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Books > Computing & IT > Computer software packages > Other software packages > Enterprise software
Explore the latest features of Dynamics 365 and Power Platform's
out-of-the-box tools to build custom business solutions for your
organization Key Features Discover impressive Dynamics 365 features
to transform your business and increase productivity Leverage the
platform's extensibility to meet your organizational needs
Understand how Power Platform powers Dynamics 365 and enhances its
integration capabilities Book DescriptionMicrosoft Dynamics 365
provides a vast array of tools and applications to meet various
Customer Engagement requirements. This Customer Relationship
Management (CRM) guide covers the latest advancements in Dynamics
365 and Power Platform that help organizations adapt to changing
market conditions for agility and resilience. With this book,
you'll explore the core platform functionality of Dynamics 365 and
explore its wide range of components for transforming your business
with new services and capabilities. You'll learn the basics of
configuration and customization to enhance the functionality of
Microsoft Dynamics 365 CRM and create solutions and custom
applications by leveraging features such as apps, portals,
automation, and business intelligence. As you advance, you'll
understand how Power Platform drives Dynamics 365 and how various
integration capabilities add value by providing a comprehensive
view of data aggregated across different systems and data sources.
Finally, you'll delve into core administration concepts that will
help you to manage extensions added to the platform. By the end of
this book, you'll have learned how to tailor Microsoft Dynamics 365
to fit your organization's requirements and tweak the platform to
meet your business needs. What you will learn Get to grips with
Power Platform for building and enhancing Dynamics 365 apps
Integrate Dynamics 365 CRM with Microsoft 365, Azure, and other
platforms Discover how you can customize existing entities and
create new ones Explore various security features and grant users
access to CRM data and functions Find out which CRM attributes are
used to automate operations with programming Use internal and
external social data to help users to make informed decisions Who
this book is forThis book is for customers and project
stakeholders, new functional consultants, business administration
users, and project managers looking to get up and running with the
latest features of Dynamics 365 and Power Platform. This guide will
help non-developers become acquainted with a no-code approach to
customization and configuration. A basic understanding of
relational data and customer management concepts will help you get
the most out of this book.
Over 70 recipes to effectively apply DevOps best practices and
implement Agile, Git, CI-CD & Test automation using Azure
DevOps Server (TFS) 2019 Key Features Learn improving code quality
using pull requests, branch policies, githooks and git branching
design Accelerate the deployment of high quality software by
automating build and releases using CI-CD Pipelines. Learn tried
and tested techniques to automate database deployments, App Service
& Function Deployments in Azure. Book DescriptionAzure DevOps
Server, previously known as Team Foundation Server (TFS), is a
comprehensive on-premise DevOps toolset with a rich ecosystem of
open source plugins. This book is your one stop guide to learn how
to effectively use all of these Azure DevOps services to go from
zero to DevOps. You will start by building high-quality scalable
software targeting .NET, .NET core or Node.js applications. You
will learn techniques that will help you to set up end-to-end
traceability of your code changes from design through to release.
Whether you are deploying software on-premise or in the cloud in
App Service, Functions, or Azure VMs, this book will help you learn
release management techniques to reduce release failures. Next, you
will be able to secure application configuration by using Azure
KeyVault. You will also learn how to create and release extensions
to the Azure DevOps marketplace and reach million developer
ecosystem for feedback. The working extension samples will allow
you to iterate changes in your extensions easily and release
updates to the marketplace quickly. By the end of this book,
techniques provided in the book will help you break down the
invisible silos between your software development teams. This will
transform you from being a good software development team to an
elite modern cross functional software development team. What you
will learn Set up a team project for an Agile delivery team,
importing requirements from Excel Plan,track, and monitor progress
using self updating boards, Sprint and Kanban boards Unlock the
features of Git by using branch policies, Git pull requests, forks,
and Git hooks Build and release .NET core, SQL and Node.js
applications using Azure Pipeline Automate testing by integrating
Microsoft and open source testing frameworks Extend Azure DevOps
Server to a million developer ecosystem Who this book is forThis
book is for anyone looking to succeed with DevOps. The techniques
in this book apply to all roles of the software development
lifecycle including developers, testers, architects, configuration
analysts, site reliability engineers and release managers. If you
are a new user you'll learn how to get started; if you are an
experienced user you'll learn how to launch your project into a
modern and mature DevOps enabled software development team.
Get to grips with the advanced features of Apex programming for
Salesforce developers using this comprehensive guide Key Features
Discover how to build reliable applications with Apex by avoiding
common mistakes and pitfalls Learn how to use the different
asynchronous programming tools in Apex Profile and improve the
performance of your Apex code Book DescriptionAs applications built
on the Salesforce platform are now a key part of many
organizations, developers are shifting focus to Apex, Salesforce's
proprietary programming language. As a Salesforce developer, it is
important to understand the range of tools at your disposal, how
and when to use them, and best practices for working with Apex.
Mastering Apex Programming will help you explore the advanced
features of Apex programming and guide you in delivering robust
solutions that scale. This book starts by taking you through common
Apex mistakes, debugging, exception handling, and testing. You'll
then discover different asynchronous Apex programming options and
develop custom Apex REST web services. The book shows you how to
define and utilize Batch Apex, Queueable Apex, and Scheduled Apex
using common scenarios before teaching you how to define, publish,
and consume platform events and RESTful endpoints with Apex.
