|
Books > Computing & IT > Computer software packages > Other software packages > Enterprise software > General
This book is published under a CC BY-NC 4.0 license. The editors
present essential methods and tools to support a holistic approach
to the challenge of system upgrades and innovation in the context
of high-value products and services. The approach presented here is
based on three main pillars: an adaptation mechanism based on a
broad understanding of system dependencies; efficient use of system
knowledge through involvement of actors throughout the process; and
technological solutions to enable efficient actor communication and
information handling. The book provides readers with a better
understanding of the factors that influence decisions, and put
forward solutions to facilitate the rapid adaptation to changes in
the business environment and customer needs through intelligent
upgrade interventions. Further, it examines a number of sample
cases from various contexts including car manufacturing, utilities,
shipping and the furniture industry. The book offers a valuable
resource for both academics and practitioners interested in the
upgrading of capital-intensive products and services. "The work
performed in the project "Use-It-Wisely (UiW)" significantly
contributes towards a collaborative way of working. Moreover, it
offers comprehensive system modelling to identify business
opportunities and develop technical solutions within industrial
value networks. The developed UiW-framework fills a void and offers
a great opportunity. The naval construction sector of small
passenger vessels, for instance, is one industry that can benefit."
Nikitas Nikitakos, Professor at University of the Aegean,
Department of Shipping, Trade, and Transport, Greece. "Long-life
assets are crucial for both the future competiveness and
sustainability of society. Make wrong choices now and you are
locked into a wrong system for a long time. Make the right choices
now and society can prosper. This book gives important information
about how manufacturers can make right choices." Arnold Tukker,
Scientific director, Institute of Environmental Sciences (CML),
Leiden University, and senior scientist, TNO.
A step-by-step approach to building stunning dashboards with
QlikView Key Features Perform effective storytelling through
interactive dashboards built with QlikView Create different types
of visualizations from a variety of data sources Includes tips,
tricks, and best practices to perform effective Business
Intelligence using QlikView Book DescriptionQlikView is one of the
market leaders when it comes to building effective Business
Intelligence solutions. This book will show how you can leverage
its power to build your own dashboards to tell your own data story.
The book starts with showing you how to connect your data to
QlikView and create your own QlikView application. You will learn
how to add data from multiple sources, create a data model by
joining data, and then review it on the front end. You will work
with QlikView components such as charts, list boxes, input boxes,
and text objects to create stunning visualizations that help give
actionable business insights. You will also learn how to perform
analysis on your data in QlikView and master the various types of
security measures to be taken in QlikView. By the end of this book,
you will have all the essential knowledge required for insightful
data storytelling and creating useful BI dashboards using QlikView.
What you will learn Learn to use the latest and newest features of
QlikView Connect QlikView to various data sources, such as
databases and websites Create a fully featured data model without
circular references Display your data in maps, charts, and text
across multiple sheets Apply set analysis to your data in QlikView
expressions Secure your data based on the various audience types
Who this book is forThis book is best suited for BI professionals,
data analysts and budding QlikView developers who wish to build
effective dashboards using QlikView. Some basic understanding of
the data visualization concepts and Business Intelligence is
required.
Step through loading GIS data, creating GIS data, styling GIS and
making maps with QGIS following a simple narrative that will allow
you to build confidence as you progress. Key Features Work with GIS
data, a step by step guide from creation to making a map Perform
geoprocessing tasks and automate them using model builder Explore a
range of features in QGIS 3.4, discover the power behind open
source desktop GIS Book DescriptionQGIS is a user friendly, open
source geographic information system (GIS). The popularity of open
source GIS and QGIS, in particular, has been growing rapidly over
the last few years. This book is designed to help beginners learn
about all the tools required to use QGIS 3.4. This book will
provide you with clear, step-by-step instructions to help you apply
your GIS knowledge to QGIS. You begin with an overview of QGIS 3.4
and its installation. You will learn how to load existing spatial
data and create vector data from scratch. You will then be creating
styles and labels for maps. The final two chapters demonstrate the
Processing toolbox and include a brief investigation on how to
extend QGIS. Throughout this book, we will be using the GeoPackage
format, and we will also discuss how QGIS can support many
different types of data. Finally, you will learn where to get help
and how to become engaged with the GIS community. What you will
learn Use existing data to interact with the canvas via
zoom/pan/selection Create vector data and a GeoPackage and build a
simple project around it Style data, both vector and raster data,
using the Layer Styling Panel Design, label, save, and export maps
using the data you have created Analyze spatial queries using the
Processing toolbox Expand QGIS with the help of plugins, model
builder, and the command line Who this book is forIf you know the
basic functions and processes of GIS, and want to learn to use QGIS
to analyze geospatial data and create rich mapping applications,
then this is the book for you.
