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Books > Computing & IT > Computer software packages > Other software packages > Enterprise software
Build, design, and improve advanced business intelligence solutions
using Tableau's latest features, including Tableau Prep Builder,
Tableau Hyper, and Tableau Server Key Features Master new features
in Tableau 2021 to solve real-world analytics challenges Perform
geo-spatial, time series, and self-service analytics using
real-life examples Build and publish dashboards and explore
storytelling using Python and R integration support Book
DescriptionTableau is one of the leading business intelligence (BI)
tools that can help you solve data analysis challenges. With this
book, you will master Tableau's features and offerings in various
paradigms of the BI domain. Updated with fresh topics including
Quick Level of Detail expressions, the newest Tableau Server
features, Einstein Discovery, and more, this book covers essential
Tableau concepts and advanced functionalities. Leveraging Tableau
Hyper files and using Prep Builder, you'll be able to perform data
preparation and handling easily. You'll gear up to perform complex
joins, spatial joins, unions, and data blending tasks using
practical examples. Next, you'll learn how to execute data
densification and further explore expert-level examples to help you
with calculations, mapping, and visual design using Tableau
extensions. You'll also learn about improving dashboard
performance, connecting to Tableau Server and understanding data
visualization with examples. Finally, you'll cover advanced use
cases such as self-service analysis, time series analysis, and
geo-spatial analysis, and connect Tableau to Python and R to
implement programming functionalities within it. By the end of this
Tableau book, you'll have mastered the advanced offerings of
Tableau 2021 and be able to tackle common and advanced challenges
in the BI domain. What you will learn Get up to speed with various
Tableau components Master data preparation techniques using Tableau
Prep Builder 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, business intelligence 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.
Write automated unit tests for the ABAP language. This book teaches
programmers using simple examples and metaphors and explains the
underlying concepts of writing effective automated unit tests.
Many, if not most, ABAP programmers learned their programming and
testing skills before the ABAP development environment provided an
automated unit testing facility. Automated Unit Testing with ABAP:
A Practical Approach offers hope and salvation to ABAP programmers
who continue to toil with antiquated manual unit testing processes,
taking them by the hand and lifting them out of that dungeon of
despair with a modern and proven alternative. It begins by
explaining how the xUnit family of automated testing frameworks
provides a quick and effective means of insuring high-quality
software. It then focuses on the ABAP Unit Testing Facility, the
xUnit framework applicable specifically to the ABAP language,
showing how it can be used to bring ABAP applications under
automated testing control, from old legacy applications to those
newly written. Whereas xUnit testing has been widely accepted with
developers writing in many other programming languages, it is an
unfortunate fact in the ABAP community that many programmers still
are unfamiliar with xUnit concepts and do not know how to begin
implementing automated unit testing into their development process.
This book demonstrates how to refactor programs so they become
designed for testability, showing how to use process encapsulation
and test isolation to facilitate automated testing, including a
thorough explanation of test-driven development and the use of test
doubles. The book: Shows how to write automated unit tests for ABAP
Instills ABAP programmers with the confidence to refactor poorly
written code Explains how an automated testing harness facilitates
rapid software development Teaches how to utilize test-driven
development (TDD) with ABAP Offers advice and tips on the best ways
to write automated unit tests What You Will Learn Become familiar
with the xUnit approach to testing Know the ABAP statements that
interfere with running automated unit tests and how to accommodate
them Understand what it means to isolate code for testing and how
this is achieved Gain the confidence to refactor poorly written
code Make ABAP programs designed for testability Reap the benefits
of spending less time manually unit testing ABAP programs Use
test-driven development (TDD) with ABAP programming Use
configurable test doubles in ABAP Who This Book Is For ABAP
programmers who remain unfamiliar with the automated unit testing
facility and those who already use it but want to improve their
skill writing and using automated tests. The book addresses the
reluctance and trepidation felt by procedural ABAP programmers who
need to know some object-oriented concepts to use this facility,
expands their horizons, and helps them step through the doorway
leading to a different approach to program design.
Implement critical business processes with mySAP Business Suite to
integrate key functions that add value to every facet of your
organization Key Features Learn master data concepts and UI
technologies in SAP systems Explore key functions of different
sales processes, order fulfillment options, transportation
planning, logistics execution processes, and customer invoicing
Configure the Order to Cash process in SAP systems and apply it to
your business needs Book DescriptionUsing different SAP systems in
an integrated way to gain maximum benefits while running your
business is made possible by this book, which covers how to
effectively implement SAP Order to Cash Process with SAP Customer
Relationship Management (CRM), SAP Advanced Planning and
Optimization (APO), SAP Transportation Management System (TMS), SAP
Logistics Execution System (LES), and SAP Enterprise Central
Component (ECC). You'll understand the integration of different
systems and how to optimize the complete Order to Cash Process with
mySAP Business Suite. With the help of this book, you'll learn to
implement mySAP Business Suite and understand the shortcomings in
your existing SAP ECC environment. As you advance through the
chapters, you'll get to grips with master data attributes in
different SAP environments and then shift focus to the Order to
Cash cycle, including order management in SAP CRM, order
fulfillment in SAP APO, transportation planning in SAP TMS,
logistics execution in SAP LES, and billing in SAP ECC. By the end
of this SAP book, you'll have gained a thorough understanding of
how different SAP systems work together with the Order to Cash
process. What you will learn Discover master data in different SAP
environments Find out how different sales processes, such as
quotations, contracts, and order management, work in SAP CRM Become
well-versed with the steps involved in order fulfillment, such as
basic and advanced ATP checks in SAP APO Get up and running with
transportation requirement and planning and freight settlement with
SAP TMS Explore warehouse management with SAP LES to ensure high
transparency and predictability of processes Understand how to
process customer invoicing with SAP ECC Who this book is forThis
book is for SAP consultants, SME managers, solution architects, and
key users of SAP with knowledge of end-to-end business processes.
