Data-driven Modelling – alle Bücher, Seite 3

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Narasimha Sadineni, Anuyogam Venkataraman
Dataproc Cookbook

Want to build big data solutions in Google Cloud? Dataproc Cookbook is your hands-on guide to mastering Dataproc and the essential GCP fundamentals--like networking, security, monitoring, and cost optimiz…

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Luanne Misquitta, Christophe Willemsen
Neo4j: The Definitive Guide

Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to pow…

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Chad Sanderson, Mark Freeman, B E Schmidt
Data Contracts

Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams st…

lieferbar ab 9.12.2025.

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Pawel Tokaj, Jia Yu, Mo Sarwat
Cloud Native Geospatial Analytics with Apache Sedona

Navigating the complexities of large-scale spatial data can be daunting. In order to unleash the power of massive and complex datasets, you'll need a cutting-edge tool like Apache Sedona. This innovative …

lieferbar ab 3.2.2026.

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Making Data

This is the first work to explore the theory, history and processes of physical representations of data

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Mike Chapple, Sharif Nijim
Comptia Data+ Study Guide

Prepare for the CompTIA Data+ exam, as well as a new career in data science, with this effective study guideIn the newly revised second edition of CompTIA Data+ Study Guide: Exam DA0-002, veteran IT profe…

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Ben Greenberg
Vector Search with JavaScript

Cut through the complexity and apply AI-driven vector search strategies to deliver smarter, more intuitive search experiences that keep users engaged.Make search results smarter and more useful for everyd…

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Jay Borthen
Building Data Integration Solutions

Are you struggling to manage and make sense of the vast streams of data flowing into your organization? In today's data-driven world, the ability to effectively unify and organize disparate data sources i…

lieferbar ab 2.12.2025.

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Alexei A Gaivoronski, Pavel S Knopov, Vladimir I Norkin, Volodymyr A Zaslavskyi
Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection, Volume 1

Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection is a thorough exploration of mathematical models and tools that are designed to strengthen critical infrastructures agai…

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Vasundra Srinivasan
Data Engineering for Multimodal AI

A shift is underway in how organizations approach data infrastructure for AI-driven transformation. As multimodal AI systems and applications become increasingly sophisticated and data hungry, data system…

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Dr. John P. Wilson
Spatial Data Science

Spatial Data Science will show GIS scientists and practitioners how to add and use new analytical methods from data science in their existing GIS platforms. By explaining how the spatial domain can provid…

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Shiyan Xu, Prashant Wason, Bhavani Sudha Saktheeswaran, Rebecca Bilbro
Apache Hudi: The Definitive Guide

Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover ho…

lieferbar ab 2.12.2025.

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Jay Wengrow
A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 2

Want to write code that pushes the boundaries of speed, space savings, and scalability? Then you need more advanced data structures and algorithms. Go beyond Big O notation and evaluate the true efficienc…

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Sakti Mishra, Dylan Qu, Anusha Challa
AWS Certified Data Engineer Associate Study Guide

There's no better time to become a data engineer. And acing the AWS Certified Data Engineer Associate (DEA-C01) exam will help you tackle the demands of modern data engineering and secure your place in th…

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Samir Tigane, Laid Kahloul, Abdelhamid Mellouk
Enhancing Stochastic Petri Nets with Reconfigurability

This book explores the world of reconfigurable stochastic Petri nets (RSPNs), a powerful method for modeling and verifying complex, dynamic and reconfigurable systems. As modern discrete-event systems bec…

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Y Chen
Financial Data Analytics with Machine Learning, Op timization and Statistics

PRAISE FOR FINANCIAL DATA ANALYTICS"Really interesting, and an impressive masterpiece! Financial Data Analytics contains a rich amount of material, with original research findings in almost every cha…

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Greg Nudelman,
UX for AI

An expert playbook for UX professionals researching, designing, and testing AI-powered productsIn UX for AI: A Framework for Designing AI-Driven Products, Greg Nudelman - a seasoned UX designer and AI str…

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Steven W Popper, Richard Silberglitt, Fabian Villalobos
Build Thee More Stately Mansions

This report presents findings from workshops in which participants envisioned possible pathways for the United States economy in 2040 to meet domestic and national security needs in a future characterized…

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Soumitra R Joy, Pinaki Mazumder
Artificial Plasmonics for VLSI Interconnects

Build the microchips of the future with this revolutionary new information transfer technologyAdvancements in high-performance computing have continually demanded for progresses in disruptive technologica…

lieferbar ab 19.11.2025.

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Stephen Dawe, Daniela Galatro
Data Analytics for Process Engineers

This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modell…

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