QlikView Essentials. Want to solve your Business Intelligence headaches? Learn how QlikView can help, and discover a powerful yet accessible BI solution that lets you harness your data

Chandraish Sinha

This guide demonstrates just how easy it is to get started with QlikView and create your own BI application. Featuring an introduction to its core features before exploring how to load data and model it, you’ll soon become more confident that you can take full advantage of QlikView’s capabilities.. You will also learn how to use QVD files with QlikView – and how they offer a simpler way of handling data.After digging deeper into data handling, as you learn how to use mapping tables and create a master calendar, you’ll then find out how to get the most from QlikView’s visualization features – vital if you are to use your data insights effectively. From accessible and user friendly dashboards to strategies and best practices for subjecting data to further analysis, you can be confident that you’ll be prepared to get the most out of your data with QlikView.With details on how to finally secure your application and deploy it for a successful integration in your organization, QlikView Essentials underlines exactly why QlikView is becoming more and more popular for businesses that understand the value of data.

SQL Server 2014 Development Essentials. Design, implement, and deliver a successful database solution with Microsoft SQL Server 2014

Basit A. Masood-Al-Farooq

Graph Machine Learning. Take graph data to the next level by applying machine learning techniques and algorithms

Claudio Stamile, Aldo Marzullo, Enrico Deusebio

Graph Machine Learning will introduce you to a set of tools used for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks. The first chapters will introduce you to graph theory and graph machine learning, as well as the scope of their potential use. You’ll then learn all you need to know about the main machine learning models for graph representation learning: their purpose, how they work, and how they can be implemented in a wide range of supervised and unsupervised learning applications. You'll build a complete machine learning pipeline, including data processing, model training, and prediction in order to exploit the full potential of graph data. After covering the basics, you’ll be taken through real-world scenarios such as extracting data from social networks, text analytics, and natural language processing (NLP) using graphs and financial transaction systems on graphs. You’ll also learn how to build and scale out data-driven applications for graph analytics to store, query, and process network information, and explore the latest trends on graphs. By the end of this machine learning book, you will have learned essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications.

Full-Stack Web Development with TypeScript 5. Craft modern full-stack projects with Bun, PostgreSQL, Svelte, TypeScript, and OpenAI

Mykyta Chernenko, Artem Korchunov

This book takes you on a journey with TypeScript 5, introducing its nuances and advantages over traditional JavaScript, explaining TypeScript basics, and highlighting the syntax, typing, generics, classes, and interfaces. Expert advice will help you build your understanding of TypeScript's role in modern web applications. You'll gain hands-on experience with the tools required to write full-stack web applications end to end, beginning with setting up the Bun environment for backend development. This book also explores server-side functionality such as authentication, routing, and database integration with PostgreSQL. The second part of the book focuses on the integration of the OpenAI API, demonstrating the use of the GPT API for different use cases. The final part covers frontend development using Svelte, guiding you through UI design, state management, and performance optimization. Each chapter has real-world examples and comparisons to other technologies, providing you with a comprehensive understanding of full-stack development.By the end of this book, you'll have learned how to build modern web applications using TypeScript 5 and confidently tackle full-stack development challenges.

Python for Geeks. Build production-ready applications using advanced Python concepts and industry best practices

Muhammad Asif

Python is a multipurpose language that can be used for multiple use cases. Python for Geeks will teach you how to advance in your career with the help of expert tips and tricks.You'll start by exploring the different ways of using Python optimally, both from the design and implementation point of view. Next, you'll understand the life cycle of a large-scale Python project. As you advance, you'll focus on different ways of creating an elegant design by modularizing a Python project and learn best practices and design patterns for using Python. You'll also discover how to scale out Python beyond a single thread and how to implement multiprocessing and multithreading in Python. In addition to this, you'll understand how you can not only use Python to deploy on a single machine but also use clusters in private as well as in public cloud computing environments. You'll then explore data processing techniques, focus on reusable, scalable data pipelines, and learn how to use these advanced techniques for network automation, serverless functions, and machine learning. Finally, you'll focus on strategizing web development design using the techniques and best practices covered in the book.By the end of this Python book, you'll be able to do some serious Python programming for large-scale complex projects.

