data architecture a primer for the data scientist

Data Architecture  A Primer For The Data Scientist
Author: W.H. Inmon
Publisher: Morgan Kaufmann
Release Date: 2014-11-26
Pages: 378
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

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

Relational Database Design And Implementation
Author: Jan L. Harrington
Publisher: Morgan Kaufmann
Release Date: 2016-04-15
Pages: 712
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Relational Database Design and Implementation: Clearly Explained, Fourth Edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while optimizing performance. Database systems underlie the large majority of business information systems. Most of those in use today are based on the relational data model, a way of representing data and data relationships using only two-dimensional tables. This book covers relational database theory as well as providing a solid introduction to SQL, the international standard for the relational database data manipulation language. The book begins by reviewing basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL. Topics such as the relational data model, normalization, data entities, and Codd's Rules (and why they are important) are covered clearly and concisely. In addition, the book looks at the impact of big data on relational databases and the option of using NoSQL databases for that purpose. Features updated and expanded coverage of SQL and new material on big data, cloud computing, and object-relational databases Presents design approaches that ensure data accuracy and consistency and help boost performance Includes three case studies, each illustrating a different database design challenge Reviews the basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL

Recent Developments In Intelligent Information And Database Systems
Author: Dariusz Król
Publisher: Springer
Release Date: 2016-03-15
Pages: 468
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

The objective of this book is to contribute to the development of the intelligent information and database systems with the essentials of current knowledge, experience and know-how. The book contains a selection of 40 chapters based on original research presented as posters during the 8th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2016) held on 14–16 March 2016 in Da Nang, Vietnam. The papers to some extent reflect the achievements of scientific teams from 17 countries in five continents. The volume is divided into six parts: (a) Computational Intelligence in Data Mining and Machine Learning, (b) Ontologies, Social Networks and Recommendation Systems, (c) Web Services, Cloud Computing, Security and Intelligent Internet Systems, (d) Knowledge Management and Language Processing, (e) Image, Video, Motion Analysis and Recognition, and (f) Advanced Computing Applications and Technologies. The book is an excellent resource for researchers, those working in artificial intelligence, multimedia, networks and big data technologies, as well as for students interested in computer science and other related fields.

Exam Prep For  Data Architecture  A Primer For The Data
Author:
Publisher:
Release Date:
Pages:
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Strategies In Biomedical Data Science
Author: Jay A. Etchings
Publisher: John Wiley & Sons
Release Date: 2016-12-27
Pages: 464
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entails Explore the available advanced analytic resources and tools Learn how bioinformatics as a service is quickly becoming reality Examine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.

Urban Water Management Science Technology And Service Delivery
Author: Roumen Arsov
Publisher: Springer Science & Business Media
Release Date: 2003-11-30
Pages: 330
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Proceedings of the NATO Advanced Research Workshop, held in Borovetz, Bulgaria, 16-20 October 2002

Process Mining
Author: Wil M. P. van der Aalst
Publisher: Springer
Release Date: 2016-04-15
Pages: 467
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.

IRODS Primer 2
Author: Hao Xu
Publisher: Morgan & Claypool Publishers
Release Date: 2017-03-27
Pages: 131
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Policy-based data management enables the creation of community-specific collections. Every collection is created for a purpose. The purpose defines the set of properties that will be associated with the collection. The properties are enforced by management policies that control the execution of procedures that are applied whenever data are ingested or accessed. The procedures generate state information that defines the outcome of enforcing the management policy. The state information can be queried to validate assessment criteria and verify that the required collection properties have been conserved. The integrated Rule-Oriented Data System implements the data management framework required to support policy-based data management. Policies are turned into computer actionable Rules. Procedures are composed from a microservice-oriented architecture. The result is a highly extensible and tunable system that can enforce management policies, automate administrative tasks, and periodically validate assessment criteria. iRODS 4.0+ represents a major effort to analyze, harden, and package iRODS for sustainability, modularization, security, and testability. This has led to a fairly significant refactorization of much of the underlying codebase. iRODS has been modularized whereby existing iRODS 3.x functionality has been replaced and provided by small, interoperable plugins. The core is designed to be as immutable as possible and serve as a bus for handling the internal logic of the business of iRODS. Seven major interfaces have been exposed by the core and allow extensibility and separation of functionality into plugins.

