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Books > Computing & IT > Computer software packages > Other software packages > Enterprise software > General
Publisher's note: A new sixth edition, updated with enhanced Jira
8.21 and Data Center features has now been published. Key Features
Work on agile projects in Jira from both the administrator and end
user's perspective Explore the improved Scrum and Kanban board and
backlog Work through exercises at the end of each chapter to
reinforce your skills Book DescriptionAtlassian Jira enables
effective bug tracking for your software and mobile applications
and provides tools to track and manage tasks for your projects.
Jira Essentials is a comprehensive guide, now updated to Jira 8 to
include enhanced features such as updates to Scrum and Kanban UI,
additional search capabilities, and changes to Jira Service Desk.
The book starts by explaining how to plan and set up a new Jira 8
instance from scratch before getting you acquainted with key
features such as emails, workflows, business processes, and much
more. You'll then understand Jira's data hierarchy and how to
design and work with projects. Since Jira is used for issue
management, this book delves into the different issues that can
arise in your projects. You'll explore fields, including custom
fields, and learn to use them for more effective data collection.
You'll create new screens from scratch and customize them to suit
your requirements. The book also covers workflows and business
processes, and guides you in setting up incoming and outgoing mail
servers. Toward the end, you'll study Jira's security model and
Jira Service Desk, which allows you to run Jira as a support
portal. By the end of this Jira book, you will be able to implement
Jira 8 in your projects with ease. What you will learn Understand
Jira's data hierarchy and how to design and work with projects in
Jira Use Jira for agile software projects, business process
management, customer service support, and more Understand issues
and work with them Design both system and custom fields to behave
differently under different contexts Create and design your own
screens and apply them to different project and issue types Gain an
understanding of the workflow and its various components Set up
both incoming and outgoing mail servers to work with e-mails 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 leverage Jira's powerful task management and
workflow features to better manage their business processes.
Designing and deploying solutions using the SAP BusinessObjects
Business Intelligence platform 4.2. Key Features Get up and running
with the SAP BusinessObjects Business Intelligence platform Perform
effective data analysis and visualization for actionable insights
Enhance your BI strategy by creating different types of reports and
dashboards using SAP BusinessObjects Book DescriptionThe SAP
BusinessObjects Business Intelligence platform is a powerful
reporting and analysis tool. This book is the ideal introduction to
the SAP BusinessObjects Business Intelligence platform, introducing
you to its data visualization, visual analytics, reporting, and
dashboarding capabilities. The book starts with an overview of the
BI platform and various data sources for reporting. Then, we move
on to looking at data visualization, analysis, reporting, and
analytics using BusinessObjects Business Intelligence tools. You
will learn about the features associated with reporting,
scheduling, and distribution and learn how to deploy the platform.
Toward the end, you will learn about the strategies and factors
that should be considered during deployment. By the end, you will
be confident working with the SAP BusinessObjects Business
Intelligence platform to deliver better insights for more effective
decision making. What you will learn Work with various tools to
create interactive data visualization and analysis Query, report,
and analyze with SAP Business Objects Web Intelligence Create a
report in SAP Crystal Reports for Enterprise Visualize and
manipulate data using an SAP Lumira Storyboard Deep dive into the
workings of the SAP predictive analytics tool Deploy and configure
SAP BO Intelligence platform 4.2 Who this book is forThis book is
for Business Intelligence professionals and existing SAP ecosystem
users who want to perform effective Business Intelligence using SAP
BusinessObjects.
Perform advanced dashboard, visualization, and analytical
techniques with Tableau Desktop, Tableau Prep, and Tableau Server
Key Features Unique problem-solution approach to aid effective
business decision-making Create interactive dashboards and
implement powerful business intelligence solutions Includes best
practices on using Tableau with modern cloud analytics services
Book DescriptionTableau has been one of the most popular business
intelligence solutions in recent times, thanks to its powerful and
interactive data visualization capabilities. Tableau 2019.x
Cookbook is full of useful recipes from industry experts, who will
help you master Tableau skills and learn each aspect of Tableau's
ecosystem. This book is enriched with features such as Tableau
extracts, Tableau advanced calculations, geospatial analysis, and
building dashboards. It will guide you with exciting data
manipulation, storytelling, advanced filtering, expert
visualization, and forecasting techniques using real-world
examples. From basic functionalities of Tableau to complex
deployment on Linux, you will cover it all. Moreover, you will
learn advanced features of Tableau using R, Python, and various
APIs. You will learn how to prepare data for analysis using the
latest Tableau Prep. In the concluding chapters, you will learn how
Tableau fits the modern world of analytics and works with modern
data platforms such as Snowflake and Redshift. In addition, you
will learn about the best practices of integrating Tableau with ETL
using Matillion ETL. By the end of the book, you will be ready to
tackle business intelligence challenges using Tableau's features.