Attacking and Exploiting Modern Web Applications. Discover the mindset, techniques, and tools to perform modern web attacks and exploitation

Simone Onofri, Donato Onofri, Matteo Meucci

Web attacks and exploits pose an ongoing threat to the interconnected world. This comprehensive book explores the latest challenges in web application security, providing you with an in-depth understanding of hackers' methods and the practical knowledge and skills needed to effectively understand web attacks.The book starts by emphasizing the importance of mindset and toolset in conducting successful web attacks. You’ll then explore the methodologies and frameworks used in these attacks, and learn how to configure the environment using interception proxies, automate tasks with Bash and Python, and set up a research lab. As you advance through the book, you’ll discover how to attack the SAML authentication layer; attack front-facing web applications by learning WordPress and SQL injection, and exploit vulnerabilities in IoT devices, such as command injection, by going through three CTFs and learning about the discovery of seven CVEs. Each chapter analyzes confirmed cases of exploitation mapped with MITRE ATT&CK. You’ll also analyze attacks on Electron JavaScript-based applications, such as XSS and RCE, and the security challenges of auditing and exploiting Ethereum smart contracts written in Solidity. Finally, you’ll find out how to disclose vulnerabilities.By the end of this book, you’ll have enhanced your ability to find and exploit web vulnerabilities.

Learn AWS Serverless Computing. A beginner's guide to using AWS Lambda, Amazon API Gateway, and services from Amazon Web Services

Scott Patterson

Serverless computing is a way to run your code without having to provision or manage servers. Amazon Web Services provides serverless services that you can use to build and deploy cloud-native applications. Starting with the basics of AWS Lambda, this book takes you through combining Lambda with other services from AWS, such as Amazon API Gateway, Amazon DynamoDB, and Amazon Step Functions. You’ll learn how to write, run, and test Lambda functions using examples in Node.js, Java, Python, and C# before you move on to developing and deploying serverless APIs efficiently using the Serverless Framework. In the concluding chapters, you’ll discover tips and best practices for leveraging Serverless Framework to increase your development productivity. By the end of this book, you’ll have become well-versed in building, securing, and running serverless applications using Amazon API Gateway and AWS Lambda without having to manage any servers.

Learning PySpark. Click here to enter text

Tomasz Drabas, Denny Lee

Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and how to set up a Python environment for Spark. You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. Also, you will get a thorough overview of machine learning capabilities of PySpark using ML and MLlib, graph processing using GraphFrames, and polyglot persistence using Blaze. Finally, you will learn how to deploy your applications to the cloud using the spark-submit command. By the end of this book, you will have established a firm understanding of the Spark Python API and how it can be used to build data-intensive applications.

Oracle Linux Cookbook. Embrace Oracle Linux and master Linux Server Management

Erik Benner, Erik B. Thomsen, Jonathan Spindel, Robert G. Shimp

Discover the power of Oracle Linux 8, the free and enterprise-grade Linux distribution designed for use in any environment, with this recipe-style book.Starting with instructions on how to obtain Oracle Linux for both X86 and ARM-based platforms, this book walks you through various installation methods, from running it as a Windows service to installing it on a Raspberry Pi. It unravels advanced topics such as system upgrades using Leapp for major version transitions and using a PXE server and kickstart files for more advanced installations. The book then delves into swapping kernels to take advantage of Oracle’s UEK, exploring boot options, managing software with DNF, and achieving high availability. Detailed recipes involving security topics will assist with tasks such as data encryption, both at rest and in motion.For developers, it offers guidance on building RPM files, using Docker and Podman in a containerized environment, working with AppStreams, and more. For large-scale deployments, the book introduces Oracle Linux Automation Manager for enterprise-level Ansible utilization, from setting up the Ansible server to basic playbook writing. Finally, you’ll discover strategies for cloud migration.By the end of this book, you’ll possess a comprehensive toolkit that will elevate your skills as a Linux administrator.

Supervised Machine Learning with Python. Develop rich Python coding practices while exploring supervised machine learning

Taylor Smith

Supervised machine learning is used in a wide range of sectors, such as finance, online advertising, and analytics, to train systems to make pricing predictions, campaign adjustments, customer recommendations, and much more by learning from the data that is used to train it and making decisions on its own. This makes it crucial to know how a machine 'learns' under the hood.This book will guide you through the implementation and nuances of many popular supervised machine learning algorithms, and help you understand how they work. You’ll embark on this journey with a quick overview of supervised learning and see how it differs from unsupervised learning. You’ll then explore parametric models, such as linear and logistic regression, non-parametric methods, such as decision trees, and a variety of clustering techniques that facilitate decision-making and predictions. As you advance, you'll work hands-on with recommender systems, which are widely used by online companies to increase user interaction and enrich shopping potential. Finally, you’ll wrap up with a brief foray into neural networks and transfer learning.By the end of this book, you’ll be equipped with hands-on techniques and will have gained the practical know-how you need to quickly and effectively apply algorithms to solve new problems.

