Data Profiling

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Principles of Data Wrangling

Author : Tye Rattenbury
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491938870
Total Pages : 117 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Principles of Data Wrangling by : Tye Rattenbury

Download or read book Principles of Data Wrangling written by Tye Rattenbury and published by "O'Reilly Media, Inc.". This book was released on 2017-06-29 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst’s time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors—time, granularity, scope, and structure—that you need to consider as you begin to work with data. You’ll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today’s data-driven organizations. Appreciate the importance—and the satisfaction—of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis

Data Profiling

Author : Ziawasch Abedjan
Publisher : Springer Nature
ISBN 13 : 3031018656
Total Pages : 136 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data Profiling by : Ziawasch Abedjan

Download or read book Data Profiling written by Ziawasch Abedjan and published by Springer Nature. This book was released on 2022-06-01 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data profiling refers to the activity of collecting data about data, {i.e.}, metadata. Most IT professionals and researchers who work with data have engaged in data profiling, at least informally, to understand and explore an unfamiliar dataset or to determine whether a new dataset is appropriate for a particular task at hand. Data profiling results are also important in a variety of other situations, including query optimization, data integration, and data cleaning. Simple metadata are statistics, such as the number of rows and columns, schema and datatype information, the number of distinct values, statistical value distributions, and the number of null or empty values in each column. More complex types of metadata are statements about multiple columns and their correlation, such as candidate keys, functional dependencies, and other types of dependencies. This book provides a classification of the various types of profilable metadata, discusses popular data profiling tasks, and surveys state-of-the-art profiling algorithms. While most of the book focuses on tasks and algorithms for relational data profiling, we also briefly discuss systems and techniques for profiling non-relational data such as graphs and text. We conclude with a discussion of data profiling challenges and directions for future work in this area.

Child Data Citizen

Author : Veronica Barassi
Publisher : MIT Press
ISBN 13 : 0262044714
Total Pages : 233 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Child Data Citizen by : Veronica Barassi

Download or read book Child Data Citizen written by Veronica Barassi and published by MIT Press. This book was released on 2020-12-22 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: An examination of the datafication of family life--in particular, the construction of our children into data subjects. Our families are being turned into data, as the digital traces we leave are shared, sold, and commodified. Children are datafied even before birth, with pregnancy apps and social media postings, and then tracked through babyhood with learning apps, smart home devices, and medical records. If we want to understand the emergence of the datafied citizen, Veronica Barassi argues, we should look at the first generation of datafied natives: our children. In Child Data Citizen, she examines the construction of children into data subjects, describing how their personal information is collected, archived, sold, and aggregated into unique profiles that can follow them across a lifetime.

Database Archiving

Author : Jack E. Olson
Publisher : Morgan Kaufmann
ISBN 13 : 0080884423
Total Pages : 310 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Database Archiving by : Jack E. Olson

Download or read book Database Archiving written by Jack E. Olson and published by Morgan Kaufmann. This book was released on 2010-07-28 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the amount of data a business accumulates now doubling every 12 to 18 months, IT professionals need to know how to develop a system for archiving important database data, in a way that both satisfies regulatory requirements and is durable and secure. This important and timely new book explains how to solve these challenges without compromising the operation of current systems. It shows how to do all this as part of a standardized archival process that requires modest contributions from team members throughout an organization, rather than the superhuman effort of a dedicated team. - Exhaustively considers the diverse set of issues—legal, technological, and financial—affecting organizations faced with major database archiving requirements - Shows how to design and implement a database archival process that is integral to existing procedures and systems - Explores the role of players at every level of the organization—in terms of the skills they need and the contributions they can make. - Presents its ideas from a vendor-neutral perspective that can benefit any organization, regardless of its current technological investments - Provides detailed information on building the business case for all types of archiving projects

Data Profiling and Insurance Law

Author : Brendan McGurk KC
Publisher : Bloomsbury Publishing
ISBN 13 : 1509920633
Total Pages : 317 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Data Profiling and Insurance Law by : Brendan McGurk KC

