Data Warehousing In The Age Of Big Data

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Data Warehousing in the Age of Big Data

Krish Krishnan
Data Warehousing in the Age of Big Data Book PDF

Author : Krish Krishnan
Publisher : Newnes
Page : 370 pages
File Size : 42,6 Mb
Release : 2013-05-02
Category : Computers
ISBN : 9780124059207

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Data Warehousing in the Age of Big Data by Krish Krishnan Pdf

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. Learn how to leverage Big Data by effectively integrating it into your data warehouse. Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

Data Warehousing and Analytics

David Taniar,Wenny Rahayu
Data Warehousing and Analytics Book PDF

Author : David Taniar,Wenny Rahayu
Publisher : Springer Nature
Page : 642 pages
File Size : 49,9 Mb
Release : 2022-02-04
Category : Computers
ISBN : 9783030819798

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Data Warehousing and Analytics by David Taniar,Wenny Rahayu Pdf

This textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. It also explains in detail how data warehouses may be used by data engines, such as BI tools and analytics algorithms to produce reports, dashboards, patterns, and other useful information and knowledge. The book is divided into six parts, ranging from the basics of data warehouse design (Part I - Star Schema, Part II - Snowflake and Bridge Tables, Part III - Advanced Dimensions, and Part IV - Multi-Fact and Multi-Input), to more advanced data warehousing concepts (Part V - Data Warehousing and Evolution) and data analytics (Part VI - OLAP, BI, and Analytics). This textbook approaches data warehousing from the case study angle. Each chapter presents one or more case studies to thoroughly explain the concepts and has different levels of difficulty, hence learning is incremental. In addition, every chapter has also a section on further readings which give pointers and references to research papers related to the chapter. All these features make the book ideally suited for either introductory courses on data warehousing and data analytics, or even for self-studies by professionals. The book is accompanied by a web page that includes all the used datasets and codes as well as slides and solutions to exercises.

Emerging Perspectives in Big Data Warehousing

Taniar, David,Rahayu, Wenny
Emerging Perspectives in Big Data Warehousing Book PDF

Author : Taniar, David,Rahayu, Wenny
Publisher : IGI Global
Page : 348 pages
File Size : 55,6 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9781522555179

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Emerging Perspectives in Big Data Warehousing by Taniar, David,Rahayu, Wenny Pdf

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. Featuring a wide range of topics such as index structures, ontology, and user behavior, this book is ideally designed for IT consultants, researchers, professionals, computer scientists, academicians, and managers.

Big Data Imperatives

Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Big Data Imperatives Book PDF

Author : Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Publisher : Apress
Page : 311 pages
File Size : 47,9 Mb
Release : 2013-06-24
Category : Computers
ISBN : 9781430248729

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Big Data Imperatives by Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa Pdf

Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

The Enterprise Big Data Lake

Alex Gorelik
The Enterprise Big Data Lake Book PDF

Author : Alex Gorelik
Publisher : "O'Reilly Media, Inc."
Page : 224 pages
File Size : 51,8 Mb
Release : 2019-02-21
Category : Computers
ISBN : 9781491931509

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The Enterprise Big Data Lake by Alex Gorelik Pdf

The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries

Data Warehouse Systems

Alejandro Vaisman,Esteban Zimányi
Data Warehouse Systems Book PDF

Author : Alejandro Vaisman,Esteban Zimányi
Publisher : Springer Nature
Page : 696 pages
File Size : 45,9 Mb
Release : 2022-08-16
Category : Computers
ISBN : 9783662651674

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Data Warehouse Systems by Alejandro Vaisman,Esteban Zimányi Pdf

With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details “Implementation and Deployment,” including physical design, ETL and data warehouse design methodologies. Part III covers “Advanced Topics” and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQL database systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style. “I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition.” From the foreword by Panos Vassiliadis, University of Ioannina, Greece.