This book presents new concepts as well as practical applications
and experiences in the field of information technology for
environmental engineering. The book has three main focus areas:
firstly, it shows how information technologies can be employed to
support natural resource management and conservation, environmental
engineering, scientific simulation and integrated assessment
studies. Secondly, it demonstrates the application of computing in
the everyday practices of environmental engineers, natural
scientists, economists and social scientists. And thirdly, it
demonstrates how the complexity of natural phenomena can be
approached using interdisciplinary methods, where computer science
offers the infrastructure needed for environmental data collection
and management, scientific simulations, decision support
documentation and reporting.The book collects selected papers
presented at the 7th International Symposium on Environmental
Engineering, held in Port Elizabeth, South Africa in July 2015. It
discusses recent success stories in eco-informatics, promising
ideas and new challenges from the interdisciplinary viewpoints of
computer scientists, environmental engineers, economists and social
scientists, demonstrating new paradigms for problem-solving and
decision-making.
Build, design and improve advanced business intelligence solutions
using Tableau's latest features, including Tableau Prep, Tableau
Hyper, and Tableau Server Key Features Master new features in
Tableau 2019.1 to solve real-world analytics challenges Perform
Geo-Spatial Analytics, Time Series Analysis, and self-service
analytics using real-life examples Build and publish dashboards and
explore storytelling using Python and MATLAB integration support
Book DescriptionTableau is one of the leading business intelligence
(BI) tools used to solve BI and analytics challenges. With this
book, you will master Tableau's features and offerings in various
paradigms of the BI domain. This book is also the second edition of
the popular Mastering Tableau series, with new features, examples,
and updated code. The book covers essential Tableau concepts and
its advanced functionalities. Using Tableau Hyper and Tableau Prep,
you'll be able to handle and prepare data easily. You'll gear up to
perform complex joins, spatial joins, union, and data blending
tasks using practical examples. Following this, you'll learn how to
perform data densification to make displaying granular data easier.
Next, you'll explore expert-level examples to help you with
advanced calculations, mapping, and visual design using various
Tableau extensions. With the help of examples, you'll also learn
about improving dashboard performance, connecting Tableau Server,
and understanding data visualizations. In the final chapters,
you'll cover advanced use cases such as Self-Service Analytics,
Time Series Analytics, and Geo-Spatial Analytics, and learn to
connect Tableau to R, Python, and MATLAB. By the end of this book,
you'll have mastered the advanced offerings of Tableau and be able
to tackle common and not-so-common challenges faced in the BI
domain. What you will learn Get up to speed with various Tableau
components Master data preparation techniques using Tableau Prep
Discover how to use Tableau to create a PowerPoint-like
presentation Understand different Tableau visualization techniques
and dashboard designs Interact with the Tableau server to
understand its architecture and functionalities Study advanced
visualizations and dashboard creation techniques Brush up on
powerful Self-Service Analytics, Time Series Analytics, and
Geo-Spatial Analytics Who this book is forThis book is designed for
business analysts, BI professionals and data analysts who want to
master Tableau to solve a range of data science and business
intelligence problems. The book is ideal if you have a good
understanding of Tableau and want to take your skills to the next
level.
This book presents the latest findings and ongoing research in the
field of green information systems as well as green information and
communication technology (ICT). It provides insights into a whole
range of cross-cutting concerns in ICT and environmental sciences
and showcases how information and communication technologies allow
environmental and energy efficiency issues to be handled
effectively. Offering a selection of extended and reworked
contributions to the 30th International Conference EnviroInfo 2016,
it is essential reading for anyone wanting to extend their
expertise in the area.
