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Books > Computing & IT > Computer software packages > Other software packages > Enterprise software > General
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.
Go beyond the basics and unleash the full power of QGIS 3.4 and 3.6
with practical, step-by-step examples Key Features One-stop
solution to all of your GIS needs Master QGIS by learning about
database integration, and geoprocessing tools Learn about the new
and updated Processing toolbox and perform spatial analysis Book
DescriptionQGIS is an open source solution to GIS and widely used
by GIS professionals all over the world. It is the leading
alternative to proprietary GIS software. Although QGIS is described
as intuitive, it is also, by default, complex. Knowing which tools
to use and how to apply them is essential to producing valuable
deliverables on time. Starting with a refresher on the QGIS basics
and getting you acquainted with the latest QGIS 3.6 updates, this
book will take you all the way through to teaching you how to
create a spatial database and a GeoPackage. Next, you will learn
how to style raster and vector data by choosing and managing
different colors. The book will then focus on processing raster and
vector data. You will be then taught advanced applications, such as
creating and editing vector data. Along with that, you will also
learn about the newly updated Processing Toolbox, which will help
you develop the advanced data visualizations. The book will then
explain to you the graphic modeler, how to create QGIS plugins with
PyQGIS, and how to integrate Python analysis scripts with QGIS. By
the end of the book, you will understand how to work with all
aspects of QGIS and will be ready to use it for any type of GIS
work. What you will learn Create and manage a spatial database Get
to know advanced techniques to style GIS data Prepare both vector
and raster data for processing Add heat maps, live layer effects,
and labels to your maps Master LAStools and GRASS integration with
the Processing Toolbox Edit and repair topological data errors
Automate workflows with batch processing and the QGIS Graphical
Modeler Integrate Python scripting into your data processing
workflows Develop your own QGIS plugins Who this book is forIf you
are a GIS professional, a consultant, a student, or perhaps a fast
learner who wants to go beyond the basics of QGIS, then this book
is for you. It will prepare you to realize the full potential of
QGIS.
Leverage Jira's powerful task management and workflow features to
better manage your business processes Key Features The book covers
all major applications of Jira, which are Jira Software, Jira Core,
Jira Service Desk. Configure project workflows and the fields that
will be used in the project with the help of Jira's features Create
tickets for issues and manage your projects using the Jira software
Book DescriptionJira is an issue tracker and project management
system. With their latest release, the Jira team has now expanded
their user base to agile teams as well as business teams. This book
provides a comprehensive explanation covering all major components
of Jira, including Jira Software, Jira Core, and Jira Service Desk.
This book starts with an introduction to Jira's unique features and
how it can be used as an issue-tracking tool. It will then teach
you about how a new project is created by a Jira administrator,
what responsibilities there are, and using correct and relevant
schemes in your project. You will then learn how to configure
project workflows and fields for project screens. You will
understand the various permissions used in projects and the
importance of project roles in Jira. Then, the book talks about the
concepts of versions acting as milestones and using components when
handling issues in your projects. It will then focus on analysing
data using built-in reports and creating dashboards in Jira. At the
end, it will discuss various best practices for users as well as
project managers or project administrators. What you will learn
Implement Jira as a project administrator or project manager Get
familiar with various functionalities of Jira Configure projects
and boards in your organisation's Jira instance Understand how and
when to use components and versions in your projects Manage project
configurations and Jira schemes Learn the best practices to manage
your Jira instance Who this book is forThis book will be especially
useful for project managers but it's also intended for other Jira
users, including developers, and any other industry besides
software development, who would like to use Jira for project
management.