Data Architecture: A Primer for the Data Scientist

W.H. Inmon,Daniel Linstedt
Data Architecture A Primer for the Data Scientist Book PDF

Author : W.H. Inmon,Daniel Linstedt
Publisher : Morgan Kaufmann
Page : 378 pages
File Size : 48,6 Mb
Release : 2014-11-26
Category : Computers
ISBN : 9780128020913

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Data Architecture: A Primer for the Data Scientist by W.H. Inmon,Daniel Linstedt Pdf

Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or architecture it can’t be used to its full potential. Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist. Drawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems. You’ll be able to: Turn textual information into a form that can be analyzed by standard tools. Make the connection between analytics and Big Data Understand how Big Data fits within an existing systems environment Conduct analytics on repetitive and non-repetitive data Discusses the value in Big Data that is often overlooked, non-repetitive data, and why there is significant business value in using it Shows how to turn textual information into a form that can be analyzed by standard tools Explains how Big Data fits within an existing systems environment Presents new opportunities that are afforded by the advent of Big Data Demystifies the murky waters of repetitive and non-repetitive data in Big Data

Information Systems

Marinos Themistocleous,Vincenzo Morabito
Information Systems Book PDF

Author : Marinos Themistocleous,Vincenzo Morabito
Publisher : Springer
Page : 687 pages
File Size : 47,5 Mb
Release : 2017-08-14
Category : Computers
ISBN : 9783319659305

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Information Systems by Marinos Themistocleous,Vincenzo Morabito Pdf

This book constitutes selected papers from the 14th European, Mediterranean, and Middle Eastern Conference, EMCIS 2017, held in Coimbra, Portugal, in September 2017. EMCIS is focusing on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline following sound research methodologies that lead to results of measurable impact. The 37 full and 16 short papers presented in this volume were carefully reviewed and selected from a total of 106 submissions. They are organized in sections on big data and Semantic Web; digital services, social media and digital collaboration; e-government; healthcare information systems; information systems security and information privacy protection; IT governance; and management and organizational issues in information systems.

Advanced Information Systems Engineering

Paolo Giorgini,Barbara Weber
Advanced Information Systems Engineering Book PDF

Author : Paolo Giorgini,Barbara Weber
Publisher : Springer
Page : 710 pages
File Size : 42,5 Mb
Release : 2019-05-28
Category : Computers
ISBN : 9783030212902

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Advanced Information Systems Engineering by Paolo Giorgini,Barbara Weber Pdf

This book constitutes the refereed proceedings of the 31st International Conference on Advanced Information Systems Engineering, CAiSE 2019, held in Rome, Italy, in June 2019. The 41 full papers presented in this volume were carefully reviewed and selected from 206 submissions. The book also contains one invited talk in full paper length. The papers were organized in topical sections named: information system engineering; requirements and modeling; data modeling and analysis; business process modeling and engineering; information system security; and learning and mining in information systems. Abstracts on the CAiSE 2019 tutorials can be found in the back matter of the volume.

Big Data – BigData 2018

Francis Y. L. Chin,C. L. Philip Chen,Latifur Khan,Kisung Lee,Liang-Jie Zhang
Big Data BigData 2018 Book PDF

Author : Francis Y. L. Chin,C. L. Philip Chen,Latifur Khan,Kisung Lee,Liang-Jie Zhang
Publisher : Springer
Page : 387 pages
File Size : 50,9 Mb
Release : 2018-06-20
Category : Computers
ISBN : 9783319943015

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Big Data – BigData 2018 by Francis Y. L. Chin,C. L. Philip Chen,Latifur Khan,Kisung Lee,Liang-Jie Zhang Pdf

This volume constitutes the proceedings of the 7th International Conference on BIGDATA 2018, held as Part of SCF 2018 in Seattle, WA, USA in June 2018. The 22 full papers together with 10 short papers published in this volume were carefully reviewed and selected from 97 submissions. They are organized in topical sections such as Data analysis, data as a service, services computing, data conversion, data storage, data centers, dataflow architectures, data compression, data exchange, data modeling, databases, and data management.

Data Warehousing 101

Arshad Khan
Data Warehousing 101 Book PDF

Author : Arshad Khan
Publisher : iUniverse
Page : 136 pages
File Size : 45,7 Mb
Release : 2003
Category : Computers
ISBN : 9780595290697

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Data Warehousing 101 by Arshad Khan Pdf

A guide to data warehousing covers such topics as its basic characteristics and design, data migration, data marts, planning a data warehouse project, and operating a data warehouse.