Finally, you'll learn how to profile and improve the performance of
your Apex application, including architecture trade-offs. With code
examples used to facilitate discussion throughout, by the end of
the book, you'll have developed the skills needed to build robust
and scalable applications in Apex. What you will learn Understand
common coding mistakes in Apex and how to avoid them using best
practices Find out how to debug a Salesforce Apex application
effectively Explore different asynchronous Apex options and their
common use cases Discover tips to work effectively with platform
events Develop custom Apex REST services to allow inbound
integrations Build complex logic and processes on the Salesforce
platform Who this book is forThis book is for Salesforce developers
who are interested in mastering Apex programming skills. You'll
also find this book helpful if you're an experienced Java or C#
developer looking to switch to Apex programming for developing apps
on the Salesforce platform. Basic Apex programming knowledge is
essential to understand the concepts covered.
Quickly build and deploy machine learning models without managing
infrastructure, and improve productivity using Amazon SageMaker's
capabilities such as Amazon SageMaker Studio, Autopilot,
Experiments, Debugger, and Model Monitor Key Features Build, train,
and deploy machine learning models quickly using Amazon SageMaker
Analyze, detect, and receive alerts relating to various business
problems using machine learning algorithms and techniques Improve
productivity by training and fine-tuning machine learning models in
production Book DescriptionAmazon SageMaker enables you to quickly
build, train, and deploy machine learning (ML) models at scale,
without managing any infrastructure. It helps you focus on the ML
problem at hand and deploy high-quality models by removing the
heavy lifting typically involved in each step of the ML process.
This book is a comprehensive guide for data scientists and ML
developers who want to learn the ins and outs of Amazon SageMaker.
You'll understand how to use various modules of SageMaker as a
single toolset to solve the challenges faced in ML. As you
progress, you'll cover features such as AutoML, built-in algorithms
and frameworks, and the option for writing your own code and
algorithms to build ML models. Later, the book will show you how to
integrate Amazon SageMaker with popular deep learning libraries
such as TensorFlow and PyTorch to increase the capabilities of
existing models. You'll also learn to get the models to production
faster with minimum effort and at a lower cost. Finally, you'll
explore how to use Amazon SageMaker Debugger to analyze, detect,
and highlight problems to understand the current model state and
improve model accuracy. By the end of this Amazon book, you'll be
able to use Amazon SageMaker on the full spectrum of ML workflows,
from experimentation, training, and monitoring to scaling,
deployment, and automation. What you will learn Create and automate
end-to-end machine learning workflows on Amazon Web Services (AWS)
Become well-versed with data annotation and preparation techniques
Use AutoML features to build and train machine learning models with
AutoPilot Create models using built-in algorithms and frameworks
and your own code Train computer vision and NLP models using
real-world examples Cover training techniques for scaling, model
optimization, model debugging, and cost optimization Automate
deployment tasks in a variety of configurations using SDK and
several automation tools Who this book is forThis book is for
software engineers, machine learning developers, data scientists,
and AWS users who are new to using Amazon SageMaker and want to
build high-quality machine learning models without worrying about
infrastructure. Knowledge of AWS basics is required to grasp the
concepts covered in this book more effectively. Some understanding
of machine learning concepts and the Python programming language
will also be beneficial.
Create innovative informatics solutions with TIBCO Spotfire Key
Features Get to grips with a variety of TIBCO Spotfire features to
create professional applications Use different data and
visualization techniques to build interactive analyses. Simplify BI
processes and understand data analysis and visualization Book
DescriptionThe need for agile business intelligence (BI) is growing
daily, and TIBCO Spotfire (R) combines self-service features with
essential enterprise governance and scaling capabilities to provide
best-practice analytics solutions. Spotfire is easy and intuitive
to use and is a rewarding environment for all BI users and
analytics developers. Starting with data and visualization
concepts, this book takes you on a journey through increasingly
advanced topics to help you work toward becoming a professional
analytics solution provider. Examples of analyzing real-world data
are used to illustrate how to work with Spotfire. Once you've
covered the AI-driven recommendations engine, you'll move on to
understanding Spotfire's rich suite of visualizations and when, why
and how you should use each of them. In later chapters, you'll work
with location analytics, advanced analytics using TIBCO Enterprise
Runtime for R (R), how to decide whether to use in-database or
in-memory analytics, and how to work with streaming (live) data in
Spotfire. You'll also explore key product integrations that
significantly enhance Spotfire's capabilities.This book will enable
you to exploit the advantages of the Spotfire serve topology and
learn how to make practical use of scheduling and routing rules. By
the end of this book, you will have learned how to build and use
powerful analytics dashboards and applications, perform spatial
analytics, and be able to administer your Spotfire environment
efficiently What you will learn Work with Spotfire on its web,
Cloud, PC, Mac and mobile clients Deploy Spotfire's suite of
visualization types effectively and intelligently Build
user-friendly analytics frameworks and analytics applications
Explore Spotfire's predictive analytics capabilities Use Spotfire's
location analytics capabilities to create interactive spatial
analyses Write IronPython scripts with the Spotfire API Learn the
different ways Spotfire can be deployed and administered Who this
book is forIf you are a business intelligence or data professional,
this book will give you a solid grounding in the use of TIBCO
Spotfire. This book requires no prior knowledge of Spotfire or any
basic data and visualization concepts.
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