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

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.

Extending OpenStack. Leverage extended OpenStack projects to implement containerization, deployment, and architecting robust cloud solutions

Omar Khedher

OpenStack is a very popular cloud computing platform that has enabled several organizations during the last few years to successfully implement their Infrastructure as a Service (IaaS) platforms. This book will guide you through new features of the latest OpenStack releases and how to bring them into production straightaway in an agile way.It starts by showing you how to expand your current OpenStack setup and how to approach your next OpenStack Data Center generation deployment. You will discover how to extend your storage and network capacity and also take advantage of containerization technology such as Docker and Kubernetes in OpenStack. Additionally, you'll explore the power of big data as a Service terminology implemented in OpenStack by integrating the Sahara project. This book will teach you how to build Hadoop clusters and launch jobs in a very simple way. Then you'll automate and deploy applications on top of OpenStack. You will discover how to write your own plugin in the Murano project. The final part of the book will go through best practices for security such as identity, access management, and authentication exposed by Keystone in OpenStack. By the end of this book, you will be ready to extend and customize your private cloud based on your requirements.

Go Recipes for Developers. Top techniques and practical solutions for real-life Go programming problems

Burak Serdar

With its simple syntax and sensible conventions, Go has emerged as the language of choice for developers in network programming, web services, data processing, and other settings. This practical guide helps engineers leverage Go through up-to-date recipes that solve common problems in day-to-day programming. Drawing from three decades of distributed systems engineering and technical leadership at companies like Red Hat, Burak Serdar brings battle-tested expertise in building robust, scalable applications. He starts by covering basics of code structure, describing different approaches to organizing packages for different types of projects. You’ll discover practical solutions to engineering challenges in network programming, dealing with processes, databases, data processing pipelines, and testing. Each chapter provides working solutions and production-ready code snippets that you can seamlessly incorporate into your programs while working in sequential and concurrent settings. The solutions leverage the more recent additions to the Go language, such as generics and structured logging. Most of the examples are developed using the Go standard library without any third-party packages. By the end of this book, you’ll have worked through a collection of proven recipes that will equip you accelerate your Go development journey.

Mastering Azure Virtual Desktop. A practical guide to designing, implementing, and managing Azure Virtual Desktop environments - Second Edition

Ryan Mangan, Neil McLoughlin, Marcel Meurer, Christiaan Brinkhoff

Acquire in-depth knowledge for designing, building, and supporting Azure Virtual Desktop environments with the updated second edition of Mastering Azure Virtual Desktop. With content aligned with exam objectives, this book will help you ace the Microsoft AZ-140 exam.This book starts with an introduction to Azure Virtual Desktop before delving into the intricacies of planning and architecting its infrastructure. As you progress, you’ll learn about the implementation process, with an emphasis on best practices and effective strategies. You’ll explore key areas such as managing and controlling access, advanced monitoring with the new Azure Monitoring Agent, and advanced application deployment. You’ll also gain hands-on experience with essential features like the MSIX app attach, enhancing user experience and operational efficiency. Beyond advancing your skills, this book is a crucial resource for those preparing for the Microsoft Certified: Azure Virtual Desktop Specialty certification.By the end of this book, you’ll have a thorough understanding of the Azure Virtual Desktop environment, from design to implementation.

Building Serverless Python Web Services with Zappa. Build and deploy serverless applications on AWS using Zappa

Abdulwahid Abdulhaque Barguzar

Serverless applications are becoming very popular these days, not just because they save developers the trouble of managing the servers, but also because they provide several other benefits such as cutting heavy costs and improving the overall performance of the application.This book will help you build serverless applications in a quick and efficient way. We begin with an introduction to AWS and the API gateway, the environment for serverless development, and Zappa. We then look at building, testing, and deploying apps in AWS with three different frameworks--Flask, Django, and Pyramid. Setting up a custom domain along with SSL certificates and configuring them with Zappa is also covered. A few advanced Zappa settings are also covered along with securing Zappa with AWS VPC.By the end of the book you will have mastered using three frameworks to build robust and cost-efficient serverless apps in Python.