Create dynamic dashboards to bring interactive data visualization
to your enterprise using Qlik Sense Key Features Implement various
Qlik Sense features to create interactive dashboards Analyze data
easily and make business decisions faster using Qlik Sense Perform
self-service data analytics and geospatial analytics using an
example-based approach Book DescriptionQlik Sense allows you to
explore simple-to-complex data to reveal hidden insights and data
relationships to make business-driven decisions. Hands-On Business
Intelligence with Qlik Sense begins by helping you get to grips
with underlying Qlik concepts and gives you an overview of all Qlik
Sense's features. You will learn advanced modeling techniques and
learn how to analyze the data loaded using a variety of
visualization objects. You'll also be trained on how to share apps
through Qlik Sense Enterprise and Qlik Sense Cloud and how to
perform aggregation with AGGR. As you progress through the
chapters, you'll explore the stories feature to create data-driven
presentations and update an existing story. This book will guide
you through the GeoAnalytics feature with the geo-mapping object
and GeoAnalytics connector. Furthermore, you'll learn about the
self-service analytics features and perform data forecasting using
advanced analytics. Lastly, you'll deploy Qlik Sense apps for
mobile and tablet. By the end of this book, you will be
well-equipped to run successful business intelligence applications
using Qlik Sense's functionality, data modeling techniques, and
visualization best practices. What you will learn Discover how to
load, reshape, and model data for analysis Apply data visualization
practices to create stunning dashboards Make use of Python and R
for advanced analytics Perform geo-analysis to create
visualizations using native objects Learn how to work with AGGR and
data stories Who this book is forIf you're a data analyst, BI
developer, or interested in business intelligence and want to gain
practical experience of working on Qlik Sense, this book is for
you. You'll also find it useful if you want to explore Qlik Sense's
next-generation applications for self-service business
intelligence. No prior experience of working with Qlik Sense is
required.
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.
Progressively explore UI development with Shiny via practical
examples Key Features Write a Shiny interface in pure HTML Explore
powerful layout functions to make attractive dashboards and other
intuitive interfaces Get to grips with Bootstrap and leverage it in
your Shiny applications Book DescriptionAlthough vanilla Shiny
applications look attractive with some layout flexibility, you may
still want to have more control over how the interface is laid out
to produce a dashboard. Hands-On Dashboard Development with Shiny
helps you incorporate this in your applications. The book starts by
guiding you in producing an application based on the diamonds
dataset included in the ggplot2 package. You'll create a single
application, but the interface will be reskinned and rebuilt
throughout using different methods to illustrate their uses and
functions using HTML, CSS, and JavaScript. You will also learn to
develop an application that creates documents and reports using R
Markdown. Furthermore, the book demonstrates the use of HTML
templates and the Bootstrap framework. Moving along, you will learn
how to produce dashboards using the Shiny command and dashboard
package. Finally, you will learn how to lay out applications using
a wide range of built-in functions. By the end of the book, you
will have an understanding of the principles that underpin layout
in Shiny applications, including sections of HTML added to a
vanilla Shiny application, HTML interfaces written from scratch,
dashboards, navigation bars, and interfaces. What you will learn
Add HTML to a Shiny application and write its interfaces from
scratch in HTML Use built-in Shiny functions to produce attractive
and flexible layouts Produce dashboards, adding icons and
notifications Explore Bootstrap themes to lay out your applications
Get insights into UI development with hands-on examples Use R
Markdown to create and download reports Who this book is forIf you
have some experience writing Shiny applications and want to use
HTML, CSS, and Bootstrap to make custom interfaces, then this book
is for you.
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.
Get productive quickly with Pentaho Data Integration Key Features
Take away the pain of starting with a complex and powerful system
Simplify your data transformation and integration work Explore,
transform, and validate your data with Pentaho Data Integration
Book DescriptionPentaho Data Integration(PDI) is an intuitive and
graphical environment packed with drag and drop design and powerful
Extract-Transform-Load (ETL) capabilities. Given its power and
flexibility, initial attempts to use the Pentaho Data Integration
tool can be difficult or confusing. This book is the ideal
solution. This book reduces your learning curve with PDI. It
provides the guidance needed to make you productive, covering the
main features of Pentaho Data Integration. It demonstrates the
interactive features of the graphical designer, and takes you
through the main ETL capabilities that the tool offers. By the end
of the book, you will be able to use PDI for extracting,
transforming, and loading the types of data you encounter on a
daily basis. What you will learn Design, preview and run
transformations in Spoon Run transformations using the Pan utility
Understand how to obtain data from different types of files Connect
to a database and explore it using the database explorer Understand
how to transform data in a variety of ways Understand how to insert
data into database tables Design and run jobs for sequencing tasks
and sending emails Combine the execution of jobs and
transformations Who this book is forThis book is for software
developers, business intelligence analysts, and others involved or
interested in developing ETL solutions, or more generally, doing
any kind of data manipulation.
