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Get up to speed with the new features added to Microsoft SQL Server 2019 Analysis Services and create models to support your businessKey FeaturesExplore tips and tricks to design, develop, and optimize end-to-end data analytics solutions using Microsoft's technologiesLearn tabular modeling and multi-dimensional cube design development using real-world examplesImplement Analysis Services to help you make productive business decisionsBook DescriptionSQL Server Analysis Services (SSAS) continues to...

Companies and financial institutions are employing operational information systems in an efficient way. While they have consolidated a strong level of knowledge in management information systems, there is still a lack of knowledge on the right way to apply customer relationship management (CRM) systems under a business perspective. Most of the companies are still having problems in evaluating how CRM can meet with the expected results. The level of complexity is perceived both under a technologi...

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Best Practices for JD Edwards EnterpriseOne Tuning and OptimizationAchieve peak performance from your ERP platform while minimizing downtime and lowering TCO. Advanced Tuning for JD Edwards EnterpriseOne Implementations shows how to plan and adopt a structured, top-to-bottom maintenance methodology. Uncover a...

The business landscape is evolving rapidly, and with that comes a massive amount of data that organizations must manage. However, many professionals and researchers need help to leverage this data effectively, as there is a lack of comprehensive guidance on integrating data analytics into management practices. Pioneering Approaches in Data Management bridges this gap by providing a framework that combines theoretical concepts with practical applications, empowering readers to use data analytics...

This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms. It reviews the design considerations, challenges, and best practices for implementing a lakehouse and provides key insights into the ways that using a lakehouse can impact your data platform, from managing structured and unstructured data and supporting BI and AI/ML use cases to enabling more rigorous data governance and security measures. Practical Lakehouse Architecture...

This is the first book to be published on the topic of data quality exploration, analytics and quantitative data cleaning. The author provides a sound technical grounding in the subject and shows readers, through examples and practical case studies, how to apply statistics and data mining techniques to their own data quality issues. An overview of data quality analytics and techniques for data quality improvement is provided, and the author also present an iterative framework for the detection,...

This open access book presents a collection of papers focusing on current 3D research challenges in the domain of digital cultural heritage. 3D technologies find considerable use within the field of cultural heritage at the beginning of the 21st century, for example in the areas of data acquisition, modeling, archiving in local repositories, harvesting in digital libraries and their long-term preservation. This volume put emphasis on a number of challenges facing 3D research in the 2D/3D digiti...

Leverage the power of Redis 4.x to develop, optimize and administer your Redis solutions with easeKey FeaturesBuild, deploy and administer high performance and scalable applications in RedisCovers a range of important tasks - including development and administration of RedisA practical guide that takes your understanding of Redis to the next levelBook DescriptionRedis is considered the world's most popular key-value store database. Its versatility and the wide variety of use cases it enables hav...

Reference data plays a key role in your business databases and must be free from defects of any kind. So why is it so hard to find information on this critical topic? Recognizing the dangers of taking reference data for granted, Managing Reference Data in Enterprise Databases gives you precisely what you've been seeking: A complete guide to the implementation and management of reference data of all kinds. This book begins with a thorough definition of reference data, then proceeds with a detaile...

"Computational Structures and Algorithms for Association Rules" presents the development of state-of-the-art algorithms for finding association rules. The rigorous mathematical construction of each algorithm is described in detail, covering advanced approaches such as formal concept analysis and Galois connection frameworks. This title: presents an extensive use of proofs, definitions, propositions, procedures, and examples throughout the text; introduces the Galois framework, including definiti...

As Microsoft's bestselling database manager, SQL Server is highly flexible and customizable, and has excellent support-the 2008 version offers several significant new capabilities. This book offers accurate and expert coverage on the updates to SQL Server 2008 such as its enhanced security; the ability to encrypt an entire database, data files, and log files without the need for application changes; a scalable infrastructure that can manage reports and analysis of any size and complexity; and it...

"This text should be required reading for everyone in contemporary business." --Peter Woodhull, CEO, Modus21 "The one book that clearly describes and links Big Data concepts to business utility." --Dr. Christopher Starr, PhD "Simply, this is the best Big Data book on the market!" --Sam Rostam, Cascadian IT Group ..".one of the most contemporary approaches I've seen to Big Data fundamentals..." --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technolog...

Welcome to data science's dirty secret: real-world data is messy. Data scientists must spend a good deal of time playing software developer, writing code to clean up data before they can actually do anything constructive with it. It's a necessary evil, but you can still make the most of it. This practical book walks you through several real-world examples to demonstrate the theory and practice behind working with and cleaning up dirty data. No one tool solves all of the problems well. Wise data...

The Oracle database is one of the most popular in the world, and for good reason. It's compatible, scalable, portable, and capable of performing incredibly fast. The advantages Oracle holds over its competition come with a price. However it's a highly complex database that's becoming more complex with every release. And this level of detail, of course, can begin to weigh on database administrators (DBAs). Fortunately, the "Oracle DBA Pocket Guide" from O'Reilly is on the case. This handy referen...

With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You’ll get familiar with Python’s functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this compreh...