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Data Resource Guide - Michael Brackett - Bog - Technics Publications LLC - Plusbog.dk

Data Resource Guide - Michael Brackett - Bog - Technics Publications LLC - Plusbog.dk

Are you struggling to find the data that you need to support your business activities? Are you concerned that people may be using the wrong data for their business activities? Are you having difficulty understanding the data that you do find in your data resource? Are you frustrated over documenting that understanding in a manner that is readily accessible to anyone in the organisation? If the answer to any of these questions is Yes, then you need to read "Data Resource Guide" to help identify, understand, access, and use the appropriate data. Most public and private sector organisations today have no formal, single location for the complete documentation of their data resource that is readily available to everyone in the organisation. Many organisations do not even have a concept of how to design, develop, or manage a single repository containing an understanding all the data available to the organisation. Yet they are staking their business on those data. "Data Resource Data" provided the complete data resource model for an organisation''s Data Resource Data. Data Resource Understanding provided a detailed description of how to thoroughly understand an organisation''s data resource through those Data Resource Data. Now, "Data Resource Guide" provides the detailed specifications for developing a simple, inexpensive, and effective way to document the data resource understanding and make that understanding readily available to anyone in the organisation. Michael Brackett draws on over half a century of data management experience to complete two trilogies for formally managing an organisation''s data as a critical resource. The Data Architecture Trilogy describes the development of a single organisation wide data architecture for an organization. The Data Understanding Trilogy describes the acquisition and documentation of understanding about all the data at an organisation''s disposal.

DKK 366.00
3

Data Resource Data - Michael Brackett - Bog - Technics Publications LLC - Plusbog.dk

Data Resource Data - Michael Brackett - Bog - Technics Publications LLC - Plusbog.dk

Are you struggling to gain a thorough understanding of your organisation''s data resource? Are you finding that your data resource has become quite disparate through lack of understanding? Are you having difficulty developing meaningful meta-data about your data resource, or understanding the meta-data that have been developed? Do you agonise over finding a way to document your data resource that is thorough, understandable, and readily available? If the answer to any of these questions is Yes, then you need to read "Data Resource Data" to help you understand your organisation''s data resource. Most public and private sector organisations do not have a formal process for thoroughly documenting the entire data resource at their disposal, in any meaningful manner, that is readily available to everyone in the organisation. Most do not even have a formal design for that documentation. The much abused, misused, misspelled, undefined, and incomplete meta-data are not providing a denotative understanding of the organisation''s data resource, without which a high quality data resource cannot be developed. This book provides the complete detailed data resource model for understanding and managing data as a critical resource of the organisation. The model presents formal data resource data as a replacement for the relatively ineffective meta-data. It provides an excellent example of a formal data resource model, compared to a traditional data model, that can be easily implemented by any organisation. The use of data resource data ensures a thorough understanding of an organisation''s data resource and the development of a high quality comparate data resource. Like "Data Resource Simplexity", "Data Resource Integration" and "Data Resource Design", Michael Brackett draws on five decades of data management experience, in a wide variety of different public and private sector organisations, to understand and document an organisation''s data resource. He leverages theories, concepts, principles, and techniques from many different and varied disciplines, such as human dynamics, mathematics, physics, chemistry, philosophy, and biology, and applies them to the process of formally documenting an organisation''s data resource.

DKK 366.00
3

Data Resource Understanding - Michael Brackett - Bog - Technics Publications LLC - Plusbog.dk

Data Resource Understanding - Michael Brackett - Bog - Technics Publications LLC - Plusbog.dk

Are you struggling to understand the data you need to support your business activities? Are you frustrated over data that do not answer your questions or provide the wrong answers to your questions? Are you worried that your organisation is not adequately supporting its citizens or customers? Are you concerned over civil or criminal liability for the quality and use of your data? If the answer to any of these questions is Yes, they you need to read "Data Resource Understanding" to help you and everyone in your organisation thoroughly understand the data they need to support the business activities. Most public and private sector organisations have no formal method for thoroughly understanding the data needed to support their business activities. They seldom have a method that begins with the organisation''s perception of the business world and continues through a formal Data Resource Development Cycle to produce a high quality, thoroughly understood data resource that fully supports the organisation''s current and future business information demand. Data Resource Data provided the complete detailed data resource model for understanding and managing data as a critical resource of the organisation. Data Resource Understanding is the companion book to Data Resource Data. It provides a detailed explanation of how to thoroughly understand an organisation''s data resource and to document that understanding with Data Resource Data. Together they provide an organisation with the foundation for properly managing their data as a critical resource. Like in "Data Resource Simplexity", Michael Brackett draws on over half a century of data management experience, in a wide variety of different public and private sector organisations, to understand and document an organisation''s data resource. He leverages theories, concepts, principles, and techniques from many different and varied disciplines, such as human dynamics, mathematics, physics, chemistry, philosophy, and biology, and applies them to the process of formally documenting an organisation''s data resource.

DKK 366.00
3

Data Science - A Comprehensive Guide to Data Science, Data Analytics, Data Mining, Artificial Intelligence, Machine Learning, and Big Data - Bog af Ri

Data Science - A Comprehensive Guide to Data Science, Data Analytics, Data Mining, Artificial Intelligence, Machine Learning, and Big Data - Bog af Ri

If you want to learn about data science and big data, then keep reading...Two manuscripts in one book:Data Science: What You Need to Know About Data Analytics, Data Mining, Regression Analysis, Artificial Intelligence, Big Data for Business, Data Visualization, Database Querying, and Machine LearningBig Data: A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data Science, Data Analytics, Business Intelligence, and Data MiningThis book..

