Designing Data Intensive Applications: The Big Ideas Behind Reliable , Scalable and Maintainable Sys

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Xehetasun bibliografikoak
Egile nagusia:	Kleppmann,M
Formatua:	Liburua
Hizkuntza:	ingelesa
Argitaratua:	Mumbai SPD 2023
Gaiak:	AIML
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Designing data-intensive applications : the big ideas behind reliable, scalable, and maintainable systems
nork: Kleppmann, Martin
Argitaratua: (2020)

Data Mining and Data Warehousing
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Argitaratua: (2022)

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Data Structures using C and C++
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Digital Logic and Computer Design
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Argitaratua: (2016)

Database Systems: Design, Implementation and Management
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Advanced Applied Deep Learning:Convolutional Neural Network
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Learn Web Development with Python
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Machine Learning Engineering
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Docker: Up and running
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Hands On Explainable AI(XAI) with Python
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Argitaratua: (2021)

SQL and PL/SQL for Oracle 11g
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Argitaratua: (2020)

Elements of Discrete Mathematics
nork: Lie, C L
Argitaratua: (1985)

Discrete Mathematics
nork: Lipschtz, S
Argitaratua: (2013)

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Argitaratua: (2005)

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Designing data intensive applications

Probability, queueing theory and reliability engineering
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Argitaratua: (2010)

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Argitaratua: (2014)

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Argitaratua: (1975)

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nork: Muralidharan, K
Argitaratua: (2012)

Statistical methods for quality, reliability and maintainability
nork: Murlidharan, K.
Argitaratua: (2012)

Statistical methods for quality, reliability and maintainability
nork: Muralidharan, K.
Argitaratua: (2012)

Handbook on Data Mining
nork: Shah, Arati
Argitaratua: (2022)

Discrete mathematics and its applications
nork: Rosen Kenneth H

RELIABILITY, AVAILABILITY, MAINTAINABILITY FOR ENGINEERS, CONSULTANTS AND MANAGERS
nork: GOVIL A K
Argitaratua: (1983)

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Big Data: Principles and Best Practices of Scalable Real-Time Data Systems
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Big Data: Principles and Best Practices of Scalable Real-Time Data Systems
nork: Vercellis, Carlo
Argitaratua: (2018)