Zscaler Cloud Security Essentials. Discover how to securely embrace cloud efficiency, intelligence, and agility with Zscaler

Ravi Devarasetty

Many organizations are moving away from on-premises solutions to simplify administration and reduce expensive hardware upgrades. This book uses real-world examples of deployments to help you explore Zscaler, an information security platform that offers cloud-based security for both web traffic and private enterprise applications.You'll start by understanding how Zscaler was born in the cloud, how it evolved into a mature product, and how it continues to do so with the addition of sophisticated features that are necessary to stay ahead in today's corporate environment. The book then covers Zscaler Internet Access and Zscaler Private Access architectures in detail, before moving on to show you how to map future security requirements to ZIA features and transition your business applications to ZPA. As you make progress, you'll get to grips with all the essential features needed to architect a customized security solution and support it. Finally, you'll find out how to troubleshoot the newly implemented ZIA and ZPA solutions and make them work efficiently for your enterprise.By the end of this Zscaler book, you'll have developed the skills to design, deploy, implement, and support a customized Zscaler security solution.

Learning Geospatial Analysis with Python. An effective guide to geographic information systems and remote sensing analysis using Python 3

Joel Lawhead

Geospatial Analysis is used in almost every field you can think of from medicine, to defense, to farming. This book will guide you gently into this exciting and complex field. It walks you through the building blocks of geospatial analysis and how to apply them to influence decision making using the latest Python software. Learning Geospatial Analysis with Python, 2nd Edition uses the expressive and powerful Python 3 programming language to guide you through geographic information systems, remote sensing, topography, and more, while providing a framework for you to approach geospatial analysis effectively, but on your own terms. We start by giving you a little background on the field, and a survey of the techniques and technology used. We then split the field into its component specialty areas: GIS, remote sensing, elevation data, advanced modeling, and real-time data.This book will teach you everything you need to know about, Geospatial Analysis from using a particular software package or API to using generic algorithms that can be applied. This book focuses on pure Python whenever possible to minimize compiling platform-dependent binaries, so that you don’t become bogged down in just getting ready to do analysis. This book will round out your technical library through handy recipes that will give you a good understanding of a field that supplements many a modern day human endeavors.

Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition

Soledad Galli

Feature engineering, the process of transforming variables and creating features, albeit time-consuming, ensures that your machine learning models perform seamlessly. This second edition of Python Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes.This updated edition begins by addressing fundamental data challenges such as missing data and categorical values, before moving on to strategies for dealing with skewed distributions and outliers. The concluding chapters show you how to develop new features from various types of data, including text, time series, and relational databases. With the help of numerous open source Python libraries, you'll learn how to implement each feature engineering method in a performant, reproducible, and elegant manner.By the end of this Python book, you will have the tools and expertise needed to confidently build end-to-end and reproducible feature engineering pipelines that can be deployed into production.

Resilient Cybersecurity. Reconstruct your defense strategy in an evolving cyber world

Mark Dunkerley

Building a Comprehensive Cybersecurity Program addresses the current challenges and knowledge gaps in cybersecurity, empowering individuals and organizations to navigate the digital landscape securely and effectively. Readers will gain insights into the current state of the cybersecurity landscape, understanding the evolving threats and the challenges posed by skill shortages in the field.This book emphasizes the importance of prioritizing well-being within the cybersecurity profession, addressing a concern often overlooked in the industry. You will construct a cybersecurity program that encompasses architecture, identity and access management, security operations, vulnerability management, vendor risk management, and cybersecurity awareness. It dives deep into managing Operational Technology (OT) and the Internet of Things (IoT), equipping readers with the knowledge and strategies to secure these critical areas.You will also explore the critical components of governance, risk, and compliance (GRC) within cybersecurity programs, focusing on the oversight and management of these functions. This book provides practical insights, strategies, and knowledge to help organizations build and enhance their cybersecurity programs, ultimately safeguarding against evolving threats in today's digital landscape.

Implementing Identity Management on AWS. A real-world guide to solving customer and workforce IAM challenges in your AWS cloud environments

Jon Lehtinen, Steve "Hutch" Hutchinson

AWS identity management offers a powerful yet complex array of native capabilities and connections to existing enterprise identity systems for administrative and application identity use cases. This book breaks down the complexities involved by adopting a use-case-driven approach that helps identity and cloud engineers understand how to use the right mix of native AWS capabilities and external IAM components to achieve the business and security outcomes they want.You will begin by learning about the IAM toolsets and paradigms within AWS. This will allow you to determine how to best leverage them for administrative control, extending workforce identities to the cloud, and using IAM toolsets and paradigms on an app deployed on AWS. Next, the book demonstrates how to extend your on-premise administrative IAM capabilities to the AWS backplane, as well as how to make your workforce identities available for AWS-deployed applications. In the concluding chapters, you’ll learn how to use the native identity services with applications deployed on AWS.By the end of this IAM Amazon Web Services book, you will be able to build enterprise-class solutions for administrative and application identity using AWS IAM tools and external identity systems.

Raspberry Pi Computer Architecture Essentials. Click here to enter text

Andrew K. Dennis

With the release of the Raspberry Pi 2, a new series of the popular compact computer is available for you to build cheap, exciting projects and learn about programming.In this book, we explore Raspberry Pi 2’s hardware through a number of projects in a variety of programming languages. We will start by exploring the various hardware components in detail, which will provide a base for the programming projects and guide you through setting up the tools for Assembler, C/C++, and Python. We will then learn how to write multi-threaded applications and Raspberry Pi 2’s multi-core processor. Moving on, you’ll get hands on by expanding the storage options of the Raspberry Pi beyond the SD card and interacting with the graphics hardware. Furthermore, you will be introduced to the basics of sound programming while expanding upon your knowledge of Python to build a web server. Finally, you will learn to interact with the third-party microcontrollers. From writing your first Assembly Language application to programming graphics, this title guides you through the essentials.

Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data

Jason Myerscough, Arunee Singhchawla

Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters.The book begins by introducing you to ADX, its architecture, core features, and benefits. You'll learn how to securely deploy ADX instances and navigate through the ADX Web UI, cover data ingestion, and discover how to query and visualize your data using the powerful Kusto Query Language (KQL). Next, you'll get to grips with KQL operators and functions to efficiently query and explore your data, as well as perform time series analysis and search for anomalies and trends in your data. As you progress through the chapters, you'll explore advanced ADX topics, including deploying your ADX instances using Infrastructure as Code (IaC). The book also shows you how to manage your cluster performance and monthly ADX costs by handling cluster scaling and data retention periods. Finally, you'll understand how to secure your ADX environment by restricting access with best practices for improving your KQL query performance.By the end of this Azure book, you'll be able to securely deploy your own ADX instance, ingest data from multiple sources, rapidly query your data, and produce reports with KQL and Power BI.

Elasticsearch Indexing. How to Improve User’s Search Experience

Huseyin Akdogan

Beginning with an overview of the way ElasticSearch stores data, you’ll begin to extend your knowledge to tackle indexing and mapping, and learn how to configure ElasticSearch to meet your users’ needs. You’ll then find out how to use analysis and analyzers for greater intelligence in how you organize and pull up search results – to guarantee that every search query is met with the relevant results! You’ll explore the anatomy of an ElasticSearch cluster, and learn how to set up configurations that give you optimum availability as well as scalability. Once you’ve learned how these elements work, you’ll find real-world solutions to help you improve indexing performance, as well as tips and guidance on safety so you can back up and restore data. Once you’ve learned each component outlined throughout, you will be confident that you can help to deliver an improved search experience – exactly what modern users demand and expect.