Big Data
Author: Hrushikesha Mohanty
Publisher: Springer
Release Date: 2015-06-29
Pages: 184
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.

TIBCO Spotfire     A Comprehensive Primer
Author: Michael Phillips
Publisher: Packt Publishing Ltd
Release Date: 2015-02-19
Pages: 348
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

If you are a business user or data professional, this book will give you a solid grounding in the use of TIBCO Spotfire. This book assumes no prior knowledge of Spotfire or even basic data and visualization concepts.

Data Science For Transport
Author: Charles Fox
Publisher: Springer
Release Date: 2018-03-25
Pages: 185
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of "big data", "Data Science", and "smart cities" changing the world, with the Harvard Business Review describing Data Science as the "sexiest job of the 21st century". Transportation professionals and researchers need to be able to use data and databases in order to establish quantitative, empirical facts, and to validate and challenge their mathematical models, whose axioms have traditionally often been assumed rather than rigorously tested against data. This book takes a highly practical approach to learning about Data Science tools and their application to investigating transport issues. The focus is principally on practical, professional work with real data and tools, including business and ethical issues. "Transport modeling practice was developed in a data poor world, and many of our current techniques and skills are building on that sparsity. In a new data rich world, the required tools are different and the ethical questions around data and privacy are definitely different. I am not sure whether current professionals have these skills; and I am certainly not convinced that our current transport modeling tools will survive in a data rich environment. This is an exciting time to be a data scientist in the transport field. We are trying to get to grips with the opportunities that big data sources offer; but at the same time such data skills need to be fused with an understanding of transport, and of transport modeling. Those with these combined skills can be instrumental at providing better, faster, cheaper data for transport decision- making; and ultimately contribute to innovative, efficient, data driven modeling techniques of the future. It is not surprising that this course, this book, has been authored by the Institute for Transport Studies. To do this well, you need a blend of academic rigor and practical pragmatism. There are few educational or research establishments better equipped to do that than ITS Leeds". - Tom van Vuren, Divisional Director, Mott MacDonald "WSP is proud to be a thought leader in the world of transport modelling, planning and economics, and has a wide range of opportunities for people with skills in these areas. The evidence base and forecasts we deliver to effectively implement strategies and schemes are ever more data and technology focused a trend we have helped shape since the 1970's, but with particular disruption and opportunity in recent years. As a result of these trends, and to suitably skill the next generation of transport modellers, we asked the world-leading Institute for Transport Studies, to boost skills in these areas, and they have responded with a new MSc programme which you too can now study via this book." - Leighton Cardwell, Technical Director, WSP. "From processing and analysing large datasets, to automation of modelling tasks sometimes requiring different software packages to "talk" to each other, to data visualization, SYSTRA employs a range of techniques and tools to provide our clients with deeper insights and effective solutions. This book does an excellent job in giving you the skills to manage, interrogate and analyse databases, and develop powerful presentations. Another important publication from ITS Leeds." - Fitsum Teklu, Associate Director (Modelling & Appraisal) SYSTRA Ltd "Urban planning has relied for decades on statistical and computational practices that have little to do with mainstream data science. Information is still often used as evidence on the impact of new infrastructure even when it hardly contains any valid evidence. This book is an extremely welcome effort to provide young professionals with the skills needed to analyse how cities and transport networks actually work. The book is also highly relevant toanyone who will later want to build digital solutions to optimise urban travelbased on emerging data sources". - Yaron Hollander, author of "Transport Modelling for a Complete Beginner"

A Manager   S Primer On E Networking
Author: Dragan Nikolik
Publisher: Springer Science & Business Media
Release Date: 2003
Pages: 283
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book negotiates the hyper dimensions of the Internet through stories from myriads of Web sites, with its fluent presentation and simple but chronological organization of topics highlighting numerous opportunities and providing a solid starting point not only for inexperienced entrepreneurs and managers but anyone interested in applying information technology in business through real or virtual enterprise networks to date. A Manager's Primer on e-Networking is an easy to follow primer on modern enterprise networking that every manager needs to read.

Securing Oracle Database 12c  A Technical Primer EBook
Author: Michelle Malcher
Publisher: McGraw Hill Professional
Release Date: 2013-12-23
Pages:
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This Oracle Press eBook is filled with cutting-edge security techniques for Oracle Database 12c. It covers authentication, access control, encryption, auditing, controlling SQL input, data masking, validating configuration compliance, and more. Each chapter covers a single threat area, and each security mechanism reinforces the others.

