Database design and theory Books

"How is the Data Science project to be implemented?" has never been more conceptually sounding, thanks to the work presented in this book. This book provides an in-depth look at the current state of the world's data and how Data Science plays a pivotal...

This book constitutes the refereed post-conference proceedings of the Special Event on the Analysis of Experimental Algorithms, SEA² 2019, held in Kalamata, Greece, in June 2019.The 35 revised full papers presented were carefully reviewed and selected...

While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to push new information to clients. Systems for data stream management and processing, on the other hand, are natively...

A practical guide to implementing your enterprise data lake using Lambda Architecture as the baseKey Features:Build a full-fledged data lake for your organization with popular big data technologies using the Lambda architecture as the baseDelve into the...

Explore the great features of the all-new JIRA 7 to manage projects and effectively handle bugs and software issuesKey FeaturesUpdated for JIRA 7, this book covers all the new features introduced in JIRA 7 with a dedicated chapter on JIRA Service...

The Align > Refine > Design series covers conceptual, logical, and physical data modeling (schema design and patterns) for leading technologies, combining proven data modeling practices with database-specific features to produce better applications...

For internal auditors, developing trends in data analysis and data science can feel less like a wealth of information and more like an avalanche. Still, better use of data provides an opportunity to advance your career by adopting new, invaluable skills...

Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters...

Hashing algorithms scramble data and create pseudo-uniform data distribu­ tions. Bucket algorithms operate on raw untransformed data which are parti­ tioned Into groups according to membership In equl-slzed d-dlmenslonal...

The project is based on the benefits of Design by Contract on testing. If contracts- preconditions, postconditions, class invariants - are systematically associatedwith classes, they provide an invaluable source of information forproducing systematic...

Looking to revolutionize your data transformation game with AWS? Look no further! From strong foundations to hands-on building of data engineering pipelines, our expert-led manual has got you covered.Key FeaturesDelve into robust AWS tools for ingesting,...

Perform time series analysis using KNIME Analytics Platform, covering both statistical methods and machine learning-based methodsKey Features:Gain a solid understanding of time series analysis and its applications using KNIMELearn how to apply popular...

Explore all the tools and templates needed for data scientists to drive success in their biotechnology careers with this comprehensive guideKey Features:Learn the applications of machine learning in biotechnology and life science sectorsDiscover exciting...

"Data Science Projects for Thesis and Portfolio: Solving Political Problems" is a must-have guide for students, researchers, and professionals seeking to apply Artificial Intelligence (AI) and Machine Learning (ML) to political science. This book...

A perfect guide to speed up the predicting power of machine learning algorithmsKey Features:Design, discover, and create dynamic, efficient features for your machine learning applicationUnderstand your data in-depth and derive astonishing data insights...

Der vorliegende Text solI Studenten von Fachhochschulen, Berufsaka­ demien und vergleichbaren Einrichtungen einen raschen, herstellerneu­ tralen Einstieg in die Welt der Datenstrukturen und Datenbanken geben. Dazu kann der Text...

Over 90 recipes to help data scientists and AI engineers orchestrate modern ETL/ELT workflows and perform analytics using Azure services more easilyKey Features:Discover how to work with different SQL and NoSQL data stores in Microsoft AzureCreate and...

Create end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python librariesKey Features:Learn and implement feature engineering best practicesReinforce your learning with the help of multiple...

Make data-driven, informed decisions and enhance your statistical expertise in Python by turning raw data into meaningful insightsPurchase of the print or Kindle book includes a free PDF eBookKey Features:Gain expertise in identifying and modeling...

Nearly 80 recipes to help you collect and transform data from multiple sources into a single data source, making it way easier to perform analytics on the dataKey Features:Build data pipelines from scratch and find solutions to common data engineering...

Find all the information, exercises, and tools to ace the Splunk Enterprise Certified Admin exam in one place Key Features:Explore various administration topics including installation, configuration, and user managementGain a deep understanding of data...

This book covers various design problems related to the VLSI modulation circuits and their applications in the areas of signal processing, data conversion, and power management. It provides a good reference for learning through problem solving of PWM...

Cet ouvrage présente les types d'arbres les plus utilisés en informatique, sous les angles algorithmique et mathématique. Pour chaque type, nous donnons les algorithmes courants associés et des exemples d'utilisation, directe ou en modélisation, puis...

This book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-step self-study guide for everyone interested in...

This accessible and engaging textbook/guide provides a concise introduction to data structures and associated algorithms. Emphasis is placed on the fundamentals of data structures, enabling the reader to quickly learn the key concepts, and providing a...

Supercharge and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scaleKey Features:Leverage supervised learning to build binary classification, multi-class classification,...

Build faster and efficient real-world applications on the cloud with a fitting database model that's perfect for your needsKey FeaturesFamiliarize yourself with business and technical considerations involved in modeling the right databaseTake your data...

Harness the power of deep learning to drive productivity and efficiency using this practical guide covering techniques and best practices for the entire deep learning life cycleKey Features:Interpret your models' decision-making process, ensuring...

Database Semantics: Semantic Issues in Multimedia Systems reflects the state of the art of emerging research on the meaning of multimedia information, as presented during IFIP's Eighth Data Semantics Working Conference...

Mastering material for dealing with DBA certification examsKey FeaturesPrepare yourself for the IBM C2090-600 certification examCover over 50 Db2 procedures including database design, performance, and securityWork through over 150 Q&As to gain confidence...

Discover Unreal Engine 5's networking techniques, to create your own scalable and fully functional multiplayer game experiences with passionate game programming teacher, Marco SecchiKey Features:- Design a captivating multiplayer game using networking...

Build robust applications in C# easily using effective and popular design patterns and best practicesKey Features:Recognize solutions to common problems in software design with C#Explore real-world applications of design patterns that can be used in your...

Build and deploy your AI models successfully by exploring model governance, fairness, bias, and potential pitfallsPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn ethical AI principles, frameworks, and governanceUnderstand...

Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and KafkaKey Features:Develop modern data skills used in emerging technologiesLearn pragmatic design methodologies such as Data Mesh and data lakehousesGain a deeper...

Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3Key FeaturesGet to grips with the basics of Computer Vision and image processingThis is a step-by-step guide to developing several real-world...