Download or read book Data Profiling and Insurance Law written by Brendan McGurk KC and published by Bloomsbury Publishing. This book was released on 2019-03-21 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: The winner of the 2020 British Insurance Law Association Book Prize, this timely, expertly written book looks at the legal impact that the use of 'Big Data' will have on the provision – and substantive law – of insurance. Insurance companies are set to become some of the biggest consumers of big data which will enable them to profile prospective individual insureds at an increasingly granular level. More particularly, the book explores how: (i) insurers gain access to information relevant to assessing risk and/or the pricing of premiums; (ii) the impact which that increased information will have on substantive insurance law (and in particular duties of good faith disclosure and fair presentation of risk); and (iii) the impact that insurers' new knowledge may have on individual and group access to insurance. This raises several consequential legal questions: (i) To what extent is the use of big data analytics to profile risk compatible (at least in the EU) with the General Data Protection Regulation? (ii) Does insurers' ability to parse vast quantities of individual data about insureds invert the information asymmetry that has historically existed between insured and insurer such as to breathe life into insurers' duty of good faith disclosure? And (iii) by what means might legal challenges be brought against insurers both in relation to the use of big data and the consequences it may have on access to cover? Written by a leading expert in the field, this book will both stimulate further debate and operate as a reference text for academics and practitioners who are faced with emerging legal problems arising from the increasing opportunities that big data offers to the insurance industry.

Data Quality

Author : Jack E. Olson
Publisher : Elsevier
ISBN 13 : 0080503691
Total Pages : 313 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Data Quality by : Jack E. Olson

Download or read book Data Quality written by Jack E. Olson and published by Elsevier. This book was released on 2003-01-09 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that supports and enhances the accuracy of databases throughout major IT shops. Jack Olson explains data profiling and shows how it fits into the larger picture of data quality.* Provides an accessible, enjoyable introduction to the subject of data accuracy, peppered with real-world anecdotes. * Provides a framework for data profiling with a discussion of analytical tools appropriate for assessing data accuracy. * Is written by one of the original developers of data profiling technology. * Is a must-read for any data management staff, IT management staff, and CIOs of companies with data assets.

Microsoft Power BI Complete Reference

Author : Devin Knight
Publisher : Packt Publishing Ltd
ISBN 13 : 1789955637
Total Pages : 780 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Microsoft Power BI Complete Reference by : Devin Knight

Download or read book Microsoft Power BI Complete Reference written by Devin Knight and published by Packt Publishing Ltd. This book was released on 2018-12-21 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, develop, and master efficient Power BI solutions for impactful business insights Key FeaturesGet to grips with the fundamentals of Microsoft Power BI Combine data from multiple sources, create visuals, and publish reports across platformsUnderstand Power BI concepts with real-world use casesBook Description Microsoft Power BI Complete Reference Guide gets you started with business intelligence by showing you how to install the Power BI toolset, design effective data models, and build basic dashboards and visualizations that make your data come to life. In this Learning Path, you will learn to create powerful interactive reports by visualizing your data and learn visualization styles, tips and tricks to bring your data to life. You will be able to administer your organization's Power BI environment to create and share dashboards. You will also be able to streamline deployment by implementing security and regular data refreshes. Next, you will delve deeper into the nuances of Power BI and handling projects. You will get acquainted with planning a Power BI project, development, and distribution of content, and deployment. You will learn to connect and extract data from various sources to create robust datasets, reports, and dashboards. Additionally, you will learn how to format reports and apply custom visuals, animation and analytics to further refine your data. By the end of this Learning Path, you will learn to implement the various Power BI tools such as on-premises gateway together along with staging and securely distributing content via apps. This Learning Path includes content from the following Packt products: Microsoft Power BI Quick Start Guide by Devin Knight et al. Mastering Microsoft Power BI by Brett PowellWhat you will learnConnect to data sources using both import and DirectQuery optionsLeverage built-in and custom visuals to design effective reportsAdminister a Power BI cloud tenant for your organizationDeploy your Power BI Desktop files into the Power BI Report ServerBuild efficient data retrieval and transformation processesWho this book is for Microsoft Power BI Complete Reference Guide is for those who want to learn and use the Power BI features to extract maximum information and make intelligent decisions that boost their business. If you have a basic understanding of BI concepts and want to learn how to apply them using Microsoft Power BI, then Learning Path is for you. It consists of real-world examples on Power BI and goes deep into the technical issues, covers additional protocols, and much more.

