Complete Guide to Human Resources and the Law, 2021 Edition PDF Download
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Author: Dana Shilling
Publisher: Wolters Kluwer
ISBN: 1543817866
Category : Business & Economics
Languages : en
Pages : 1890
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Book Description
The Complete Guide to Human Resources and the Law will help you navigate complex and potentially costly Human Resources issues. You'll know what to do (and what not to do) to avoid costly mistakes or oversights, confront HR problems - legally and effectively - and understand the rules. The Complete Guide to Human Resources and the Law offers fast, dependable, plain English legal guidance for HR-related situations from ADA accommodation, diversity training, and privacy issues to hiring and termination, employee benefit plans, compensation, and recordkeeping. It brings you the most up-to-date information as well as practical tips and checklists in a well-organized, easy-to-use resource.
Author: Dana Shilling
Publisher: Wolters Kluwer
ISBN: 1543817866
Category : Business & Economics
Languages : en
Pages : 1890
Get Book Here
Book Description
The Complete Guide to Human Resources and the Law will help you navigate complex and potentially costly Human Resources issues. You'll know what to do (and what not to do) to avoid costly mistakes or oversights, confront HR problems - legally and effectively - and understand the rules. The Complete Guide to Human Resources and the Law offers fast, dependable, plain English legal guidance for HR-related situations from ADA accommodation, diversity training, and privacy issues to hiring and termination, employee benefit plans, compensation, and recordkeeping. It brings you the most up-to-date information as well as practical tips and checklists in a well-organized, easy-to-use resource.
Author: Bill White
Publisher: IBM Redbooks
ISBN: 0738460222
Category : Computers
Languages : en
Pages : 274
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Book Description
This IBM® Redpaper Redbooks® publication provides a broad explanation of data protection through encryption and IBM Z® pervasive encryption with a focus on IBM z/OS® data set encryption. It describes how the various hardware and software components interact in a z/OS data set encryption environment. In addition, this book concentrates on the planning and preparing of the environment and offers implementation, configuration, and operational examples that can be used in z/OS data set encryption environments. This publication is intended for IT architects, system programmer, and security administrators who plan for, deploy, and manage security on the Z platform. The reader is expected to have a basic understanding of IBM Z security concepts.
Author: Jayant Sharma
Publisher: BPB Publications
ISBN: 9389898811
Category : Computers
Languages : en
Pages : 827
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Book Description
With Azure security, you can build a prosperous career in IT security. KEY FEATURES ● In-detail practical steps to fully grasp Azure Security concepts. ● Wide coverage of Azure Architecture, Azure Security services, and Azure Security implementation techniques. ● Covers multiple topics from other Azure certifications (AZ-303, AZ-304, and SC series). DESCRIPTION ‘Microsoft Azure Security Technologies (AZ-500) - A Certification Guide’ is a certification guide that helps IT professionals to start their careers as Azure Security Specialists by clearing the AZ-500 certification and proving their knowledge of Azure security services. Authored by an Azure security professional, this book takes readers through a series of steps to gain a deeper insight into Azure security services. This book will help readers to understand key concepts of the Azure AD architecture and various methods of hybrid authentication. It will help readers to use Azure AD security solutions like Azure MFA, Conditional Access, and PIM. It will help readers to maintain various industry standards for an Azure environment through Azure Policies and Azure Blueprints. This book will also help to build a secure Azure network using Azure VPN, Azure Firewall, Azure Front Door, Azure WAF, and other services. It will provide readers with a clear understanding of various security services, including Azure Key vault, Update management, Microsoft Endpoint Protection, Azure Security Center, and Azure Sentinel in detail. This book will facilitate the improvement of readers' abilities with Azure Security services to sprint to a rewarding career. WHAT YOU WILL LEARN ● Configuring secure authentication and authorization for Azure AD identities. ● Advanced security configuration for Azure compute and network services. ● Hosting and authorizing secure applications in Azure. ● Best practices to secure Azure SQL and storage services. ● Monitoring Azure services through Azure monitor, security center, and Sentinel. ● Designing and maintaining a secure Azure IT infrastructure. WHO THIS BOOK IS FOR This book is for security engineers who want to enhance their career growth in implementing security controls, maintaining the security posture, managing identity and access, and protecting data, applications, and networks of Microsoft Azure. Intermediate-level knowledge of Azure terminology, concepts, networking, storage, and virtualization is required. TABLE OF CONTENTS 1. Managing Azure AD Identities and Application Access 2. Configuring Secure Access by Using Azure Active Directory 3. Managing Azure Access Control 4. Implementing Advance Network Security 5. Configuring Advance Security for Compute 6. Configuring Container Security 7. Monitoring Security by Using Azure Monitor 8. Monitoring Security by Using Azure Security Center 9. Monitoring Security by Using Azure Sentinel 10. Configuring Security for Azure Storage 11. Configuring Security for Azure SQL Databases
Author: Evren Eryurek
Publisher: "O'Reilly Media, Inc."
ISBN: 1492063444
Category : Computers
Languages : en
Pages : 254
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Book Description
As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance requirements. Data governance incorporates the ways people, processes, and technology work together to ensure data is trustworthy and can be used effectively. This practical guide shows you how to effectively implement and scale data governance throughout your organization. Chief information, data, and security officers and their teams will learn strategy and tooling to support democratizing data and unlocking its value while enforcing security, privacy, and other governance standards. Through good data governance, you can inspire customer trust, enable your organization to identify business efficiencies, generate more competitive offerings, and improve customer experience. This book shows you how. You'll learn: Data governance strategies addressing people, processes, and tools Benefits and challenges of a cloud-based data governance approach How data governance is conducted from ingest to preparation and use How to handle the ongoing improvement of data quality Challenges and techniques in governing streaming data Data protection for authentication, security, backup, and monitoring How to build a data culture in your organization
Author: Gwen Shapira
Publisher: "O'Reilly Media, Inc."
ISBN: 1492043036
Category : Computers
Languages : en
Pages : 499
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Book Description
Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: Best practices for deploying and configuring Kafka Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems
Author: Evren Eryurek
Publisher:
ISBN: 9781492063490
Category :
Languages : en
Pages : 300
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Book Description
As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness
Author: Somanath Nanda
Publisher: Packt Publishing Ltd
ISBN: 1800568436
Category : Computers
Languages : en
Pages : 338
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Book Description
Prepare to achieve AWS Machine Learning Specialty certification with this complete, up-to-date guide and take the exam with confidence Key Features Get to grips with core machine learning algorithms along with AWS implementation Build model training and inference pipelines and deploy machine learning models to the Amazon Web Services (AWS) cloud Learn all about the AWS services available for machine learning in order to pass the MLS-C01 exam Book DescriptionThe AWS Certified Machine Learning Specialty exam tests your competency to perform machine learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine learning projects on AWS. Starting with an introduction to machine learning on AWS, you'll learn the fundamentals of machine learning and explore important AWS services for artificial intelligence (AI). You'll then see how to prepare data for machine learning and discover a wide variety of techniques for data manipulation and transformation for different types of variables. The book also shows you how to handle missing data and outliers and takes you through various machine learning tasks such as classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, along with the specific ML algorithms you need to know to pass the exam. Finally, you'll explore model evaluation, optimization, and deployment and get to grips with deploying models in a production environment and monitoring them. By the end of this book, you'll have gained knowledge of the key challenges in machine learning and the solutions that AWS has released for each of them, along with the tools, methods, and techniques commonly used in each domain of AWS ML.What you will learn Understand all four domains covered in the exam, along with types of questions, exam duration, and scoring Become well-versed with machine learning terminologies, methodologies, frameworks, and the different AWS services for machine learning Get to grips with data preparation and using AWS services for batch and real-time data processing Explore the built-in machine learning algorithms in AWS and build and deploy your own models Evaluate machine learning models and tune hyperparameters Deploy machine learning models with the AWS infrastructure Who this book is for This AWS book is for professionals and students who want to prepare for and pass the AWS Certified Machine Learning Specialty exam or gain deeper knowledge of machine learning with a special focus on AWS. Beginner-level knowledge of machine learning and AWS services is necessary before getting started with this book.
Author: Matt Fuller
Publisher: "O'Reilly Media, Inc."
ISBN: 1098107667
Category : Computers
Languages : en
Pages : 310
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Book Description
Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. With this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's Hive, Cassandra, a relational database, or a proprietary data store. Analysts, software engineers, and production engineers will learn how to manage, use, and even develop with Trino. Initially developed by Facebook, open source Trino is now used by Netflix, Airbnb, LinkedIn, Twitter, Uber, and many other companies. Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization. Get started: Explore Trino's use cases and learn about tools that will help you connect to Trino and query data Go deeper: Learn Trino's internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more Put Trino in production: Secure Trino, monitor workloads, tune queries, and connect more applications; learn how other organizations apply Trino
Author: Dr. Prakash Arumugam
Publisher: Inkbound Publishers
ISBN: 8196822308
Category : Computers
Languages : en
Pages : 291
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Book Description
Embark on an extraordinary journey through the cutting-edge world of artificial intelligence with The Algorithmic Odyssey. This comprehensive guide serves as both a map and a compass for navigating the complex and rapidly evolving landscape of AI research. From the foundational principles of machine learning to the latest advancements in neural networks, this book offers a detailed exploration of the algorithms that are reshaping our world. Whether you are a seasoned researcher, a curious student, or a tech enthusiast, The Algorithmic Odyssey provides invaluable insights into the methodologies, challenges, and breakthroughs that define contemporary AI research. Discover the intricacies of supervised and unsupervised learning, delve into the depths of deep learning, and understand the transformative impact of reinforcement learning. Each chapter is meticulously crafted to offer clear explanations, practical examples, and thought-provoking discussions, making complex concepts accessible without sacrificing depth. Beyond the technicalities, The Algorithmic Odyssey also addresses the ethical, societal, and philosophical implications of AI. What does it mean to create intelligent systems? How do we ensure that these technologies benefit humanity? These questions and more are explored with rigor and sensitivity, encouraging readers to think critically about the future of AI. With contributions from leading experts in the field and a wealth of resources for further study, The Algorithmic Odyssey is an essential addition to the library of anyone passionate about the future of technology and its impact on our world. Join us on this odyssey and unlock the mysteries of artificial intelligence.
Author: Evren Eryurek
Publisher: "O'Reilly Media, Inc."
ISBN: 1492063460
Category : Business & Economics
Languages : en
Pages : 254
Get Book Here
Book Description
As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness.