Create dynamic dashboards to perform interactive analytics for
business intelligence operations Key Features Explore newly added
features in Qlik Sense Discover best practices to work with data
using Qlik Sense Learn to implement advanced functions for better
data insight Book DescriptionQlik Sense allows you to explore
simple and complex data to reveal hidden insight and data
relationships that help you make quality decisions for overall
productivity. An expert Qlik Sense user can use its features for
business intelligence in an enterprise environment effectively.
Qlik Sense Cookbook is an excellent guide for all aspiring Qlik
Sense developers and will empower you to create featured desktop
applications to obtain daily insights at work. This book takes you
through the basics and advanced functions of Qlik Sense February
2018 release. You'll start with a quick refresher on obtaining data
from data files and databases, and move on to some more refined
features including visualization, and scripting, as well as
managing apps and user interfaces. You will then understand how to
work with advanced functions like set analysis and set expressions.
As you make your way through this book, you will uncover newly
added features in Qlik Sense such as new visualizations, label
expressions and colors for dimension and measures. By the end of
this book, you will have explored various visualization extensions
to create your own interactive dashboard with the required tips and
tricks. This will help you overcome challenging situations while
developing your applications in Qlik Sense. What you will learn
Source, preview, and distribute your data through interactive
dashboards Explore and work with the latest visualization functions
Learn how to write and use script subroutines Make your UI advanced
and intuitive with custom objects and indicators Use visualization
extensions for your Qlik Sense dashboard Work with Aggr and learn
to use it within set analysis Who this book is forQlik Sense
Cookbook is for data and BI analysts who want to become well versed
with Qlik Sense to apply business intelligence in data. If you are
a beginner in data analytics and want to adopt an independent
recipe-based approach to learn the required concepts and services
in detail, this book is ideal! Individuals with prior knowledge of
its sister product, QlikView, will also benefit from this book.
Familiarity with the basics of business intelligence is a
prerequisite.
Get the deep insights you need to master efficient architectural
design considerations and solve common design problems in your
enterprise applications. Key Features The benefits and
applicability of using different design patterns in JAVA EE Learn
best practices to solve common design and architectural challenges
Choose the right patterns to improve the efficiency of your
programs Book DescriptionPatterns are essential design tools for
Java developers. Java EE Design Patterns and Best Practices helps
developers attain better code quality and progress to higher levels
of architectural creativity by examining the purpose of each
available pattern and demonstrating its implementation with various
code examples. This book will take you through a number of patterns
and their Java EE-specific implementations. In the beginning, you
will learn the foundation for, and importance of, design patterns
in Java EE, and then will move on to implement various patterns on
the presentation tier, business tier, and integration tier.
Further, you will explore the patterns involved in Aspect-Oriented
Programming (AOP) and take a closer look at reactive patterns.
Moving on, you will be introduced to modern architectural patterns
involved in composing microservices and cloud-native applications.
You will get acquainted with security patterns and operational
patterns involved in scaling and monitoring, along with some
patterns involved in deployment. By the end of the book, you will
be able to efficiently address common problems faced when
developing applications and will be comfortable working on scalable
and maintainable projects of any size. What you will learn
Implement presentation layers, such as the front controller pattern
Understand the business tier and implement the business delegate
pattern Master the implementation of AOP Get involved with
asynchronous EJB methods and REST services Involve key patterns in
the adoption of microservices architecture Manage performance and
scalability for enterprise-level applications Who this book is
forJava developers who are comfortable with programming in Java and
now want to learn how to implement design patterns to create
robust, reusable and easily maintainable apps.
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