This book reports on the results of an interdisciplinary and
multidisciplinary workshop on provenance that brought together
researchers and practitioners from different areas such as archival
science, law, information science, computing, forensics and visual
analytics that work at the frontiers of new knowledge on
provenance. Each of these fields understands the meaning and
purpose of representing provenance in subtly different ways. The
aim of this book is to create cross-disciplinary bridges of
understanding with a view to arriving at a deeper and clearer
perspective on the different facets of provenance and how
traditional definitions and applications may be enriched and
expanded via an interdisciplinary and multidisciplinary synthesis.
This volume brings together all of these developments, setting out
an encompassing vision of provenance to establish a robust
framework for expanded provenance theory, standards and
technologies that can be used to build trust in financial and other
types of information.
Master the art of container management with Kubernetes and study
robust container orchestration to ensure that your container-based
applications sail into production without hiccups Key Features
Implement best practices in cloud-native applications using
Kubernetes Explore the usage of client libraries and programmatic
access to Kubernetes Use your domain expertise to code Book
DescriptionBefore plunging into how Kubernetes works, this book
introduces you to the world of container orchestration and
describes the recent changes in application development. You'll
understand problems that Kubernetes solves and get to grips with
using Kubernetes resources to deploy applications. In addition to
this, you'll learn to apply the security model of Kubernetes
clusters. Kubernetes Design Patterns and Extensions describes how
services running in Kubernetes can leverage the platform's security
features. Once you've grasped all this, you'll explore how to
troubleshoot Kubernetes clusters and debug Kubernetes applications.
You also discover how to analyze the networking model and its
alternatives in Kubernetes, and apply best practices with design
patterns. By the end of this book, you'll have studied all about
using the power of Kubernetes for managing your containers. What
you will learn Understand and classify software designs as per the
cloud-native paradigm Apply best practices in Kubernetes with
design patterns Set up Kubernetes clusters in managed and unmanaged
environments Explore Kubernetes extension points Extend Kubernetes
with custom resources and controllers Integrate dynamic admission
controllers Develop and run custom schedulers in Kubernetes Analyze
networking models in Kubernetes Who this book is forKubernetes
Design Patterns and Extensions is for you if you are interested in
configuring and troubleshooting Kubernetes clusters and developing
microservices-based applications on Kubernetes clusters. DevOps
engineers with basic knowledge of Docker will also find this book
useful. It is assumed that you are comfortable using command-line
tools and programming concepts and languages.
Implement DevOps for Salesforce and explore its features Key
Features Learn DevOps principles and techniques for enterprise
operations in Salesforce Implement Continuous Integration and
Continuous Delivery using tools such as Jenkins and Ant script Use
the Force.com Migration Tool and Git to achieve versioning in
Salesforce Book DescriptionSalesforce is one of the top CRM tools
used these days, and with its immense functionalities and features,
it eases the functioning of an enterprise in various areas of
sales, marketing, and finance, among others. Deploying Salesforce
applications is a tricky event, and it can get quite taxing for
admins and consultants. This book addresses all the problems that
you might encounter while trying to deploy your applications and
shows you how to resort to DevOps to take these challenges head on.
Beginning with an overview of the development and delivery process
of a Salesforce app, DevOps for Salesforce covers various types of
sandboxing and helps you understand when to choose which type. You
will then see how different it is to deploy with Salesforce as
compared to deploying with another app. You will learn how to
leverage a migration tool and automate deployment using the latest
and most popular tools in the ecosystem. This book explores topics
such as version control and DevOps techniques such as Continuous
Integration, Continuous Delivery, and testing. Finally, the book
will conclude by showing you how to track bugs in your application
changes using monitoring tools and how to quantify your
productivity and ROI. By the end of the book, you will have
acquired skills to create, test, and effectively deploy your
applications by leveraging the features of DevOps. What you will
learn Implement DevOps for Salesforce and understand the benefits
it offers Abstract the features of Force.com MigrationTool to
migrate and retrieve metadata Develop your own CI/CD Pipeline for
Salesforce project Use Qualitia to perform scriptless automation
for Continuous Testing Track application changes using Bugzilla
Apply Salesforce best practices to implement DevOps Who this book
is forIf you are a Salesforce developer, consultant, or manager who
wants to learn DevOps tools and set up pipelines for small as well
as large Salesforce projects, this book is for you.
