Unveiling Insights A Comprehensive Guide To Data Mining With Sql Server
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Unveiling Insights: A Comprehensive Guide to Data Mining with SQL Server
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-04-10
In a data-driven world, organizations that can effectively harness the power of information have a distinct advantage. Data mining, the process of extracting valuable insights from vast amounts of data, has become an indispensable tool for businesses seeking to improve decision-making, optimize operations, and gain a competitive edge. This comprehensive guide to data mining provides a thorough introduction to the field, empowering readers with the knowledge and skills they need to unlock the full potential of their data. From the fundamental concepts and methodologies to the latest advancements and applications, this book covers everything you need to know to become a proficient data miner. With clear explanations and real-world examples, the book delves into the various data mining techniques, including supervised learning, unsupervised learning, and advanced methods like time series analysis and graph mining. You'll learn how to prepare and preprocess data, select the appropriate algorithms for your specific needs, and evaluate the results to make informed decisions. The book also explores the diverse applications of data mining across a wide range of industries, including business, healthcare, finance, and manufacturing. Discover how data mining can be used to improve customer relationship management, detect fraud, optimize supply chains, diagnose diseases, assess financial risks, and much more. Furthermore, the book emphasizes the ethical considerations and challenges associated with data mining, such as data privacy, algorithmic bias, and the responsible use of AI. By understanding these considerations, readers can ensure that data mining is conducted in a responsible and ethical manner, benefiting society while respecting individual rights and freedoms. Whether you're a business professional, a data analyst, or a student seeking to expand your knowledge, this book provides the essential foundation and practical guidance you need to master data mining and unlock the hidden value in your data. If you like this book, write a review!
Data Analysis Using SQL and Excel
Author: Gordon S. Linoff
language: en
Publisher: John Wiley & Sons
Release Date: 2010-09-16
Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.
Introducing Microsoft SQL Server 2019
Author: Kellyn Gorman
language: en
Publisher: Packt Publishing Ltd
Release Date: 2020-04-27
Explore the impressive storage and analytic tools available with the in-cloud and on-premises versions of Microsoft SQL Server 2019. Key FeaturesGain insights into what’s new in SQL Server 2019Understand use cases and customer scenarios that can be implemented with SQL Server 2019Discover new cross-platform tools that simplify management and analysisBook Description Microsoft SQL Server comes equipped with industry-leading features and the best online transaction processing capabilities. If you are looking to work with data processing and management, getting up to speed with Microsoft Server 2019 is key. Introducing SQL Server 2019 takes you through the latest features in SQL Server 2019 and their importance. You will learn to unlock faster querying speeds and understand how to leverage the new and improved security features to build robust data management solutions. Further chapters will assist you with integrating, managing, and analyzing all data, including relational, NoSQL, and unstructured big data using SQL Server 2019. Dedicated sections in the book will also demonstrate how you can use SQL Server 2019 to leverage data processing platforms, such as Apache Hadoop and Spark, and containerization technologies like Docker and Kubernetes to control your data and efficiently monitor it. By the end of this book, you'll be well versed with all the features of Microsoft SQL Server 2019 and understand how to use them confidently to build robust data management solutions. What you will learnBuild a custom container image with a DockerfileDeploy and run the SQL Server 2019 container imageUnderstand how to use SQL server on LinuxMigrate existing paginated reports to Power BI Report ServerLearn to query Hadoop Distributed File System (HDFS) data using Azure Data StudioUnderstand the benefits of In-Memory OLTPWho this book is for This book is for database administrators, architects, big data engineers, or anyone who has experience with SQL Server and wants to explore and implement the new features in SQL Server 2019. Basic working knowledge of SQL Server and relational database management system (RDBMS) is required.