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Books > Computing & IT > Computer software packages > Other software packages > Enterprise software > General
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.
Use TensorFlow Enterprise with other GCP services to improve the
speed and efficiency of machine learning pipelines for reliable and
stable enterprise-level deployment Key Features Build scalable,
seamless, and enterprise-ready cloud-based machine learning
applications using TensorFlow Enterprise Discover how to accelerate
the machine learning development life cycle using enterprise-grade
services Manage Google's cloud services to scale and optimize AI
models in production Book DescriptionTensorFlow as a machine
learning (ML) library has matured into a production-ready
ecosystem. This beginner's book uses practical examples to enable
you to build and deploy TensorFlow models using optimal settings
that ensure long-term support without having to worry about library
deprecation or being left behind when it comes to bug fixes or
workarounds. The book begins by showing you how to refine your
TensorFlow project and set it up for enterprise-level deployment.
You'll then learn how to choose a future-proof version of
TensorFlow. As you advance, you'll find out how to build and deploy
models in a robust and stable environment by following recommended
practices made available in TensorFlow Enterprise. This book also
teaches you how to manage your services better and enhance the
performance and reliability of your artificial intelligence (AI)
applications. You'll discover how to use various enterprise-ready
services to accelerate your ML and AI workflows on Google Cloud
Platform (GCP). Finally, you'll scale your ML models and handle
heavy workloads across CPUs, GPUs, and Cloud TPUs. By the end of
this TensorFlow book, you'll have learned the patterns needed for
TensorFlow Enterprise model development, data pipelines, training,
and deployment. What you will learn Discover how to set up a GCP
TensorFlow Enterprise cloud instance and environment Handle and
format raw data that can be consumed by the TensorFlow model
training process Develop ML models and leverage prebuilt models
using the TensorFlow Enterprise API Use distributed training
strategies and implement hyperparameter tuning to scale and improve
your model training experiments Scale the training process by using
GPU and TPU clusters Adopt the latest model optimization techniques
and deployment methodologies to improve model efficiency Who this
book is forThis book is for data scientists, machine learning
developers or engineers, and cloud practitioners who want to learn
and implement various services and features offered by TensorFlow
Enterprise from scratch. Basic knowledge of the machine learning
development process will be useful.
Get up to speed with the essential concepts and techniques
necessary to prepare for the Salesforce Platform App Builder
certification exam Key Features Prepare for the Salesforce Platform
App Builder certification exam by exploring important concepts and
expert tips and techniques Design the data model, user interface,
business logic, and security for custom apps Understand the key
milestones and considerations when managing an application
lifecycle Book DescriptionDo you want to be able to confidently
design and build apps that support business processes within the
Lightning Platform? Salesforce Platform App Builder Certification
Guide not only helps you to do this, but also prepares you for the
certification exam. The book starts by describing the core
capabilities of the Lightning Platform. You'll learn techniques for
data modeling to design, build, and deploy apps without writing
code and achieve rapid results with the declarative capabilities
that the Lightning Platform provides. Next, you'll explore
utilities for importing and exporting data and the features
available in the Lightning Platform to restrict and extend access
to objects, fields, and records. You'll also be able to customize
the Salesforce Lightning Experience user interface (UI) and build
functionality for custom buttons, links, and actions. Later, this
certification study guide will take you through reporting and the
social and mobile features of the Lightning Platform. Finally,
you'll get to grips with Salesforce build environments and
deployment options. By the end of this Salesforce book, you'll not
only have learned how to build data models, enforce data security,
and implement business logic and process automation, but also have
gained the confidence to pass the Platform App Builder exam and
achieve Salesforce certification. What you will learn Explore the
core features of the Lightning Platform Design and build an
appropriate data model for a given scenario Identify the Lightning
Platform's features and capabilities Customize the Salesforce
Lightning Experience UI Implement business logic and process
automation Identify the capabilities of declarative customization
Who this book is forThis book is for beginners and aspiring
developers who want to learn how to build apps on the Salesforce
Platform or pass the Salesforce Platform App Builder certification
exam. Salesforce administrators and existing Salesforce Lightning
Platform developers looking to learn more about the declarative,
non-programmatic app building capabilities of the Salesforce
Lightning Platform will also find this book useful.
Nature-Inspired Computing Paradigms in Systems: Reliability,
Availability, Maintainability, Safety and Cost (RAMS+C) and
Prognostics and Health Management (PHM) covers several areas that
include bioinspired techniques and optimization approaches for
system dependability. The book addresses the issue of integration
and interaction of the bioinspired techniques in system
dependability computing so that intelligent decisions, design, and
architectures can be supported. It brings together these emerging
areas under the umbrella of bio- and nature-inspired computational
intelligence. The primary audience of this book includes experts
and developers who want to deepen their understanding of
bioinspired computing in basic theory, algorithms, and
applications. The book is also intended to be used as a textbook
for masters and doctoral students who want to enhance their
knowledge and understanding of the role of bioinspired techniques
in system dependability.
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.
