Database design and theory

Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security.

Many organizations today analyze and share large, sensitive datasets about individuals.

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse.

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse.

The world's businesses ingest a combined 2.

The world's businesses ingest a combined 2.

How can you make sense of the complex IoT landscape?

How can you make sense of the complex IoT landscape?

Metaphor and Corpus Linguistics: Building and Investigating an English as a Medium of Instruction Corpus offers a model for building a corpus of oral EMI seminars.

Metaphor and Corpus Linguistics: Building and Investigating an English as a Medium of Instruction Corpus offers a model for building a corpus of oral EMI seminars.

The immense increase on the size and type of real time data generated across various edge computing platform results in unstructured databases and data silos.

TikTok hat die digitale Welt im Sturm erobert und die Art und Weise, wie wir Inhalte konsumieren und produzieren, revolutioniert.

Many librarians' job responsibilities increasingly require them to understand and handle data.

Want to build big data solutions in Google Cloud?

Used by more than 80% of Fortune 100 companies, Apache Kafka has become the de facto event streaming platform.

This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies.

Databases have become an integral part of modern-day life.

Used by more than 80% of Fortune 100 companies, Apache Kafka has become the de facto event streaming platform.

Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis.

Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis.

This richly illustrated book examines the full potential of Digital Twins (DTs) as a means of creating more sustainable urban habitats.

This richly illustrated book examines the full potential of Digital Twins (DTs) as a means of creating more sustainable urban habitats.

Analyze large datasets directly from R.

Data has been a missing part of most academic curriculums for a long time, and we're all being affected.

Data has been a missing part of most academic curriculums for a long time, and we're all being affected.

This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries.

This book explores the transformative impact of drone technology and unmanned aerial systems (UAS) across diverse industries, from precision agriculture and logistics to disaster response and forensic investigations.

Libro especializado que se ajusta al desarrollo de la cualificación profesional y adquisición del certificado de profesionalidad "IFCT0310 - ADMINISTRACIÓN DE BASES DE DATOS".

While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up.

While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up.

Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and pandasKey FeaturesUnderstand the fundamental concepts of exploratory data analysis using PythonFind missing values in your data and identify the correlation between different variablesPractice graphical exploratory analysis techniques using Matplotlib and the Seaborn Python packageBook DescriptionExploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain insights into a dataset.

Leverage the power of machine learning on mobiles and build intelligent mobile applications with easeKey FeaturesBuild smart mobile applications for Android and iOS devicesUse popular machine learning toolkits such as Core ML and TensorFlow LiteExplore cloud services for machine learning that can be used in mobile appsBook DescriptionMachine learning presents an entirely unique opportunity in software development.

Get up and running with the fundamentals of Bitcoin and blockchainKey FeaturesLearn quick, effective, and easy ways to master blockchain and Bitcoin Understand the impact of decentralization and discover ways to tackle it Explore the future of Bitcoin and blockchain and implement them in a business networkBook DescriptionBlockchain is a distributed database that enables permanent, transparent, and secure storage of data.

Java ME ist zwar weder eine neue noch eine besonders beliebte Technologie.

This book is a timely and critical introduction for those interested in what data science is (and isn't), and how it should be applied.

This book is a timely and critical introduction for those interested in what data science is (and isn't), and how it should be applied.

Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality.

Applied Analysis of Composite Media: Analytical and Computational Approaches presents formulas and techniques that can used to study 2D and 3D problems in composites and random porous media.

Create interpretable AI models for transparent and explainable anomaly detection with this hands-on guidePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesBuild auditable XAI models for replicability and regulatory complianceDerive critical insights from transparent anomaly detection modelsStrike the right balance between model accuracy and interpretabilityBook DescriptionDespite promising advances, the opaque nature of deep learning models makes it difficult to interpret them, which is a drawback in terms of their practical deployment and regulatory compliance.

Get better insights from time-series data and become proficient in model performance analysisKey FeaturesExplore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time series via real-world case studies on operations management, digital marketing, finance, and healthcareBook DescriptionThe Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries and new models.

Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent microservices systems using examples and case studiesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesDesign, build, and run microservices systems that utilize the full potential of machine learningDiscover the latest models and techniques for combining microservices and machine learning to create scalable systemsImplement machine learning in microservices architecture using open source applications with pros and consBook DescriptionWith the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems.

In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategies includes real-world case studies and examples from diverse marketing domains.

While most discoverability evaluation studies in the Library and Information Science field discuss the intersection of discovery layers and library systems, this book looks specifically at digital repositories, examining discoverability from the lenses of system structure, user searches, and external discovery avenues.

While most discoverability evaluation studies in the Library and Information Science field discuss the intersection of discovery layers and library systems, this book looks specifically at digital repositories, examining discoverability from the lenses of system structure, user searches, and external discovery avenues.