Research and Practical Issues of Enterprise Information Systems

A Min Tjoa,Li Da Xu,Maria Raffai,Niina Maarit Novak
Research and Practical Issues of Enterprise Information Systems Book PDF

Author : A Min Tjoa,Li Da Xu,Maria Raffai,Niina Maarit Novak
Publisher : Springer
Page : 339 pages
File Size : 51,5 Mb
Release : 2016-11-17
Category : Business & Economics
ISBN : 9783319499444

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Research and Practical Issues of Enterprise Information Systems by A Min Tjoa,Li Da Xu,Maria Raffai,Niina Maarit Novak Pdf

This book constitutes the proceedings of the 10th International IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2016, held in Vienna, Austria, in December 2016. The conference provided an international forum for the broader IFIP community to discuss the latest research findings in the area of EIS and specifically aimed at facilitating the exchange of ideas and advances on all aspects and developments of EIS. The 25 papers presented in this volume were carefully reviewed and selected from 63 submissions. They were organized in topical sections on: semantic concepts and open data; customer relationship management; security and privacy issues; advanced manufacturing and management aspects; business intelligence and big data; decision support in EIS; and EIS-practices.

Business Information Systems

Witold Abramowicz,Rafael Corchuelo
Business Information Systems Book PDF

Author : Witold Abramowicz,Rafael Corchuelo
Publisher : Springer
Page : 554 pages
File Size : 47,7 Mb
Release : 2019-06-18
Category : Computers
ISBN : 9783030204853

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Business Information Systems by Witold Abramowicz,Rafael Corchuelo Pdf

The two-volume set LNBIP 353 and 354 constitutes the proceedings of the 22nd International Conference on Business Information Systems, BIS 2019, held in Seville, Spain, in June 2019. The theme of the BIS 2019 was "Data Science for Business Information Systems", inspiring researchers to share theoretical and practical knowledge of the different aspects related to Data Science in enterprises. The 67 papers presented in these proceedings were carefully reviewed and selected from 223 submissions. The contributions were organized in topical sections as follows: Part I: Big Data and Data Science; Artificial Intelligence; ICT Project Management; and Smart Infrastructure. Part II: Social Media and Web-based Systems; and Applications, Evaluations and Experiences.

ICT Education

Janet Liebenberg,Stefan Gruner
ICT Education Book PDF

Author : Janet Liebenberg,Stefan Gruner
Publisher : Springer
Page : 325 pages
File Size : 49,5 Mb
Release : 2017-11-17
Category : Education
ISBN : 9783319696706

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ICT Education by Janet Liebenberg,Stefan Gruner Pdf

This book constitutes the refereed proceedings of the 46th Annual Conference of the Southern African Computer Lecturers' Association on ICT Education, SACLA 2017, held in Magaliesburg, South Africa, in July 2017. The 22 revised full papers presented together with an extended abstract of a keynote paper were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections on ICT students of a new generation; technology and gaming in nowadays education; educational cooperation with the ICT industry; computer programming education; ICT courses and curricula.

New Trends in Data Warehousing and Data Analysis

Stanisław Kozielski,Robert Wrembel
New Trends in Data Warehousing and Data Analysis Book PDF

Author : Stanisław Kozielski,Robert Wrembel
Publisher : Springer Science & Business Media
Page : 365 pages
File Size : 49,9 Mb
Release : 2008-11-21
Category : Business & Economics
ISBN : 0387874305

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New Trends in Data Warehousing and Data Analysis by Stanisław Kozielski,Robert Wrembel Pdf

Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed to discover trends, patterns of behavior, and anomalies as well as finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data coming from many different sources make data integration and processing challenging. New Trends in Data Warehousing and Data Analysis brings together the most recent research and practical achievements in the DW and OLAP technologies. It provides an up-to-date bibliography of published works and the resource of research achievements. Finally, the book assists in the dissemination of knowledge in the field of advanced DW and OLAP.