Customers operating SAP CRM, SAP TMS, and SAP APO as part of daily
operations will also benefit from this book by understanding the
key capabilities and integration touchpoints. Working knowledge of
SAP ECC, SAP CRM, SAP APO, SAP TMS, and SAP LES is necessary to get
started with this book.
Build effective analytical data models, reports, and dashboards
using the advanced features of Power BI. Purchase of the print or
Kindle book includes a free eBook in the PDF format. Key Features
Update your knowledge with new recipes for query optimization,
aggregation tables, Power BI API, and paginated reports Work with
recipes across diverse Power BI platforms including the Power BI
Service and Mobile Applications Implement custom solutions with M
and DAX languages through actionable guidance and proven
development techniques Book DescriptionThe complete everyday
reference guide to Power BI, written by an internationally
recognized Power BI expert duo, is back with a new and updated
edition. Packed with revised practical recipes, Microsoft Power BI
Cookbook, Second Edition, helps you navigate Power BI tools and
advanced features. It also demonstrates the use of end-to-end
solutions that integrate those features to get the most out of
Power BI. With the help of the recipes in this book, you'll gain
advanced design and development insight, practical tips, and
guidance on enhancing existing Power BI projects. The updated
recipes will equip you with everything you need to know to
implement evergreen frameworks that will stay relevant as Power BI
updates. You'll familiarize yourself with Power BI development
tools and services by going deep into the data connectivity,
transformation, modeling, visualization, and analytical
capabilities of Power BI. By the end of this book, you'll make the
most of Power BI's functional programming languages of DAX and M
and deliver powerful solutions to common business intelligence
challenges. What you will learn Cleanse, stage, and integrate your
data sources with Power Query (M) Remove data complexities and
provide users with intuitive, self-service BI capabilities Build
business logic and analysis into your solutions via the DAX
programming language and dashboard-ready calculations Implement
aggregation tables to accelerate query performance over large data
sources Create and integrate paginated reports Understand the
differences and implications of DirectQuery, live connections,
Import, and Composite model datasets Integrate other Microsoft data
tools into your Power BI solution Who this book is forIf you're a
BI professional who wants to up their knowledge of Power BI and
offer more value to their organization, then this book is for you.
Those looking for quick solutions to common Power BI problems will
also find this book an extremely useful resource. Please be aware
that this is not a beginner's guide; you'll need a solid
understanding of Power BI and experience working with datasets
before you dive in.
Because it continually implements entrepreneurial creativity and
innovative business models, the economic landscape is ever-changing
in today's globalized world. As consumers become more willing to
accept new strategic trends, this has led to the emergence of
disruptive technologies. Since this equipment has an insufficient
amount of information and high risks, it is necessary to assess the
potential of disruptive technologies in the commercial environment.
Impact of Disruptive Technologies on the Sharing Economy provides
emerging research exploring the theoretical and practical aspects
of disruptive technologies and knowledge-based entrepreneurial
efforts and applications within management, business, and
economics. Featuring coverage on a broad range of topics such as
consumer ethics, corporate governance, and insurance issues, this
book is ideally designed for IT specialists, IT consultants,
software developers, computer engineers, managers, executives,
managing directors, students, professors, scientists,
professionals, industry practitioners, academicians, and
researchers seeking current research on the consequences of
disruptive technologies.
Explore Kinesis managed services such as Kinesis Data Streams,
Kinesis Data Analytics, Kinesis Data Firehose, and Kinesis Video
Streams with the help of practical use cases Key Features Get well
versed with the capabilities of Amazon Kinesis Explore the
monitoring, scaling, security, and deployment patterns of various
Amazon Kinesis services Learn how other Amazon Web Services and
third-party applications such as Splunk can be used as destinations
for Kinesis data Book DescriptionAmazon Kinesis is a collection of
secure, serverless, durable, and highly available purpose-built
data streaming services. This data streaming service provides APIs
and client SDKs that enable you to produce and consume data at
scale. Scalable Data Streaming with Amazon Kinesis begins with a
quick overview of the core concepts of data streams, along with the
essentials of the AWS Kinesis landscape. You'll then explore the
requirements of the use case shown through the book to help you get
started and cover the key pain points encountered in the data
stream life cycle. As you advance, you'll get to grips with the
architectural components of Kinesis, understand how they are
configured to build data pipelines, and delve into the applications
that connect to them for consumption and processing. You'll also
build a Kinesis data pipeline from scratch and learn how to
implement and apply practical solutions. Moving on, you'll learn
how to configure Kinesis on a cloud platform. Finally, you'll learn
how other AWS services can be integrated into Kinesis. These
services include Redshift, Dynamo Database, AWS S3, Elastic Search,
and third-party applications such as Splunk. By the end of this AWS
book, you'll be able to build and deploy your own Kinesis data
pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose
(KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics
(KDA). What you will learn Get to grips with data streams,
decoupled design, and real-time stream processing Understand the
properties of KFH that differentiate it from other Kinesis services
Monitor and scale KDS using CloudWatch metrics Secure KDA with
identity and access management (IAM) Deploy KVS as infrastructure
as code (IaC) Integrate services such as Redshift, Dynamo Database,
and Splunk into Kinesis Who this book is forThis book is for
solutions architects, developers, system administrators, data
engineers, and data scientists looking to evaluate and choose the
most performant, secure, scalable, and cost-effective data
streaming technology to overcome their data ingestion and
processing challenges on AWS. Prior knowledge of cloud
architectures on AWS, data streaming technologies, and
architectures is expected.
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