DKK 330.95
2

Data Science - The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Da

Data Science - The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Da

Do you want to expand your skills from being a basic Data Scientist to becoming an expert Data Scientist ready to solve real-world data centric issues?Exploring this book could be a step in the right direction...2 comprehensive manuscripts in 1 bookData Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data – That You Don'tData Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data..

DKK 330.95
2

Data Science Strategy For Dummies - Ulrika Jagare - Bog - John Wiley & Sons Inc - Plusbog.dk

Data Science Strategy For Dummies - Ulrika Jagare - Bog - John Wiley & Sons Inc - Plusbog.dk

All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the “what” and the “why” of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you’ll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it’s importantAdopt a data-driven mindset as the foundation to successUnderstand the processes and common roadblocks behind data scienceKeep your data science program focused on generating business valueNurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.

DKK 230.00
3

Data Warehouse and Data Mining - Jugnesh Kumar - Bog - BPB Publications - Plusbog.dk

Data Warehouse and Data Mining - Jugnesh Kumar - Bog - BPB Publications - Plusbog.dk

Data warehouse and data mining are essential technologies in the field of data analysis and business intelligence. Data warehouse provides a centralized repository of structured data and facilitates data storage and retrieval. Data mining, on the other hand, utilizes various algorithms and techniques to extract valuable patterns, trends, and insights from large datasets. The book explains the ins and outs of data warehousing by discussing its principles, benefits, and components, differentiating it from traditional databases. The readers will explore warehouse architecture, learn to navigate OLTP and OLAP systems, grasping the crux of the difference between ROLAP and MOLAP. The book is designed to help you discover data mining secrets with techniques like classification and clustering. You will be able to advance your skills by handling multimedia, time series, and text, staying ahead in the evolving data mining landscape.

DKK 297.00
3

K4G Data Recovery Case

K4G Data Recovery Case

Introducing the K4G Data Recovery Case – Safeguard Your Business with Resilient Data Solutions!Empower your business continuity with the K4G Data Recovery Case, a thoughtfully curated selection of advanced data recovery solutions designed to ensure the security and integrity of your critical information. From accidental deletions to unexpected hardware failures, this case brings together top-tier data recovery tools to fortify your data resilience.Explore a suite of renowned data recovery software, including:EaseUS Data Recovery WizardDisk DrillWondershare RecoveritRecuva ProfessionalR-StudioOntrack EasyRecoveryStellar Data RecoveryAcronis ReviveMiniTool Power Data RecoveryProsoft Data Rescueand many, many more!Elevate your data protection strategy by harnessing the power of these trusted data recovery solutions. The K4G Data Recovery Case provides a comprehensive toolkit, ensuring quick and effective recovery, minimizing downtime, and safeguarding your business-critical information.That's not all!Got a software you already own? Return it & get another one! - With the K4G Purchase Protection or as a VIP member, you can return the software and receive a refund in K4G Balance. We understand that preferences vary, and our commitment is to ensure you get the software that suits your needs. Don't let compatibility concerns hold you back – return and try out another software to find the perfect fit for your digital defense strategy.Order now and experience the transformative power of the K4G Data Recovery Case – where innovation meets practicality in securing your business data!

DKK 26.63
1

Data Reimagined - Bog af Jodi Daniels - Hardback

Data Reimagined - Bog af Jodi Daniels - Hardback

Number four Wall Street Journal best seller, USA Today top 100 best seller, number 1 Barnes & Noble best seller, and number 1 Amazon best sellerYour customers face a harsh reality as consumers today: from the supermarket to the coffee shop, personal data is part of most transactional exchanges. Despite your company's best efforts, customer privacy and security is at stake, every purchase vulnerable to hackers, threat actors, and rapidly changing technology.In Data Reimagined, data privacy and cybersecurity..

DKK 292.95
2

Cracking The Data Code - Unlock the hidden value of data for your organisation - Bog af Mike Bugembe - Paperback

Cracking The Data Code - Unlock the hidden value of data for your organisation - Bog af Mike Bugembe - Paperback

The notion that all you need is a technically competent data team in order to succeed in generating value from data is popular but totally wrong.Every organisation needs to do something with data to remain competitive. You can hire the most technically competent team, pay for all the top technology, build the most sophisticated algorithms, and yet still fail to see value from data. This is because unlocking value from data is no longer a technical challenge but a leadership one.This book, a product..

DKK 187.95
2

Next Generation of Data Mining - - Bog - Taylor & Francis Ltd - Plusbog.dk

Next Generation of Data Mining - - Bog - Taylor & Francis Ltd - Plusbog.dk

Drawn from the US National Science Foundation’s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field. Gathering perspectives from top experts across different disciplines, the book debates upcoming challenges and outlines computational methods. The contributors look at how ecology, astronomy, social science, medicine, finance, and more can benefit from the next generation of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. They also discuss the impact of new technologies, such as the semantic web, on data mining and provide recommendations for privacy-preserving mechanisms. The dramatic increase in the availability of massive, complex data from various sources is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand these fundamental issues, this volume surveys promising approaches to data mining problems that span an array of disciplines.

DKK 625.00
3