Discrimination and Privacy in the Information Society

Author : Bart Custers
Publisher : Springer Science & Business Media
ISBN 13 : 3642304877
Total Pages : 370 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Discrimination and Privacy in the Information Society by : Bart Custers

Download or read book Discrimination and Privacy in the Information Society written by Bart Custers and published by Springer Science & Business Media. This book was released on 2012-08-11 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. However, when such practices lead to unwanted or unjustified selections, they may result in unacceptable forms of discrimination. Processing vast amounts of data may lead to situations in which data controllers know many of the characteristics, behaviors and whereabouts of people. In some cases, analysts might know more about individuals than these individuals know about themselves. Judging people by their digital identities sheds a different light on our views of privacy and data protection. This book discusses discrimination and privacy issues related to data mining and profiling practices. It provides technological and regulatory solutions, to problems which arise in these innovative contexts. The book explains that common measures for mitigating privacy and discrimination, such as access controls and anonymity, fail to properly resolve privacy and discrimination concerns. Therefore, new solutions, focusing on technology design, transparency and accountability are called for and set forth.

Three-Dimensional Analysis

Author : Ed Lindsey
Publisher :
ISBN 13 : 9780980083309
Total Pages : 240 pages
Book Rating : 4.0/5 (833 download)

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Book Synopsis Three-Dimensional Analysis by : Ed Lindsey

Download or read book Three-Dimensional Analysis written by Ed Lindsey and published by . This book was released on 2008-03-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Profiling and Insurance Law

Author : Brendan McGurk KC
Publisher : Bloomsbury Publishing
ISBN 13 : 1509920625
Total Pages : 311 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Data Profiling and Insurance Law by : Brendan McGurk KC

Download or read book Data Profiling and Insurance Law written by Brendan McGurk KC and published by Bloomsbury Publishing. This book was released on 2019-03-21 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: The winner of the 2020 British Insurance Law Association Book Prize, this timely, expertly written book looks at the legal impact that the use of 'Big Data' will have on the provision – and substantive law – of insurance. Insurance companies are set to become some of the biggest consumers of big data which will enable them to profile prospective individual insureds at an increasingly granular level. More particularly, the book explores how: (i) insurers gain access to information relevant to assessing risk and/or the pricing of premiums; (ii) the impact which that increased information will have on substantive insurance law (and in particular duties of good faith disclosure and fair presentation of risk); and (iii) the impact that insurers' new knowledge may have on individual and group access to insurance. This raises several consequential legal questions: (i) To what extent is the use of big data analytics to profile risk compatible (at least in the EU) with the General Data Protection Regulation? (ii) Does insurers' ability to parse vast quantities of individual data about insureds invert the information asymmetry that has historically existed between insured and insurer such as to breathe life into insurers' duty of good faith disclosure? And (iii) by what means might legal challenges be brought against insurers both in relation to the use of big data and the consequences it may have on access to cover? Written by a leading expert in the field, this book will both stimulate further debate and operate as a reference text for academics and practitioners who are faced with emerging legal problems arising from the increasing opportunities that big data offers to the insurance industry.

Data Science Live Book

Author : Pablo Casas
Publisher :
ISBN 13 : 9789874273666
Total Pages : pages
Book Rating : 4.2/5 (736 download)

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Book Synopsis Data Science Live Book by : Pablo Casas

Download or read book Data Science Live Book written by Pablo Casas and published by . This book was released on 2018-03-16 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a practical guide to problems that commonly arise when developing a machine learning project. The book's topics are: Exploratory data analysis Data Preparation Selecting best variables Assessing Model Performance More information on predictive modeling will be included soon. This book tries to demonstrate what it says with short and well-explained examples. This is valid for both theoretical and practical aspects (through comments in the code). This book, as well as the development of a data project, is not linear. The chapters are related among them. For example, the missing values chapter can lead to the cardinality reduction in categorical variables. Or you can read the data type chapter and then change the way you deal with missing values. You¿ll find references to other websites so you can expand your study, this book is just another step in the learning journey. It's open-source and can be found at http://livebook.datascienceheroes.com

