
nork: Haining, R
Argitaratua: (2003)

Statistical Mehods for Spatial Data Analysis
nork: Schabenberger, Oliver
Argitaratua: (2005)

Data Mining for Business Analytics :Concepts,Techniques and Applications in R
nork: Shmueli, G
Argitaratua: (2021)

Machine Learning Design Patterns: Solution to Common Challenges in Data Preparation
nork: Lakshmanan, V
Argitaratua: (2021)

Privacy and Big Data
nork: Craig,T
Argitaratua: (2011)

Bad Data Handbook
nork: McCallum, E
Argitaratua: (2013)

Database Reliability Engineering:Designing and Operating Resilient Database Systems
nork: Campbell, L
Argitaratua: (2022)

Big Data Analysis
nork: Shankarmani, Radha
Argitaratua: (2017)

Learning Microsoft Power BI:Transforming Data into Insights
nork: Arnold,J
Argitaratua: (2022)

Practical Statistics for Data Scientists
nork: Bruce, Peter
Argitaratua: (2021)

Python for Data Analysis
nork: Mckinney, Wes
Argitaratua: (2017)

Foundation of Deep Reinforcement Learning: theory and Prac in Python
nork: Graesser, L
Argitaratua: (2022)

Blockchain for Dummies
nork: Laurence, T
Argitaratua: (2022)

Algorithms and Parallel Computing
nork: Gebali,F
Argitaratua: (2011)

Time Series Forecasting
nork: Chatfield, Chris
Argitaratua: (2017)

Mastering Probabilistic Graphical Models Using Python
nork: Ankan, Ankur
Argitaratua: (2015)

Reinforcement Learning
nork: Sutton, R S
Argitaratua: (1998)

Deep Learning for Vision Systems
nork: Elgendy, Mohamed
Argitaratua: (2020)

Mastering Reinforcement Learning with Python
nork: Bilgin, Enes
Argitaratua: (2020)

NATURAL LANGUAGE PROCESSING AND INFORMATION RETRIEVAL
nork: SIDDIQUI, T.
Argitaratua: (2009)

Practical Time Series Analysis :Prediction with Statistics and Machine Learning
nork: Nielsen, Aileen
Argitaratua: (2019)

MakeoverMonday
nork: Kriebel, A
Argitaratua: (2018)