Instant Premium Drupal Themes. Learn how to create visually stunning themes to add the wow factor to all of your Drupal sites! with this book and

Pankaj Sharma

Drupal’s theme layer, and the themes that use it, are responsible for the look and feel of a Drupal web site. Themes have the final say and ultimate control over almost every aspect of each page. Good themes consist of all the same elements that you would find on any reputable web site, including standards-compliant XHTML markup, CSS, and JavaScript. How it all comes together is what is so special and what makes Drupal themes so flexible and powerful.Premium Drupal Themes is a practical, hands-on guide filled with clear, step-by-step examples which shows you how to create Drupal themes using HTML. This book will show you the best practices and conventions that you should adopt and utilize so you can change the way Drupal looks using HTML without wasting energy digging through Drupal’s code.Starting with the essentials including Drupal terminology and Drupal theme structures, this book will show you how to configure raw HTML in a Drupal environment. You will learn about the Drupal template variables and also how to populate a Drupal theme with dynamic content. You will also discover how to customize the search result page and how to add regions to your home page. This book will help you familiarize yourself with the theme engines and will help you learn about the core of Drupal’s theme rendering system. Finally, you will learn how to create your very own Drupal theme that will take people’s breath away!

Automating Security Detection Engineering. A hands-on guide to implementing Detection as Code

Dennis Chow, David Bruskin

Today's global enterprise security programs grapple with constantly evolving threats. Even though the industry has released abundant security tools, most of which are equipped with APIs for integrations, they lack a rapid detection development work stream. This book arms you with the skills you need to automate the development, testing, and monitoring of detection-based use cases.You’ll start with the technical architecture, exploring where automation is conducive throughout the detection use case lifecycle. With the help of hands-on labs, you’ll learn how to utilize threat-informed defense artifacts and then progress to creating advanced AI-powered CI/CD pipelines to bolster your Detection as Code practices. Along the way, you'll develop custom code for EDRs, WAFs, SIEMs, CSPMs, RASPs, and NIDS. The book will also guide you in developing KPIs for program monitoring and cover collaboration mechanisms to operate the team with DevSecOps principles. Finally, you'll be able to customize a Detection as Code program that fits your organization's needs.By the end of the book, you'll have gained the expertise to automate nearly the entire use case development lifecycle for any enterprise.

Learning Geospatial Analysis with Python. If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how

Joel Lawhead

Geospatial analysis is used in almost every field you can think of from medicine, to defense, to farming. It is an approach to use statistical analysis and other informational engineering to data which has a geographical or geospatial aspect. And this typically involves applications capable of geospatial display and processing to get a compiled and useful data.Learning Geospatial Analysis with Python uses the expressive and powerful Python programming language to guide you through geographic information systems, remote sensing, topography, and more. It explains how to use a framework in order to approach Geospatial analysis effectively, but on your own terms.Learning Geospatial Analysis with Python starts with a background of the field, a survey of the techniques and technology used, and then splits the field into its component speciality areas: GIS, remote sensing, elevation data, advanced modelling, and real-time data.This book will teach you everything there is to know, from using a particular software package or API to using generic algorithms that can be applied to Geospatial analysis. 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.Learning Geospatial Analysis with Python will round out your technical library with handy recipes and a good understanding of a field that supplements many a modern day human endeavors.

Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python

Tyler Richards

Streamlit shortens the development time for the creation of data-focused web applications, allowing data scientists to create web app prototypes using Python in hours instead of days. Getting Started with Streamlit for Data Science takes a hands-on approach to helping you learn the tips and tricks that will have you up and running with Streamlit in no time.You'll start with the fundamentals of Streamlit by creating a basic app and gradually build on the foundation by producing high-quality graphics with data visualization and testing machine learning models. As you advance through the chapters, you’ll walk through practical examples of both personal data projects and work-related data-focused web applications, and get to grips with more challenging topics such as using Streamlit Components, beautifying your apps, and quick deployment of your new apps.By the end of this book, you’ll be able to create dynamic web apps in Streamlit quickly and effortlessly using the power of Python.

API Security for White Hat Hackers. Uncover offensive defense strategies and get up to speed with secure API implementation

Confidence Staveley, Christopher Romeo

APIs have evolved into an essential part of modern applications, making them an attractive target for cybercriminals. Written by a multi-award-winning cybersecurity leader , this comprehensive guide offers practical insights into testing APIs, identifying vulnerabilities, and fixing them.With a focus on hands-on learning, this book guides you through securing your APIs in a step-by-step manner. You'll learn how to bypass authentication controls, circumvent authorization controls, and identify vulnerabilities in APIs using open-source and commercial tools. Moreover, you'll gain the skills you need to write comprehensive vulnerability reports and recommend and implement effective mitigation strategies to address the identified vulnerabilities. This book isn't just about hacking APIs; it's also about understanding how to defend them. You'll explore various API security management strategies and understand how to use them to safeguard APIs against emerging threats.By the end of this book, you'll have a profound understanding of API security and how to defend against the latest threats. Whether you're a developer, security professional, or ethical hacker, this book will ensure that your APIs are secure and your organization's data is protected.

Elasticsearch 7.0 Cookbook. Over 100 recipes for fast, scalable, and reliable search for your enterprise - Fourth Edition

Alberto Paro

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics.Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins.By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.