Business Intelligence

Author : David Loshin
Publisher : Morgan Kaufmann
ISBN 13 : 9781558609167
Total Pages : 294 pages
Book Rating : 4.6/5 (91 download)

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Book Synopsis Business Intelligence by : David Loshin

Download or read book Business Intelligence written by David Loshin and published by Morgan Kaufmann. This book was released on 2003 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Intelligence describes the basic architectural components of a business intelligence environment, ranging from traditional topics such as business process modeling, data modeling, and more modern topics such as business rule systems, data profiling, information compliance and data quality, data warehousing, and data mining. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. The book contains a quick reference guide for business intelligence terminology. Business Intelligence is part of Morgan Kaufmann's Savvy Manager's Guide series. * Provides clear explanations without technical jargon, followed by in-depth descriptions. * Articulates the business value of new technology, while providing relevant introductory technical background. * Contains a handy quick-reference to technologies and terminologies. * Guides managers through developing, administering, or simply understanding business intelligence technology. * Bridges the business-technical gap. * Is Web enhanced. Companion sites to the book and series provide value-added information, links, discussions, and more.

Intelligent Systems in Big Data, Semantic Web and Machine Learning

Author : Noreddine Gherabi
Publisher : Springer Nature
ISBN 13 : 303072588X
Total Pages : 315 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Intelligent Systems in Big Data, Semantic Web and Machine Learning by : Noreddine Gherabi

Download or read book Intelligent Systems in Big Data, Semantic Web and Machine Learning written by Noreddine Gherabi and published by Springer Nature. This book was released on 2021-05-28 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.

Data as a Service

Author : Pushpak Sarkar
Publisher : John Wiley & Sons
ISBN 13 : 111905527X
Total Pages : 368 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Data as a Service by : Pushpak Sarkar

Download or read book Data as a Service written by Pushpak Sarkar and published by John Wiley & Sons. This book was released on 2015-07-31 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach to introducing data as a service in any organization A reusable and flexible SOA based architecture framework Roadmap to introduce ‘big data as a service’ for potential clients Presents a thorough description of each component in the DaaS reference architecture so readers can implement solutions

Data Quality

Author : Rupa Mahanti
Publisher : Quality Press
ISBN 13 : 0873899776
Total Pages : 368 pages
Book Rating : 4.8/5 (738 download)

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Book Synopsis Data Quality by : Rupa Mahanti

Download or read book Data Quality written by Rupa Mahanti and published by Quality Press. This book was released on 2019-03-18 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is not the kind of book that youll read one time and be done with. So scan it quickly the first time through to get an idea of its breadth. Then dig in on one topic of special importance to your work. Finally, use it as a reference to guide your next steps, learn details, and broaden your perspective. from the foreword by Thomas C. Redman, Ph.D., the Data Doc Good data is a source of myriad opportunities, while bad data is a tremendous burden. Companies that manage their data effectively are able to achieve a competitive advantage in the marketplace, while bad data, like cancer, can weaken and kill an organization. In this comprehensive book, Rupa Mahanti provides guidance on the different aspects of data quality with the aim to be able to improve data quality. Specifically, the book addresses: -Causes of bad data quality, bad data quality impacts, and importance of data quality to justify the case for data quality-Butterfly effect of data quality-A detailed description of data quality dimensions and their measurement-Data quality strategy approach-Six Sigma - DMAIC approach to data quality-Data quality management techniques-Data quality in relation to data initiatives like data migration, MDM, data governance, etc.-Data quality myths, challenges, and critical success factorsStudents, academicians, professionals, and researchers can all use the content in this book to further their knowledge and get guidance on their own specific projects. It balances technical details (for example, SQL statements, relational database components, data quality dimensions measurements) and higher-level qualitative discussions (cost of data quality, data quality strategy, data quality maturity, the case made for data quality, and so on) with case studies, illustrations, and real-world examples throughout.

