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Books > Computing & IT > Computer software packages > Other software packages > Enterprise software > General
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.
Proceedings of the 2019 International Conference on e-Learning,
e-Business, Enterprise Information Systems, and e-Government
(EEE'19) held July 29th - August 1st, 2019 in Las Vegas, Nevada.
Efficiently manage and administer enterprise environments using
Microsoft Windows Server 2019 Key Features Leverage Windows Server
2019 to improve enterprise workflow efficiency and increase
productivity Deliver enterprise-grade cloud services that can be
applied in your infrastructure Get up and running with PowerShell
and the all-new Hyper-V improvements Book DescriptionDo you want to
get up and running with essential administrative tasks in Windows
Server 2019? This second edition of the Windows Server 2019
Cookbook is packed with practical recipes that will help you do
just that. The book starts by taking you through the basics that
you need to know to get a Windows Server operating system working,
before teaching you how to navigate through daily tasks using the
upgraded graphical user interface (GUI). You'll then learn how to
compose an optimal Group Policy and perform task automation with
PowerShell scripting. As you advance, you'll get to grips with
faster app innovation, improved Windows security measures, and
hybrid cloud environments. After you've explored the functions
available to provide remote network access to your users, you'll
cover the new Hyper-V enhancements. Finally, this Windows Server
book will guide you through practical recipes relating to Azure
integration and important tips for how to manage a Windows Server
environment seamlessly. By the end of this book, you'll be
well-versed with Windows Server 2019 essentials and have the skills
you need to configure Windows services and implement best practices
for securing a Windows Server environment. What you will learn Get
up and running with Windows Server 2019's new features Install,
configure, and administer Windows Server 2019 effectively Configure
the server to host any enterprise application Discover ways to
manage a server without a GUI Safeguard your virtual machines in
the event of server failure Explore new ways to integrate Windows
Server with Microsoft Azure Deploy Windows containers using Docker
Who this book is forThis Windows Server 2019 book is for system
administrators and IT professionals who have basic experience in
Windows environments and are interested in acquiring the skills and
knowledge needed to manage and maintain the core infrastructure
required for a Windows Server 2019 environment.
An accessible fast paced introduction to all aspects of Power BI
for new or aspiring BI professionals, data analysts, and data
visualizers. Purchase of the print or Kindle book includes a free
eBook in the PDF format. Key Features Updated with the latest
features in Power BI including Dataflow, AI insights, visuals and
row level security Get faster and more intuitive data insights
using Microsoft Power BI and its business intelligence capabilities
Build accurate analytical models, reports, and dashboards Book
DescriptionThis revised edition has been fully updated to reflect
the latest enhancements to Power BI. It includes a new chapter
dedicated to dataflow, and covers all the essential concepts such
as installation, designing effective data models, as well as
building basic dashboards and visualizations to help you and your
organization make better business decisions. You'll learn how to
obtain data from a variety of sources and clean it using Power BI
Query Editor. You'll then find out how you can design your data
model to navigate and explore relationships within it and build DAX
formulas to make your data easier to work with. Visualizing your
data is a key element in this book, and you'll get to grips rapidly
with data visualization styles and enhanced digital storytelling
techniques. In addition, you will acquire the skills to build your
own dataflows, understand the Common Data Model, and automate data
flow refreshes to eradicate data cleansing inefficiency. This guide
will help you understand how to administer your organization's
Power BI environment so that deployment can be made seamless, data
refreshes can run properly, and security can be fully implemented.
By the end of this Power BI book, you'll have a better
understanding of how to get the most out of Power BI to perform
effective business intelligence. What you will learn Connect to
data sources using import and DirectQuery options Use Query Editor
for data transformation and data cleansing processes, including
writing M and R scripts and dataflows to do the same in the cloud
Design optimized data models by designing relationships and DAX
calculations Design effective reports with built-in and custom
visuals Adopt Power BI Desktop and Service to implement row-level
security Administer a Power BI cloud tenant for your organization
Use built-in AI capabilities to enhance Power BI data
transformation techniques Deploy your Power BI desktop files into
the Power BI Report Server Who this book is forAspiring business
intelligence professionals who want to learn Power BI will find
this book useful. If you have a basic understanding of BI concepts
and want to learn how to apply them using Microsoft Power BI, this
book is for you.
Secure your container environment against cyberattacks and deliver
robust deployments with this practical guide Key Features Explore a
variety of Kubernetes components that help you to prevent
cyberattacks Perform effective resource management and monitoring
with Prometheus and built-in Kubernetes tools Learn techniques to
prevent attackers from compromising applications and accessing
resources for crypto-coin mining Book DescriptionKubernetes is an
open source orchestration platform for managing containerized
applications. Despite widespread adoption of the technology, DevOps
engineers might be unaware of the pitfalls of containerized
environments. With this comprehensive book, you'll learn how to use
the different security integrations available on the Kubernetes
platform to safeguard your deployments in a variety of scenarios.
Learn Kubernetes Security starts by taking you through the
Kubernetes architecture and the networking model. You'll then learn
about the Kubernetes threat model and get to grips with securing
clusters. Throughout the book, you'll cover various security
aspects such as authentication, authorization, image scanning, and
resource monitoring. As you advance, you'll learn about securing
cluster components (the kube-apiserver, CoreDNS, and kubelet) and
pods (hardening image, security context, and PodSecurityPolicy).
