Perspectives on Data Science for Software Engineering

Perspectives on Data Science for Software Engineering

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Podrobná bibliografie
Další autoři:	Menzies, Tim. (Éditeur scientifique), Williams, Laurie., Zimmermann, Thomas (19..-....; auteur en informatique).
Médium:	E-Book
Jazyk:	Anglais
Vydáno:	San Diego, CA : Elsevier Science, 2016.
Autres localisations:	Voir dans le Sudoc
On-line přístup:	Accès à l'E-book

Podobné jednotky

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The Art and Science of Analyzing Software Data
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Engineering analysis with ANSYS software
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Software Design for Engineers and Scientists
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Green Software Engineering : Exploring Green Technology for Sustainable IT Solutions
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Autor: Allbee, Brian.
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Intelligent data engineering and learning : perspectives on financial engineering and data mining
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Data Science for IoT Engineers : A Systems Analytics Approach
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Building VMware software-defined data centers : make the most of software-defined data centers with revolutionary VMware technologies
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Data Engineering with Alteryx : Helping data engineers apply DataOps practices with Alteryx
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Machine Learning Infrastructure and Best Practices for Software Engineers : Take your machine learning software from a prototype to a fully fledged software system
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Ghidra Software Reverse Engineering for Beginners : Analyze, identify, and avoid malicious code and potential threats in your networks and systems
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Data Observability for Data Engineering : Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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Data Analysis for Scientists and Engineers
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Azure Data Engineering Cookbook : Get well versed in various data engineering techniques in Azure using this recipe-based guide
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Data Engineering with AWS : Acquire the skills to design and build AWS-based data transformation pipelines like a pro
Autor: Eagar, Gareth.

Data Engineering with dbt : A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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Data Engineering with Google Cloud Platform : A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud
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Engineering Science
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Science for Engineering
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The essence of software
Autor: Jackson, Daniel (1963-....).
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Understanding Software
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Data Engineering with Scala and Spark : Build streaming and batch pipelines that process massive amounts of data using Scala
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Azure Data Engineer Associate Certification Guide : Ace the DP-203 exam with advanced data engineering skills
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Data Engineering with Databricks Cookbook : Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
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Advanced data analysis and modelling in chemical engineering
Autor: Constales, Denis.
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Embedded software : the works
Autor: Walls, Colin.
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A practical guide to software localization : for translators, engineers and project managers
Autor: Esselink, Bert.
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Engineering Data Mesh in Azure Cloud : Implement data mesh using Microsoft Azure's Cloud Adoption Framework
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Simplifying Data Engineering and Analytics with Delta : Create analytics-ready data that fuels artificial intelligence and business intelligence
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Informatics for materials science and engineering : data-driven discovery for accelerated experimentation and application
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Software Quality Assurance : In Large Scale and Complex Software-intensive Systems
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Certifiable software applications.
Autor: Boulanger, Jean-Louis (1966-....).
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Introduction to software testing
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