Data Wrangling with SQL

Author : Raghav Kandarpa
Publisher : Packt Publishing Ltd
ISBN 13 : 1837634300
Total Pages : 351 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis Data Wrangling with SQL by : Raghav Kandarpa

Download or read book Data Wrangling with SQL written by Raghav Kandarpa and published by Packt Publishing Ltd. This book was released on 2023-07-31 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become a data wrangling expert and make well-informed decisions by effectively utilizing and analyzing raw unstructured data in a systematic manner Purchase of the print or Kindle book includes a free PDF eBook Key Features Implement query optimization during data wrangling using the SQL language with practical use cases Master data cleaning, handle the date function and null value, and write subqueries and window functions Practice self-assessment questions for SQL-based interviews and real-world case study rounds Book DescriptionThe amount of data generated continues to grow rapidly, making it increasingly important for businesses to be able to wrangle this data and understand it quickly and efficiently. Although data wrangling can be challenging, with the right tools and techniques you can efficiently handle enormous amounts of unstructured data. The book starts by introducing you to the basics of SQL, focusing on the core principles and techniques of data wrangling. You’ll then explore advanced SQL concepts like aggregate functions, window functions, CTEs, and subqueries that are very popular in the business world. The next set of chapters will walk you through different functions within SQL query that cause delays in data transformation and help you figure out the difference between a good query and bad one. You’ll also learn how data wrangling and data science go hand in hand. The book is filled with datasets and practical examples to help you understand the concepts thoroughly, along with best practices to guide you at every stage of data wrangling. By the end of this book, you’ll be equipped with essential techniques and best practices for data wrangling, and will predominantly learn how to use clean and standardized data models to make informed decisions, helping businesses avoid costly mistakes.What you will learn Build time series models using data wrangling Discover data wrangling best practices as well as tips and tricks Find out how to use subqueries, window functions, CTEs, and aggregate functions Handle missing data, data types, date formats, and redundant data Build clean and efficient data models using data wrangling techniques Remove outliers and calculate standard deviation to gauge the skewness of data Who this book is forThis book is for data analysts looking for effective hands-on methods to manage and analyze large volumes of data using SQL. The book will also benefit data scientists, product managers, and basically any role wherein you are expected to gather data insights and develop business strategies using SQL as a language. If you are new to or have basic knowledge of SQL and databases and an understanding of data cleaning practices, this book will give you further insights into how you can apply SQL concepts to build clean, standardized data models for accurate analysis.

The Key to Successful Data Migration

Author : Rajender Kumar
Publisher : Jamba Academy
ISBN 13 : 1960833065
Total Pages : 331 pages
Book Rating : 4.9/5 (68 download)

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Book Synopsis The Key to Successful Data Migration by : Rajender Kumar

Download or read book The Key to Successful Data Migration written by Rajender Kumar and published by Jamba Academy. This book was released on 2023-04-15 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are You Engaged in Data Migration Project? Are you tired of dealing with data migration failures, costly downtime, and lost productivity? Do you want to ensure a smooth and successful transition? Want to find ways to mitigate risks, streamline processes and maximize the benefits of data migration? This book provides a comprehensive guide to pre-migration activities which will arm you with knowledge and tools for an effortless transition. With guidance from experienced data migration professionals, this book takes an approachable, hands-on approach to pre-migration activities by offering strategies and techniques for assessing, cleansing and mapping data sets prior to migration. In this book, you will learn: · Learn to define your project scope and objectives to meet the needs of your organization, while simultaneously understanding how important assessing data complexity and using quality metrics can be for making informed decisions. · How to create an effective communication plan to keep all stakeholders updated throughout the migration process · Why it is crucial for organizations to conduct readiness assessments prior to embarking on migration · Automated data mapping tools offer advantages that speed up migration by streamlining processes. Furthermore, using such tools helps mitigate risks associated with data migration while assuring data security during this process. · And much more! This book serves as not only a comprehensive guide to pre-migration activities but also as an evidence-based case study of their successful implementation. But don't just take our word for it. Here's what readers are saying: "This book is a game-changer. It helped me navigate through the complexities of data migration and avoid costly mistakes." - John D., IT Manager "The practical tips and real-world examples in this book gave me the confidence to take on our data migration project with ease." - Sarah M., Business Analyst No matter what stage of data migration you are at or the type of business leader undertaking the project, "The Key to Successful Data Migration: Pre-Migration Activities" is your go-to resource for ensuring a smooth and successful migration experience. So don't delay! Start reading now and discover the secrets to unlocking all the potential of your data migration project!