Java Deep Learning Essentials. Unlocking the next generation of predictive power

Yusuke Sugomori

AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries – as the fundamental driver of AI, being able to tackle Deep Learning is going to a vital and valuable skill not only within the tech world but also for the wider global economy that depends upon knowledge and insight for growth and success. It’s something that’s moving beyond the realm of data science – if you’re a Java developer, this book gives you a great opportunity to expand your skillset.Starting with an introduction to basic machine learning algorithms, to give you a solid foundation, Deep Learning with Java takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. Once you’ve got to grips with the fundamental mathematical principles, you’ll start exploring neural networks and identify how to tackle challenges in large networks using advanced algorithms. You will learn how to use the DL4J library and apply Deep Learning to a range of real-world use cases. Featuring further guidance and insights to help you solve challenging problems in image processing, speech recognition, language modeling, this book will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights. As a bonus, you’ll also be able to get to grips with Theano and Caffe, two of the most important tools in Deep Learning today.By the end of the book, you’ll be ready to tackle Deep Learning with Java. Wherever you’ve come from – whether you’re a data scientist or Java developer – you will become a part of the Deep Learning revolution!

Java: Data Science Made Easy. Data collection, processing, analysis, and more

Richard M. Reese, Jennifer L. Reese, Alexey Grigorev

Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this course, we cover the basic as well as advanced data science concepts and how they are implemented using the popular Java tools and libraries.The course starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. You will examine the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation. Throughout this course, the chapters will illustrate a challenging data science problem, and then go on to present a comprehensive, Java-based solution to tackle that problem. You will cover a wide range of topics – from classification and regression, to dimensionality reduction and clustering, deep learning and working with Big Data. Finally, you will see the different ways to deploy the model and evaluate it in production settings.By the end of this course, you will be up and running with various facets of data science using Java, in no time at all.This course contains premium content from two of our recently published popular titles:- Java for Data Science- Mastering Java for Data Science

Zabbix Network Monitoring. Discover a smarter way to monitor your network - Second Edition

Rihards Olups, Rihards Olups

This book is a perfect starting point for monitoring with Zabbix. Even if you have never used a monitoring solution before, this book will get you up and running quickly, before guiding you into more sophisticated operations with ease. You'll soon feel in complete control of your network, ready to meet any challenges you might face.Beginning with installation, you'll learn the basics of data collection before diving deeper to get to grips with native Zabbix agents and SNMP devices. You will also explore Zabbix's integrated functionality for monitoring Java application servers and VMware. Beyond this, Zabbix Network Monitoring also covers notifications, permission management, system maintenance, and troubleshooting - so you can be confident that every potential challenge and task is under your control. If you're working with larger environments, you'll also be able to find out more about distributed data collection using Zabbix proxies. Once you're confident and ready to put these concepts into practice, you'll find out how to optimize and improve performance. Troubleshooting network issues is vital for anyone working with Zabbix, so the book is also on hand to help you work through any technical snags and glitches you might face. Network monitoring doesn't have to be a chore - learn the tricks of the Zabbix trade and make sure you're network is performing for everyone who depends upon it.

IBM Cognos Business Intelligence 10.1 Dashboarding Cookbook. Working with dashboards in IBM Cognos BI 10.1: Design, distribute, and collaborate with this book and

Ankit Garg

IBM Cognos 10 BI is the leader in the Gartner quadrant in terms of BI capabilities. There have been new features introduced with IBM Cognos 10 BI in terms of dashboards and BI. The book intends to highlight the latest and advanced dashboarding features introduced with IBM Cognos 10 BI. The book covers Business Insight and Business Insight Advanced in a comprehensive manner. It also covers best practices in terms of creating and distributing dashboards using IBM Cognos 10 BI, without which no BI solution would look presentable, usable and efficient. The book covers the new IBM Cognos 10 dashboarding capabilities in detail and a comprehensive manner. There whole content is divided in to step-by-step recipes, each of which covers a specific link in the whole chain of understanding and learning.Recipes are augmented with real steps and screenshots which nullify chances of error or misjudgement.These along with explanation, tips and information will help users to completely follow recipes and have a clear and concise understanding and will eventually enable them to use these in their own areas of interest.