Leverage the power of Tableau to get actionable business insights
and make better business decisions Key Features Explore all the new
features of Tableau 2018.x Begin your Tableau journey by
understanding its core functionalities Apply advanced techniques
such as data blending and parameters to make the best of Tableau
Book DescriptionTableau is one of the leading business intelligence
tools used worldwide, in organizations of every scale. In its
latest release, Tableau 2018 promises richer and more useful
features related to visual analytics, reporting, dashboarding, and
a host of other data visualization aspects. Getting Started with
Tableau 2018.x will get you up and running with these features. The
book starts with all the new functionalities of the different
Tableau 2018 versions, along with concrete examples of how to use
them. However, if you're new to Tableau, don't worry! The rest of
the book will guide you through each major aspect of Tableau with
examples. You'll learn how to connect to data, build a data source,
visualize your data, build a dashboard, and share it online. In the
final chapters, you'll also learn advanced techniques such as
creating a cross-database join, data blending, and more. By the end
of the book, you will have a firm understanding of how to
effectively use Tableau to create quick, cost-effective, and
business-efficient business intelligence solutions. What you will
learn Discover new functionalities such as density, extensions, and
transparency introduced in Tableau 2018.x Connect tables and make
transformations such as pivoting the field and splitting columns
Build an efficient data source for your analysis Design insightful
data visualization using different mark types and properties Build
powerful dashboards and stories Share your work and interact with
Tableau Server Use Tableau to explore your data and find new
insights Explore Tableau's advanced features and gear up for
upcoming challenges Who this book is forIf you're a beginner or an
existing BI professional looking to get the most out of Tableau
2018's latest features, this book is for you. You'll also find this
book useful if you're an aspiring analyst who wants to learn the
capabilities of Tableau to answer business-specific questions. No
prior knowledge or experience with Tableau or any other Business
Intelligence tool is necessary.
The book presents a conceptually novel oscillations based paradigm,
the Oscillation-Based Multi-Agent System (OSIMAS), aimed at the
modelling of agents and their systems as coherent, stylized,
neurodynamic processes. This paradigm links emerging research
domains via coherent neurodynamic oscillation based representations
of the individual human mind and society (as a coherent collective
mind) states. Thus, this multidisciplinary paradigm delivers an
empirical and simulation research framework that provides a new way
of modelling the complex dynamics of individual and collective mind
states. This book addresses a conceptual problem - the lack of a
multidisciplinary, connecting paradigm, which could link fragmented
research in the fields of neuroscience, artificial intelligence
(AI), multi-agent system (MAS) and the social network domains. The
need for a common multidisciplinary research framework essentially
arises because these fields share a common object of investigation
and simulation, i.e., individual and collective human behavior.
Although the fields of research mentioned above all approach this
from different perspectives, their common object of investigation
unites them. By putting the various pathways of research as they
are interrelated into perspective, this book provides a
philosophical underpinning, experimental background and modelling
tools that the author anticipates will reveal new frontiers in
multidisciplinary research. Fundamental investigation of the
implicit oscillatory nature of agents' mind states and social
mediums in general can reveal some new ways of understanding the
periodic and nonperiodic fluctuations taking place in real life.
For example, via agent states-related diffusion properties, we
could investigate complex economic phenomena like the spread of
stock market crashes, currency crises, speculative oscillations
(bubbles and crashes), social unrest, recessionary effects,
sovereign defaults, etc. All these effects are closely associated
with social fragility, which follows and is affected by cycles such
as production, political, business and financial. Thus, the
multidisciplinary OSIMAS paradigm can yield new knowledge and
research perspectives, allowing for a better understanding of
social agents and their social organization principles.
This book presents a variant of UML that is especially suitable for
agile development of high-quality software. It adjusts the language
UML profile, called UML/P, for optimal assistance for the design,
implementation, and agile evolution to facilitate its use
especially in agile, yet model based development methods for data
intensive or control driven systems. After a general introduction
to UML and the choices made in the development of UML/P in Chapter
1, Chapter 2 includes a definition of the language elements of
class diagrams and their forms of use as views and representations.