A practical recipe-based guide to extend your Dynamics 365 Finance
and Supply chain management implementation. Key Features Extend
Dynamics 365 Finance and Supply Chain Management features in a
cost-effective manner Learn how to integrate with other
applications and services securely using Business Events, OData and
the Service Bus Extend and hook into standard processes safely
using Chain of Command Book DescriptionDynamics 365 Finance and
Supply Chain Management is Microsoft's ERP solution, which can be
implemented as a cloud or on-premise solution to facilitate better
decision-making with the help of contemporary, scalable ERP system
tools. This book is updated with the latest features of Dynamics
365 Finance and Supply Chain Management including Chain of Command
(CoC), Acceptance Test Libraries (ATL), and Business Events. The
book not only features more than 100 tutorials that allow you to
create and extend business solutions, but also addresses specific
problems and offers solutions with insights into how they work.
This cookbook starts by helping you set up a Azure DevOps project
and taking you through the different data types and structures used
to create tables. You will then gain an understanding of user
interfaces, write extensible code, manage data entities, and even
model Dynamics 365 ERP for security. As you advance, you'll learn
how to work with various in-built Dynamics frameworks such as
SysOperation, SysTest, and Business Events. Finally, you'll get to
grips with automated build management and workflows for better
application state management. By the end of this book, you'll have
become proficient in packaging and deploying end-to-end scalable
solutions with Microsoft Dynamics 365 Finance and Supply Chain
Management. What you will learn Understand the importance of using
patterns and frameworks for creating unique solutions Write code
that can make your solution extendable Leverage new frameworks that
allow your solution to adapt as your business grows Design the UI
and business logic to fit standard patterns Understand how to not
only write unit tests, but also perform efficient unit testing to
automate the testing process Design your security model and
policies to provide code access privileges Who this book is forThis
Dynamics 365 book is for anyone who wants to learn Dynamics 365
Finance and Supply Chain Management development or migrate from C#
or Microsoft Dynamics AX 2012 (or prior) development. Although
finance and Supply Chain Management experience is not necessary, a
background in software development is required. You will also need
access to Microsoft's Lifecycle Services to download the necessary
development tools.
Implement business intelligence (BI), data modeling, and data
analytics within Microsoft products such as Power BI, SQL Server,
and Excel Key Features Understand the ins and outs of DAX
expressions and querying functions with the help of easy-to-follow
examples Manipulate data of varying complexity and optimize BI
workflows to extract key insights Create, monitor, and improve the
performance of models by writing clean and robust DAX queries Book
DescriptionData Analysis Expressions (DAX) is known for its ability
to increase efficiency by extracting new information from data that
is already present in your model. With this book, you'll learn to
use DAX's functionality and flexibility in the BI and data
analytics domains. You'll start by learning the basics of DAX,
along with understanding the importance of good data models, and
how to write efficient DAX formulas by using variables and
formatting styles. You'll then explore how DAX queries work with
the help of examples. The book will guide you through optimizing
the BI workflow by writing powerful DAX queries. Next, you'll learn
to manipulate and load data of varying complexity within Microsoft
products such as Power BI, SQL Server, and Excel Power Pivot.
You'll then discover how to build and extend your data models to
gain additional insights, before covering progressive DAX syntax
and functions to understand complex relationships in DAX. Later,
you'll focus on important DAX functions, specifically those related
to tables, date and time, filtering, and statistics. Finally,
you'll delve into advanced topics such as how the formula and
storage engines work to optimize queries. By the end of this book,
you'll have gained hands-on experience in employing DAX to enhance
your data models by extracting new information and gaining deeper
insights. What you will learn Understand DAX, from the basics
through to advanced topics, and learn to build effective data
models Write and use DAX functions and expressions with the help of
hands-on examples Discover how to handle errors in your DAX code,
and avoid unwanted results Load data into a data model using Power
BI, Excel Power Pivot, and SSAS Tabular Cover DAX functions such as
date, time, and time intelligence using code examples Gain insights
into data by using DAX to create new information Understand the DAX
VertiPaq engine and how it can help you optimize data models Who
this book is forThis book is for data analysts, business analysts,
BI developers, or SQL users who want to make the best use of DAX in
the BI and data analytics domain with the help of examples. Some
understanding of BI concepts is mandatory to fully understand the
concepts covered in the book.
Find our new updated edition to get the latest industry knowledge
at your disposal Book DescriptionMicrosoft Power Apps Cookbook is a
complete resource filled with meticulously crafted recipes to help
you build customized business apps that meet ever-changing
enterprise demands. You will learn how to design modern apps with
the low-code approach in a rapid application development
environment by achieving enterprise-wide business agility. Who this
book is forThis book is for citizen developers and business users
looking to build custom applications as per their organizational
needs without depending on professional developers. Traditional app
developers will also find this book useful by discovering how to
build applications in a rapid application development environment
with increased productivity and speed. The book is recommended for
Power Apps beginners who have taken a couple of online tutorials
but are struggling to implement or create real-world solutions.
Basic knowledge of Power Apps is necessary to get the best out of
this cookbook.
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