A Primer On Hardware Prefetching
Author: Babak Falsafi
Publisher: Morgan & Claypool Publishers
Release Date: 2014-05-01
Pages: 67
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Since the 1970’s, microprocessor-based digital platforms have been riding Moore’s law, allowing for doubling of density for the same area roughly every two years. However, whereas microprocessor fabrication has focused on increasing instruction execution rate, memory fabrication technologies have focused primarily on an increase in capacity with negligible increase in speed. This divergent trend in performance between the processors and memory has led to a phenomenon referred to as the “Memory Wall.” To overcome the memory wall, designers have resorted to a hierarchy of cache memory levels, which rely on the principal of memory access locality to reduce the observed memory access time and the performance gap between processors and memory. Unfortunately, important workload classes exhibit adverse memory access patterns that baffle the simple policies built into modern cache hierarchies to move instructions and data across cache levels. As such, processors often spend much time idling upon a demand fetch of memory blocks that miss in higher cache levels. Prefetching—predicting future memory accesses and issuing requests for the corresponding memory blocks in advance of explicit accesses—is an effective approach to hide memory access latency. There have been a myriad of proposed prefetching techniques, and nearly every modern processor includes some hardware prefetching mechanisms targeting simple and regular memory access patterns. This primer offers an overview of the various classes of hardware prefetchers for instructions and data proposed in the research literature, and presents examples of techniques incorporated into modern microprocessors.

Provenance And Annotation Of Data And Processes
Author: Bertram Ludäscher
Publisher: Springer
Release Date: 2015-03-20
Pages: 298
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book constitutes the revised selected papers of the 5th International Provenance and Annotation Workshop, IPAW 2014, held in Cologne, Germany in June 2014. The 14 long papers, 20 short papers and 4 extended abstracts presented were carefully reviewed and selected from 53 submissions. The papers include tools that enable provenance capture from software compilers, from web publications and from scripts, using existing audit logs and employing both static and dynamic instrumentation.

Progressive Methods In Data Warehousing And Business Intelligence  Concepts And Competitive Analytics
Author: Taniar, David
Publisher: IGI Global
Release Date: 2009-02-28
Pages: 390
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Provides developments and research, as well as current innovative activities in data warehousing and mining, focusing on the intersection of data warehousing and business intelligence.

Introduction To Apache Spark 2 0
Author: Denny Lee
Publisher:
Release Date: 2017
Pages:
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

"This video series highlights what's new in Apache 2.0 and reviews its core concepts. The course starts with a high-level overview of Spark's components and then dives into Spark 2.0's three main themes: simplicity, speed, and intelligence. The simplicity section describes how Spark 2.0 unifies the Spark APIs and Spark session, and how Spark 2.0 simplifies machine learning via ML pipelines. The speed section illustrates how Spark 2.0 improves Spark performance with the push toward whole-stage code generation. And the intelligence section provides a quick primer on Spark Streaming and an introduction to the concepts of Structured Streaming. The course is designed for data scientists and data engineers with some basic experience using machine learning tools such as Python scikit-learn."--Resource description page.

Applied Science   Technology Index
Author:
Publisher:
Release Date: 1996
Pages:
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

Architectural Science Review
Author:
Publisher:
Release Date: 1996
Pages:
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

An ASIC Low Power Primer
Author: Rakesh Chadha
Publisher: Springer Science & Business Media
Release Date: 2012-12-05
Pages: 218
ISBN:
Available Language: English, Spanish, And French
EBOOK SYNOPSIS:

This book provides an invaluable primer on the techniques utilized in the design of low power digital semiconductor devices. Readers will benefit from the hands-on approach which starts form the ground-up, explaining with basic examples what power is, how it is measured and how it impacts on the design process of application-specific integrated circuits (ASICs). The authors use both the Unified Power Format (UPF) and Common Power Format (CPF) to describe in detail the power intent for an ASIC and then guide readers through a variety of architectural and implementation techniques that will help meet the power intent. From analyzing system power consumption, to techniques that can be employed in a low power design, to a detailed description of two alternate standards for capturing the power directives at various phases of the design, this book is filled with information that will give ASIC designers a competitive edge in low-power design.