Next, Chapter 3 introduces the design and semantic facets of the
Object Constraint Language (OCL), which is conceptually improved
and syntactically adjusted to Java for better comfort.
Subsequently, Chapter 4 introduces object diagrams as an
independent, exemplary notation in UML/P, and Chapter 5 offers a
detailed introduction to UML/P Statecharts. Lastly, Chapter 6
presents a simplified form of sequence diagrams for exemplary
descriptions of object interactions. For completeness, appendixes
A-C describe the full syntax of UML/P, and appendix D explains a
sample application from the E-commerce domain, which is used in all
chapters. This book is ideal for introductory courses for students
and practitioners alike.
This book provides a practical approach to designing and
implementing a Knowledge Management (KM) Strategy. The book
explains how to design KM strategy so as to align business goals
with KM objectives. The book also presents an approach for
implementing KM strategy so as to make it sustainable. It covers
all basic KM concepts, components of KM and the steps that are
required for designing a KM strategy. As a result, the book can be
used by beginners as well as practitioners. Knowledge management is
a discipline that promotes an integrated approach to identifying,
capturing, evaluating, retrieving, and sharing all of an
enterprise's information assets. These assets may include
databases, documents, policies, procedures, and previously
un-captured expertise and experience in individual workers.
Knowledge is considered to be the learning that results from
experience and is embedded within individuals. Sometimes the
knowledge is gained through critical thinking, watching others, and
observing results of others. These observations then form a pattern
which is converted in a 'generic form' to knowledge. This implies
that knowledge can be formed only after data (which is generated
through experience or observation) is grouped into information and
then this information pattern is made generic wisdom. However,
dissemination and acceptance of this knowledge becomes a key factor
in knowledge management. The knowledge pyramid represents the usual
concept of knowledge transformations, where data is transformed
into information, and information is transformed into knowledge.
Many organizations have struggled to manage knowledge and translate
it into business benefits. This book is an attempt to show them how
it can be done.
This contributed volume presents the experiences, challenges,
trends, and advances in Service Science from Japan's perspective.
As the global economy becomes more connected and competitive, many
economies depend the service sector on for growth and prosperity. A
multi-disciplinary approach to Service Science can potentially
transform service industries through research, education, and
practice. Offering a forum for best practices in Service Science
within Japan, the volume benefits its audience by sharing
viewpoints from a wide range of geographical regions and economies.
The book is organized as follows: * Foundations of Service Science
and the service industry sector * Public/Private sector
partnerships, policies, trade in services, future prospects *
Contributions from science, social science, management,
engineering, design as well as industry sector perspectives *
Road-maps, methodology, business development, strategies and
innovative models, application of information technology,
performance measures, and service system design * Education and
workforce development * Case studies from practice, research and
educational community * Future Directions in Japan This book
includes three Forewords written by key leaders in Service
Science:* Takayuki Aso (Ministry of Education, Culture, Sports,
Science & Technology in Japan) * Yasuhiro Maeda (Director,
Service Affairs Policy Division METI) * Norihisa Doi (Professor
Emeritus, Keio University and Service Science, Solutions and
Foundation Integrated Research (S3FIRE) Program Officer,
JST/RISTEX)
There are two different, interdependent components of IT that are
important to a CIO: strategy, which is long-term; and tactical and
operational concerns, which are short-term. Based on this
distinction and its repercussions, this book clearly separates
strategy from day-to-day operations and projects from operations -
the two most important functions of a CIO. It starts by discussing
the ideal organization of an IT department and the rationale behind
it, and then goes on to debate the most pressing need - managing
operations. It also explains some best industry standards and their
practical implementation, and discusses project management, again
highlighting the differences between the methodologies used in
projects and those used in operations. A special chapter is devoted
to the cutover of projects into operations, a critical aspect
seldom discussed in detail. Other chapters touch on the management
of IT portfolios, project governance, as well as agile project
methodology, how it differs from the waterfall methodology, and
when it is convenient to apply each. Taking the fundamental
principles of IT service management and best practices in project
management, the book offers a single, seamless reference for IT
managers and professionals. It is highly practical, explaining how
to apply these principles based on the author's extensive
experience in industry.
|
|