With the help of hands-on examples, you'll also learn how to use
open source tools such as Anchore, Prometheus, OPA, and Falco to
protect your deployments. By the end of this Kubernetes book,
you'll have gained a solid understanding of container security and
be able to protect your clusters from cyberattacks and mitigate
cybersecurity threats. What you will learn Understand the basics of
Kubernetes architecture and networking Gain insights into different
security integrations provided by the Kubernetes platform Delve
into Kubernetes' threat modeling and security domains Explore
different security configurations from a variety of practical
examples Get to grips with using and deploying open source tools to
protect your deployments Discover techniques to mitigate or prevent
known Kubernetes hacks Who this book is forThis book is for
security consultants, cloud administrators, system administrators,
and DevOps engineers interested in securing their container
deployments. If you're looking to secure your Kubernetes clusters
and cloud-based deployments, you'll find this book useful. A basic
understanding of cloud computing and containerization is necessary
to make the most of this book.
Build scalable and production-ready infrastructure in Amazon Web
Services with CloudFormation Key Features Leverage AWS
CloudFormation templates to manage your entire infrastructure Get
up and running with writing your infrastructure as code and
automating your environment Simplify infrastructure management and
increase productivity with AWS CloudFormation Book
DescriptionDevOps and the cloud revolution have forced software
engineers and operations teams to rethink how to manage
infrastructures. With this AWS book, you'll understand how you can
use Infrastructure as Code (IaC) to simplify IT operations and
manage the modern cloud infrastructure effectively with AWS
CloudFormation. This comprehensive guide will help you explore AWS
CloudFormation from template structures through to developing
complex and reusable infrastructure stacks. You'll then delve into
validating templates, deploying stacks, and handling deployment
failures. The book will also show you how to leverage AWS CodeBuild
and CodePipeline to automate resource delivery and apply continuous
integration and continuous delivery (CI/CD) practices to the stack.
As you advance, you'll learn how to generate templates on the fly
using macros and create resources outside AWS with custom
resources. Finally, you'll improve the way you manage the modern
cloud in AWS by extending CloudFormation using AWS serverless
application model (SAM) and AWS cloud development kit (CDK). By the
end of this book, you'll have mastered all the major AWS
CloudFormation concepts and be able to simplify infrastructure
management. What you will learn Understand modern approaches to IaC
Develop universal and reusable CloudFormation templates Discover
ways to apply continuous delivery with CloudFormation Implement IaC
best practices for the AWS Cloud Provision massive applications
across multiple regions and accounts Automate template generation
and software provisioning for AWS Extend CloudFormation with custom
resources and template macros Who this book is forIf you are a
developer who wants to learn how to write templates, a DevOps
engineer interested in deployment and orchestration, or a solutions
architect looking to understand the benefits of managing
infrastructure with ease, this book is for you. Prior understanding
of the AWS Cloud is necessary.
Enhance your Azure administration and Azure DevOps skills and get
up and running with networking, security, automation, and effective
cost management Key Features Explore a variety of administration
patterns used for different cloud architectures Discover best
practices for administering various IT systems hosted in Azure
Administer, automate, and manage your Azure cloud environment
effectively Book DescriptionMicrosoft Azure is one of the upcoming
cloud platforms that provide cost-effective solutions and services
to help businesses overcome complex infrastructure-related
challenges. This book will help you scale your cloud administration
skills with Microsoft Azure. Learn Azure Administration starts with
an introduction to the management of Azure subscriptions, and then
takes you through Azure resource management. Next, you'll configure
and manage virtual networks and find out how to integrate them with
a set of Azure services. You'll then handle the identity and
security for users with the help of Azure Active Directory, and
manage access from a single place using policies and defined roles.
As you advance, you'll get to grips with receipts to manage a
virtual machine. The next set of chapters will teach you how to
solve advanced problems such as DDoS protection, load balancing,
and networking for containers. You'll also learn how to set up file
servers, along with managing and storing backups. Later, you'll
review monitoring solutions and backup plans for a host of
services. The last set of chapters will help you to integrate
different services with Azure Event Grid, Azure Automation, and
Azure Logic Apps, and teach you how to manage Azure DevOps. By the
end of this Azure book, you'll be proficient enough to easily
administer your Azure-based cloud environment. What you will learn
Explore different Azure services and understand the correlation
between them Secure and integrate different Azure components Work
with a variety of identity and access management (IAM) models Find
out how to set up monitoring and logging solutions Build a complete
skill set of Azure administration activities with Azure DevOps
Discover efficient scaling patterns for small and large workloads
Who this book is forThis book is for cloud administrators, system
administrators, and IT professionals who want to scale up their
skillset and enter the world of cloud computing. IT professionals
and engineers who are already familiar with the basics of the Azure
services and are looking for a step-by-step guide to solving the
most common Azure problems will also find this book useful. Basic
understanding of cloud concepts such as IaaS, PaaS, virtualization,
networking, and common Azure services is required.
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