Data warehousing Books

Gain a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineeringKey Features- Discover how analytics engineering aligns with your organization's data strategy- Access insights shared...

Design and build solutions with the most powerful document database, MongoDBKey Features:Learn from the experts about every new feature in MongoDB 6 and 5Develop applications and administer clusters using MongoDB on premise or in the cloudExplore...

Learn how to implement successful Azure Data projects and get the skills to clear the DP-900 certification exam with the help of mock tests and self-assessment scenarios for better preparationKey Features:Get the knowledge you need to pass the DP-900...

Learn data architecture essentials and prepare for the Salesforce Certified Data Architect exam with the help of tips and mock test questionsKey Features:Leverage data modelling, Salesforce database design, and techniques for effective data designLearn...

The trend in scientific, as well as commercial, applications from a diverse range of fields has been towards being more and more data-intensive over time. Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information...

Machine audition is the study of algorithms and systems for the automatic analysis and understanding of sound by machine. It has recently attracted increasing interest within several research communities, such as signal processing, machine learning,...

With the advent of the World Wide Web, electronic commerce has revolutionized traditional commerce, boosting sales and facilitating exchanges of merchandise and information. The emergence of wireless and mobile networks has made possible the introduction...

As consumer costs for multimedia devices such as digital cameras and Web phones have decreased and diversity in the market has skyrocketed, the amount of digital information has grown considerably. Intelligent Multimedia Databases and Information...

Graphs are a powerful tool for representing and understanding objects and their relationships in various application domains. The growing popularity of graph databases has generated data management problems that include finding efficient techniques for...

The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research...

Over the years, advances in the business world as well as the changing of diverse application contexts, have caused Data Warehousing and Data Mining to become more paramount in our society. The two share many common issues and are commonly interrelated...

Databases are designed to support data storage, processing, and retrieval activities related to data management. The use of databases in various applications has resulted in an enormous wealth of data, which populates many types of databases around the...

Confidently orchestrate your data pipelines with Apache Airflow by applying industry best practices and scalable strategiesKey Features:- Understand the steps for migrating from Airflow 1.x to 2.x and explore the new features and improvements in version...

Book summary: Discover the world of data science, from its evolution to the future of the field, as you explore data foundations, mining and machine learning, advanced analytics, visualization and communication, ethical considerations, and the role of...

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data...

Harness the power of Microsoft Fabric to develop data analytics solutions for various use cases guided by step-by-step instructionsKey FeaturesExplore Microsoft Fabric and its features through real-world examplesBuild data analytics solutions for...

Leverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your dataKey Features:Learn to ingest, prepare, manage, and serve data for immediate business requirementsBring enterprise data warehousing and big data...

Even in this digital age, many libraries and small archives often use microfilm and microfiche to display important information. There are many types of devices for reading these media, and many ways to use and, unfortunately, misuse these technologies...

Embark on the data journey with the ultimate guide to Snowflake masteryDESCRIPTION Handling ever evolving data for business needs can get complex. Traditional methods create bulky and costly-to-maintain data systems. Here, Snowflake emerges as a...

A data warehouse (DW) is a system used in computing for data analysis and reporting. It is a core component of business intelligence. It stores integrated historical and current data from one or more sources. Data can be characterized according to data...

Learn how to institute and implement enterprise architecture in your organization. You can make a quick start and establish a baseline for your enterprise architecture within ten weeks, then grow and stabilize the architecture over time using the proven...

Do your business intelligence (BI) projects take too long to deliver? Is the value of the deliverables less than satisfactory? Do these projects propagate poor data management practices?If you screamed “yes” to any of these questions, read...

Imagine spending a day with top analytical leaders and asking any question you want. In this book, Wayne Eckerson illustrates analytical best practices by weaving his perspective with commentary from seven directors of analytics who unveil their secrets...

Business data integration is a complex problem that must be solved when organizations change or enhance their internal structures. The goal of this book is to present a simple yet thorough resource that describes the challenges of business data...

Learn essential techniques from data warehouse legend Bill Inmon on how to build the reporting environment your business needs now!Answers for many valuable business questions hide in text. How well can your existing reporting environment extract the...

Understand the fundamentals of Kubernetes deployment on Azure with a learn-by-doing approachKey Features:Get to grips with the fundamentals of containers and KubernetesDeploy containerized applications using the Kubernetes platformLearn how you can scale...

'Hands-On Azure Data Platform' helps readers get a fundamental understanding of the Database, Data Warehouse, and Data Lake and their management on the Azure Data Platform.The book describes how to work efficiently with Relational and Non-Relational...

Data warehouses differ significantly from traditional transaction-oriented operational database applications. Indexing techniques and index structures applied in the transaction-oriented context are not feasible for data...

Business intelligence (BI) used to be so simple—in theory anyway.  Integrate and copy data from your transactional systems into a specialized relational database, apply BI reporting and query tools and add business users.  Job done...

Build and design multiple types of applications that are cross-language, platform, and cost-effective by understanding core Azure principles and foundational concepts Key FeaturesGet familiar with the different design patterns available in Microsoft...

Everything you need to know to apply data contracts and build a truly data-driven organization that harnesses quality data to deliver tangible business valuePurchase of the print or Kindle book includes a free PDF eBook.Key Features:Understand data...

Explore the latest Azure ETL techniques both on-premises and in the cloud using Azure services such as SQL Server Integration Services (SSIS), Azure Data Factory, and Azure DatabricksKey FeaturesUnderstand the key components of an ETL solution using...

Begin your journey toward efficient data manipulation with this robust technical guide and enhance your aggregation skills while building efficient pipelines for a variety of tasksKey Features:Build effective aggregation pipelines for increased...

Overcome data mesh adoption challenges using the cloud-scale analytics framework and make your data analytics landscape agile and efficient by using standard architecture patterns for diverse analytical workloadsKey FeaturesDelve into core data mesh...

Master the most agile and resilient design for building analytics applications: the Unified Star Schema (USS) approach. The USS has many benefits over traditional dimensional modeling. Witness the power of the USS as a single star schema that...

The relational model of data was invented by one man, E. F. ("Ted") Codd, during his employment in the late 1960s and early 1970s at the IBM Research Laboratory in San Jose, California. Today, virtually all general purpose database systems are...

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...

Learn the essentials of data integration with this comprehensive guide, covering everything from sources to solutions, and discover the key to making the most of your data stackKey FeaturesLearn how to leverage modern data stack tools and technologies...

E. F. Codd's relational model of data has been described as one of the three greatest inventions of all time (the other two being agriculture and the scientific method), and his receipt of the 1981 ACM Turing Award, the top award in computer science, for...

Gain hands-on experience in building efficient and scalable big data architecture on Kubernetes, utilizing leading technologies such as Spark, Airflow, Kafka, and TrinoKey Features:- Leverage Kubernetes in a cloud environment to integrate seamlessly with...

DESCRIPTION Snowflake, a revolutionary cloud data warehouse platform, has gained immense popularity due to its scalability, performance, and ease of use. This comprehensive guide is designed with the knowledge and skills necessary to pass the...

Gain MongoDB expertise and discover advanced queries and Atlas insights with this ultimate guide to version 7.0Key FeaturesEnhance your proficiency in advanced queries, aggregation, and optimized indexing to achieve peak MongoDB performanceMonitor, back...

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...