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English | October 4, 2023 | ISBN: 1484297342 | 222 pages | MOBI | 2.47 Mb
This book explains how to implement a data lake strategy, covering the technical and business challenges architects commonly face. It also illustrates how and why client requirements should drive architectural decisions.

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English | September 29, 2023 | ISBN: 180461078X | 318 pages | EPUB | 7.57 Mb
Practical Data Quality provides a comprehensive view of managing data quality within your organization, covering everything from business cases through to embedding improvements that you make to the organization permanently. Each chapter explains a key element of data quality management, from linking strategy and data together to profiling and designing business rules which reveal bad data. The book outlines a suite of tried-and-tested reports that highlight bad data and allow you to develop a plan to make corrections. Throughout the book, you'll work with real-world examples and utilize re-usable templates to accelerate your initiatives.

Free Download Practical Core Data A modern guide to the Core Data framework
English | 2021 | 356 pages | MOBI + Code | 49 Mb
Learn Core Data from the ground up using new and modern techniques.

Free Download Jim Marion, "PeopleSoft PeopleTools Data Management and Upgrade Handbook (Oracle Press)"
English | 2012 | ISBN: 0071787925 | EPUB | pages: 352 | 7.0 mb
Master Oracle's PeopleSoft PeopleTools Data Administration and Upgrade Toolset

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English | September 29, 2023 | ISBN: 1801070490 | 318 pages | PDF | 13 Mb
Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka

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English | 2023 | ISBN: 9781098148812 | 220 pages | EPUB | 14 Mb
If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics.

Free Download Sean B. Eom, "Mining Author Cocitation Data with SAS Enterprise Guide"
English | ISBN: 1443874221 | 2015 | 230 pages | PDF | 8 MB
Author cocitation analysis (ACA) is a subfield of informetrics, which is a broader term referring to the quantitative study of retrieval and processing bibliometric data collected from all types of communication media, including journals, books, and conference proceedings. While ACA is one of the few research methodologies that transcend the individual field of inquiry, and despite its usefulness and capabilities to reveal a larger vista hidden in bibliographic databases, it is not a particularly popular research tool in some academic disciplines. This book covers all essential ACA topics for graduate students and researchers who want to learn the basics and the research techniques to delineate the intellectual structure of various academic disciplines, compare cumulative research traditions, demonstrate theoretical differences between competing approaches, and to trace a paradigm shift in various academic disciplines over time.

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English | 2023 | ISBN: 1230006925338 | 154 pages | MOBI | 3.26 Mb
As a candidate for this exam, you should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure.

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English | January 16, 2023 | ISBN: 9811982090 | 178 pages | MOBI | 3.03 Mb
This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the "What", "Why" and "How" of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.

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English | March 6, 2023 | ISBN: 3111047385 | 222 pages | MOBI | 3.91 Mb
This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences.