Microsoft Forefront Identity Manager 2010 R2 Handbook. This is the only reference you need to implement and manage Microsoft Forefront Identity Manager in your business. Takes you from design to configuration in logical steps, and even covers basic Certificate Management and troubleshooting

Kent Nordstrom, Kent Nordstr?É?íÂ!?m

Microsoft's Forefront Identity Manager simplifies enterprise identity management for end users by automating admin tasks and integrating the infrastructure of an enterprise with strong authentication systems.The Microsoft Forefront Identity Manager 2010 R2 Handbook is an in-depth guide to Identity Management. You will learn how to manage users and groups and implement self-service parts. This book also covers basic Certificate Management and troubleshooting.Throughout the book we will follow a fictional case study. You will see how to implement IM and also set up Smart Card logon for strong administrative accounts within Active Directory. You will learn to implement all the features of FIM 2010 R2. You will see how to install a complete FIM 2010 R2 infrastructure including both test and production environment. You will be introduced to Self-Service management of both users and groups. FIM Reports to audit the identity management lifecycle are also discussed in detail.With the Microsoft Forefront Identity Manager 2010 R2 Handbook you will be able implement and manage FIM 2010 R2 almost effortlessly.

The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition

Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar

While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined.If you’re a beginner, then The Data Wrangling Workshop will help to break down the process for you. You’ll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques.This book starts by showing you how to work with data structures using Python. Through examples and activities, you’ll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you’ll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool.By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources.

Mastering PostgreSQL 15. Advanced techniques to build and manage scalable, reliable, and fault-tolerant database applications - Fifth Edition

Hans-Jürgen Schönig

Starting with an introduction to the newly released features of PostgreSQL 15, this updated fifth edition will help you get to grips with PostgreSQL administration and how to build dynamic database solutions for enterprise apps, including designing both physical and technical aspects of the system.You'll explore advanced PostgreSQL features, such as logical replication, database clusters, advanced indexing, and user management to manage and maintain your database. You'll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. Among the other skills that the book will help you build, you’ll cover transactions, handling recursions, working with JSON and JSONB data, and setting up a Patroni cluster. It will show you how to improve performance with query optimization. You'll also focus on managing network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases.By the end of this PostgreSQL book, you’ll be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.

vSphere Virtual Machine Management. This tutorial will help VMware administrators fine-tune and expand their expertise with vSphere. From creating and configuring virtual machines to optimizing performance, it’s all here in a crystal clear series of chapters

Rebecca Fitzhugh

R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

Dipanjan Sarkar, Raghav Bali

Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages, and an active developer community, R empowers users to build sophisticated machine learning systems to solve real-world data problems.This book takes you on a data-driven journey that starts with the very basics of R and machine learning and gradually builds upon the concepts to work on projects that tackle real-world problems.You’ll begin by getting an understanding of the core concepts and definitions required to appreciate machine learning algorithms and concepts. Building upon the basics, you will then work on three different projects to apply the concepts of machine learning, following current trends and cover major algorithms as well as popular R packages in detail. These projects have been neatly divided into six different chapters covering the worlds of e-commerce, finance, and social-media, which are at the very core of this data-driven revolution. Each of the projects will help you to understand, explore, visualize, and derive insights depending upon the domain and algorithms.Through this book, you will learn to apply the concepts of machine learning to deal with data-related problems and solve them using the powerful yet simple language, R.

Python Web Penetration Testing Cookbook. Over 60 indispensable Python recipes to ensure you always have the right code on hand for web application testing

Benjamin May, Cameron Buchanan, Andrew Mabbitt, Dave Mound, ...

Learning Go Programming. Click here to enter text

Vladimir Vivien, Parth Desai

The Go programming language has firmly established itself as a favorite for building complex and scalable system applications. Go offers a direct and practical approach to programming that let programmers write correct and predictable code using concurrency idioms and a full-featured standard library.This is a step-by-step, practical guide full of real world examples to help you get started with Go in no time at all. We start off by understanding the fundamentals of Go, followed by a detailed description of the Go data types, program structures and Maps. After this, you learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior. Next, you will be familiarized with the tools and libraries that are available in Go for writing and exercising tests, benchmarking, and code coverage. Finally, you will be able to utilize some of the most important features of GO such as, Network Programming and OS integration to build efficient applications. All the concepts are explained in a crisp and concise manner and by the end of this book; you would be able to create highly efficient programs that you can deploy over cloud.

Learning Penetration Testing with Python. Utilize Python scripting to execute effective and efficient penetration tests

Christopher Duffy