Database design and theory Books

Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful resultsKey Features:- Master the concepts of statistics and ML to interpret models and guide decisions-...

Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much moreKey FeaturesAcquire highly sought-after skills of the trade, including Python, SQL,...

Get up to speed with using Mermaid diagrams to facilitate a seamless development workflow with the help of real-world examples and expert tips from the creators of the toolKey Features:Learn how to use and customize the different diagram types in...

Choose the right Azure data service and correct model design for successful implementation of your data model with the help of this hands-on guideKey Features:Design a cost-effective, performant, and scalable database in AzureChoose and implement the...

Learn everything you need to become a successful data architect on the Salesforce platformKey Features:Adopt best practices relating to data governance and learn how to implement themLearn how to work with data in Salesforce while maintaining scalability...

A practical guide to implementing a scalable and fast state-of-the-art analytical data estateKey Features:Store and analyze data with enterprise-grade security and auditingPerform batch, streaming, and interactive analytics to optimize your big data...

Leverage the power of Microsoft Azure Data Factory v2 to build hybrid data solutions Key Features Combine the power of Azure Data Factory v2 and SQL Server Integration ServicesDesign and enhance performance and scalability of a modern ETL hybrid...

Get to grips with building and productionizing end-to-end big data solutions in Azure and learn best practices for working with large datasetsKey Features:Integrate with Azure Synapse Analytics, Cosmos DB, and Azure HDInsight Kafka Cluster to scale and...

Troubleshoot query performance issues, identify anti-patterns in code, and write efficient T-SQL queriesKey Features:Discover T-SQL functionalities and services that help you interact with relational databasesUnderstand the roles, tasks, and...

The book is an introduction to complex networks and complex network analysis. It guides the reader through the network construction, exploration, and visualization process (both by hand in Gephi and in Python using modules networkx and community). The...

Essential to database design, entity-relationship (ER) diagrams are known for their usefulness in data modeling and mapping out clear database designs. They are also well-known for being difficult to master. With Database Design Using Entity-Relationship...

Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and...

Praise for the first edition:[This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. ... [It] is a valuable book, especially with its broad and accessible introduction of models...

In this multidisciplinary book, experts from around the globe examine how data-driven political campaigning works, what challenges it poses for personal privacy and democracy, and how emerging practices should be regulated.The rise of big data analytics...

Gain extensive, practical knowledge of 3D design with Adobe Substance 3D and learn to build a comprehensive portfolio of work with this interactive bookKey Features:Find out how to use Adobe Substance 3D swiftly and with little prior knowledgeUse a...

Solve real-world data problems and create data-driven workflows for easy data movement and processing at scale with Azure Data FactoryKey FeaturesLearn how to load and transform data from various sources, both on-premises and on cloudUse Azure Data...

Publisher's Note: This edition from 2018 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new second edition, updated for 2020 with coverage of neural network implementation, reinforcement...

Harness the power and simplicity of Informatica PowerCenter 10.x to build and manage efficient data management solutionsKey FeaturesMaster PowerCenter 10.x components to create, execute, monitor, and schedule ETL processes with a practical approach.An...

Learn how to apply powerful data analysis techniques with popular open source Python modules Key Features Find, manipulate, and analyze your data using the Python 3.5 librariesPerform advanced, high-performance linear algebra and mathematical...

Pattern Analysis and cluster mapping made easy Key Features:Analyze patterns, clusters, and spatial relationships using ArcGIS toolsGet up to speed in R programming to create custom tools for analysisSift through tons of crime and real estate data and...

Break through the hype and learn how to extract actionable intelligence from the flood of IoT dataKey FeaturesMake better business decisions and acquire greater control of your IoT infrastructureLearn techniques to solve unique problems associated with...

Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP...

Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms...

Machine learning has become a buzzword in today's technological landscape, and it is crucial for everyone, regardless of their background, to have a basic understanding of this concept. This subchapter aims to demystify machine learning and provide a...

This book addresses issues during the Covid phase and post-Covid phase through mathematical modeling.

Implement machine learning pipelines with Google Cloud Vertex AIKey Features:Understand the role of an AI platform and MLOps practices in machine learning projectsGet acquainted with Google Vertex AI tools and offerings that help accelerate the creation...

Take your first steps to becoming a fully qualified data analyst by learning how to explore complex datasetsKey Features:Master each concept through practical exercises and activitiesDiscover various statistical techniques to analyze your dataImplement...

A comprehensive guide for data scientists to master effective data cleaning tools and techniquesKey Features:Think about your data intelligently and ask the right questionsMaster data cleaning techniques using hands-on examples belonging to diverse...

Drive value and insight by developing business critical applications with QlikView 12Key FeaturesDevelop your own scalable and maintainable QlikView applicationsLearn time-saving techniques for making your QlikView development more efficientA one-stop...

An example-rich, comprehensive guide for all of your Python computational needsKey FeaturesYour ultimate resource for getting up and running with Python numerical computationsExplore numerical computing and mathematical libraries using Python 3.x code...

This book is a textbook for a first graduate or advanced undergraduate computer science course on database systems. The author's decades of experience with a database vendor, with an organization that develops database applications and teaching graduate...