What you will learn Understand the basic and advanced skills of
Tableau Desktop Implement best practices of visualization,
dashboard, and storytelling Learn advanced analytics with the use
of build in statistics Deploy the multi-node server on Linux and
Windows Use Tableau with big data sources such as Hadoop, Athena,
and Spectrum Cover Tableau built-in functions for forecasting using
R packages Combine, shape, and clean data for analysis using
Tableau Prep Extend Tableau's functionalities with REST API and
R/Python Who this book is forTableau 2019.x Cookbook is for data
analysts, data engineers, BI developers, and users who are looking
for quick solutions to common and not-so-common problems faced
while using Tableau products. Put each recipe into practice by
bringing the latest offerings of Tableau 2019.x to solve real-world
analytics and business intelligence challenges. Some understanding
of BI concepts and Tableau is required.
Learn the foundations of blockchain technology - its core concepts
and algorithmic solutions across cryptography, peer-to-peer
technology, and game theory. Key Features Learn the core concepts
and foundations of the blockchain and cryptocurrencies Understand
the protocols and algorithms behind decentralized applications
Master how to architect, build, and optimize blockchain
applications Book DescriptionBlockchain technology is a combination
of three popular concepts: cryptography, peer-to-peer networking,
and game theory. This book is for anyone who wants to dive into
blockchain from first principles and learn how decentralized
applications and cryptocurrencies really work. This book begins
with an overview of blockchain technology, including key
definitions, its purposes and characteristics, so you can assess
the full potential of blockchain. All essential aspects of
cryptography are then presented, as the backbone of blockchain. For
readers who want to study the underlying algorithms of blockchain,
you'll see Python implementations throughout. You'll then learn how
blockchain architecture can create decentralized applications.
You'll see how blockchain achieves decentralization through
peer-to-peer networking, and how a simple blockchain can be built
in a P2P network. You'll learn how these elements can implement a
cryptocurrency such as Bitcoin, and the wider applications of
blockchain work through smart contracts. Blockchain optimization
techniques, and blockchain security strategies are then presented.
To complete this foundation, we consider blockchain applications in
the financial and non-financial sectors, and also analyze the
future of blockchain. A study of blockchain use cases includes
supply chains, payment systems, crowdfunding, and DAOs, which
rounds out your foundation in blockchain technology. What you will
learn The core concepts and technical foundations of blockchain The
algorithmic principles and solutions that make up blockchain and
cryptocurrencies Blockchain cryptography explained in detail How to
realize blockchain projects with hands-on Python code How to
architect the blockchain and blockchain applications Decentralized
application development with MultiChain, NEO, and Ethereum
Optimizing and enhancing blockchain performance and security
Classical blockchain use cases and how to implement them Who this
book is forThis book is for anyone who wants to dive into
blockchain technology from first principles and build a
foundational knowledge of blockchain. Familiarity with Python will
be helpful if you want to follow how the blockchain protocols are
implemented. For readers who are blockchain application developers,
most of the applications used in this book can be executed on any
platform.
Effectively implement features and components for any computing
environment Key Features Explore the latest features of VMware
Horizon 7.7 Virtualize your desktop infrastructure using new
features introduced in Horizon Implement App Volumes and User
Environment Manager in your infrastructure Book DescriptionThis
third edition of Implementing VMware Horizon 7.7 has been updated
to get you up to speed with VMware Horizon 7.7 by showing you how
to use its key features and deploying an end-user computing
infrastructure for your own organization. The book begins by
guiding you on how to deploy all the core requirements for a VMware
Horizon infrastructure. It then moves on to show you how to
provision and administer end-user computing resources using VMware
Horizon. You'll not only be able to deploy the core VMware Horizon
features, but you'll also be able to implement new features, such
as the Just-in-Time Management Platform (JMP) and the Horizon
Console. You'll also focus on the latest features and components of
the Horizon platform and learn when and how they are used. By the
end of the book, you will have developed a solid understanding of
how your organization can benefit from the capabilities VMware
Horizon offers and how each of its components is implemented. What
you will learn Work with the different products that make up VMware
Horizon Implement a multi-site VMware Horizon Pod using the Cloud
Pod Architecture feature Deploy and configure VMware Horizon's
optional components Implement and maintain Microsoft RDSH, Horizon
Linux, and Windows Desktop Pools and RDSH Application Pools
Configure and manage Horizon remotely using PowerCLI Learn about
the Microsoft Windows Group Policy templates for Horizon Understand
how to manage the SSL certificates for each of the VMware Horizon
components Who this book is forIf you're a system administrator,
solutions architect, or desktop engineer looking to level up your
skills working with VMware's Horizon ecosystem and want to build a
successful deployment strategy for desktops and applications, this
book is for you.
Dieses Buch behandelt erstmals sowohl die
betriebswirtschaftlichen als auch die methodischen Grundlagen des
Produktionsfaktors Information. Information wird im betrieblichen
Kontext uberwiegend durch die Ressource "Daten" bestimmt. Das
Lehrbuch vermittelt auf anschauliche Weise, wie Daten entstehen
(Prozesse), wie sie systematisiert und aufgebaut sind (Strukturen)
und welche betriebswirtschaftliche Bedeutung (Inhalte) sie haben.
Die verschiedenen betrieblichen Beispiele werden durch eine alle
Lerninhalte integrierende Fallstudie zusammengefasst. Die
entsprechende grafische Darstellung betrieblicher Daten und
Prozesse erfolgt mit Hilfe der Unified Modelling Language (UML).
Daruber hinaus wird das Konzept der Extensible Markup Language
(XML) vorgestellt. Zu allen Kapiteln bietet das Buch
Ubungsaufgaben. Die umfangreichen Beispiele basieren uberwiegend
auf realen betrieblichen Fallen.
Build powerful data analytics applications with this business
intelligence tool and overcome all your business challenges Key
Features Master time-saving techniques and make your QlikView
development more efficient Perform geographical analysis and
sentiment analysis in your QlikView applications Explore advanced
QlikView techniques, tips, and tricks to deliver complex business
requirements Book DescriptionQlikView is one of the most flexible
and powerful business intelligence platforms around, and if you
want to transform data into insights, it is one of the best options
you have at hand. Use this Learning Path, to explore the many
features of QlikView to realize the potential of your data and
present it as impactful and engaging visualizations. Each chapter
in this Learning Path starts with an understanding of a business
requirement and its associated data model and then helps you create
insightful analysis and data visualizations around it. You will
look at problems that you might encounter while visualizing complex
data insights using QlikView, and learn how to troubleshoot these
and other not-so-common errors. This Learning Path contains
real-world examples from a variety of business domains, such as
sales, finance, marketing, and human resources. With all the
knowledge that you gain from this Learning Path, you will have all
the experience you need to implement your next QlikView project
like a pro. This Learning Path includes content from the following
Packt products: QlikView for Developers by Miguel Angel Garcia,
Barry Harmsen Mastering QlikView by Stephen Redmond Mastering
QlikView Data Visualization by Karl Pover What you will learn
Deliver common business requirements using advanced techniques Load
data from disparate sources to build associative data models
Understand when to apply more advanced data visualization Utilize
the built-in aggregation functions for complex calculations Build a
data architecture that supports scalable QlikView deployments
Troubleshoot common data visualization errors in QlikView Protect
your QlikView applications and data Who this book is forThis
Learning Path is designed for developers who want to go beyond
their technical knowledge of QlikView and understand how to create
analysis and data visualizations that solve real business needs. To
grasp the concepts explained in this Learning Path, you should have
a basic understanding of the common QlikView functions and some
hands-on experience with the tool.
Learn a modern approach to data analysis using Python to harness
the power of programming and AI across your data. Detailed case
studies bring this modern approach to life across visual data,
social media, graph algorithms, and time series analysis. Key
Features Bridge your data analysis with the power of programming,
complex algorithms, and AI Use Python and its extensive libraries
to power your way to new levels of data insight Work with AI
algorithms, TensorFlow, graph algorithms, NLP, and financial time
series Explore this modern approach across with key industry case
studies and hands-on projects Book DescriptionData Analysis with
Python offers a modern approach to data analysis so that you can
work with the latest and most powerful Python tools, AI techniques,
and open source libraries. Industry expert David Taieb shows you
how to bridge data science with the power of programming and
algorithms in Python. You'll be working with complex algorithms,
and cutting-edge AI in your data analysis. Learn how to analyze
data with hands-on examples using Python-based tools and Jupyter
Notebook. You'll find the right balance of theory and practice,
with extensive code files that you can integrate right into your
own data projects. Explore the power of this approach to data
analysis by then working with it across key industry case studies.
Four fascinating and full projects connect you to the most critical
data analysis challenges you're likely to meet in today. The first
of these is an image recognition application with TensorFlow -
embracing the importance today of AI in your data analysis. The
second industry project analyses social media trends, exploring big
data issues and AI approaches to natural language processing. The
third case study is a financial portfolio analysis application that
engages you with time series analysis - pivotal to many data
science applications today. The fourth industry use case dives you
into graph algorithms and the power of programming in modern data
science. You'll wrap up with a thoughtful look at the future of
data science and how it will harness the power of algorithms and
artificial intelligence. What you will learn A new toolset that has
been carefully crafted to meet for your data analysis challenges
Full and detailed case studies of the toolset across several of
today's key industry contexts Become super productive with a new
toolset across Python and Jupyter Notebook Look into the future of
data science and which directions to develop your skills next Who
this book is forThis book is for developers wanting to bridge the
gap between them and data scientists. Introducing PixieDust from
its creator, the book is a great desk companion for the
accomplished Data Scientist. Some fluency in data interpretation
and visualization is assumed. It will be helpful to have some
knowledge of Python, using Python libraries, and some proficiency
in web development.
Explore various Azure services to build solutions that leverage
effective design patterns Key Features Create, deploy, and host
cloud applications on Azure Understand various Azure services that
help you host serverless applications Explore practical examples to
help you secure and troubleshoot your cloud environment Book
DescriptionAzure is one of the leading public cloud service
providers. Thanks to a number of Azure service updates, it
continues to make advances in the realm of cloud computing. Learn
Microsoft Azure starts with the fundamentals of cloud computing.
You will learn to configure and set up the Azure infrastructure. As
you make your way through the book, you'll explore Azure services,
along with working on virtual memory systems (VMS) and deployment
models. You will understand various services in the Azure
ecosystem, such as Azure IoT and Azure Analytics, among others. An
easy-to-follow introduction to various cloud design patterns will
also add to your efficiency in designing cloud solutions. In the
concluding chapters, you'll secure your virtual networks using
Network security groups and configure Azure Active Directory (Azure
AD) to set a custom domain name and company profile. By the end of
this book, you will have learned to secure and troubleshoot your
Azure cloud environment and be fully aware of best practices for
Azure cloud administration. What you will learn Understand the
cloud services offered by Azure Design storage and networks in
Azure for your Azure VM Work with web apps and Azure SQL databases
Build your identity management solutions on Azure using Azure AD
Monitor, protect, and automate your Azure services using Operation
Management Suite (OMS) Implement OMS for Azure services Who this
book is forLearn Microsoft Azure is for administrators, cloud
engineers, and developers who want to get started with using Azure
as their cloud platform and build cloud-based applications for
their enterprises.
Architect scalable, reliable, and maintainable applications for
enterprises with Python Key Features Explore various Python design
patterns used for enterprise software development Apply best
practices for testing and performance optimization to build stable
applications Learn about different attacking strategies used on
enterprise applications and how to avoid them Book
DescriptionDynamically typed languages like Python are continuously
improving. With the addition of exciting new features and a wide
selection of modern libraries and frameworks, Python has emerged as
an ideal language for developing enterprise applications. Hands-On
Enterprise Application Development with Python will show you how to
build effective applications that are stable, secure, and easily
scalable. The book is a detailed guide to building an end-to-end
enterprise-grade application in Python. You will learn how to
effectively implement Python features and design patterns that will
positively impact your application lifecycle. The book also covers
advanced concurrency techniques that will help you build a RESTful
application with an optimized frontend. Given that security and
stability are the foundation for an enterprise application, you'll
be trained on effective testing, performance analysis, and security
practices, and understand how to embed them in your codebase during
the initial phase. You'll also be guided in how to move on from a
monolithic architecture to one that is service oriented, leveraging
microservices and serverless deployment techniques. By the end of
the book, you will have become proficient at building efficient
enterprise applications in Python. What you will learn Understand
the purpose of design patterns and their impact on application
lifecycle Build applications that can handle large amounts of
data-intensive operations Uncover advanced concurrency techniques
and discover how to handle a large number of requests in production
Optimize frontends to improve the client-side experience of your
application Effective testing and performance profiling techniques
to detect issues in applications early in the development cycle
Build applications with a focus on security Implement large
applications as microservices to improve scalability Who this book
is forIf you're a developer who wants to build enterprise-grade
applications, this book is for you. Basic to intermediate-level of
programming experience with Python and database systems is required
to understand the concepts covered in this book.
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