Inne

Spring Security 3.x Cookbook. Secure your Java applications against online threats by learning the powerful mechanisms of Spring Security. Presented as a cookbook full of recipes, this book covers a wide range of vulnerabilities and scenarios

Anjana Mankale

Web applications are exposed to a variety of threats and vulnerabilities at the authentication, authorization, service, and domain object levels. Spring Security can help secure these applications against those threats.Spring Security is a popular application security solution for Java applications. It is widely used to secure standalone web applications, portlets, and increasingly REST applications. It is a powerful and highly customizable authentication and access-control framework. It is the de-facto standard for securing Spring-based applications and it is currently used to secure numerous demanding environments including government agencies, military applications, and central banks.Spring Security 3.x Cookbook is a repository of recipes to help you successfully secure web applications against threats and vulnerabilities at the authentication and session level layers using the Spring Security framework. We will not only explore Spring-based web applications, but also Java-based and Grails-based applications that can use Spring Security as their security framework. Apart from conventional web applications, we will also look at securing portlets, RESTful web service applications, and other non-web applications.This book will also take you through how to integrate Spring Security with other popular web frameworks/technologies such as Vaadin, EJB, and GWT. In addition to testing and debugging the implemented security measures, this book will also delve into finer aspects of Spring Security implementation such as how it deals with concurrency, multitenancy, and customization, and we will even show you how to disable it.This book gives you an overview of Spring Security and its implementation with various frameworks. It starts with container-based authentication before taking you on a tour of the main features of Spring Security. It demonstrates security concepts like BASIC, FORM, and DIGEST authentication and shows you how to integrate the Spring Security framework with various frameworks like JSF, struts2, Vaadin, and more.The book also demonstrates how to utilize container managed security without JAAS. Then, we move on to setting up a struts2 application before showing you how to integrate Spring Security with other frameworks like JSF, Groovy, Wicket, GWT, and Vaadin respectively.This book will serve as a highly practical guide and will give you confidence when it comes to applying security to your applications. It's packed with simple examples which show off each concept of Spring Security and which help you learn how it can be integrated with various frameworks.

Spring Security. Effectively secure your web apps, RESTful services, cloud apps, and microservice architectures - Fourth Edition

Badr Nasslahsen

With experienced hackers constantly targeting apps, properly securing them becomes challenging when you integrate this factor with legacy code, new technologies, and other frameworks. Written by a Lead Cloud and Security Architect as well as CISSP, this book helps you easily secure your Java apps with Spring Security, a trusted and highly customizable authentication and access control framework.The book shows you how to implement different authentication mechanisms and properly restrict access to your app. You’ll learn to integrate Spring Security with popular web frameworks like Thymeleaf and Microservice and Cloud services like Zookeeper and Eureka, along with architecting solutions that leverage its full power while staying loosely coupled. You’ll also see how Spring Security defends against session fixation, moves into concurrency control, and how you can use session management for administrative functions. This fourth edition aligns with Java 17/21 and Spring Security 6, covering advanced security scenarios for RESTful web services and microservices. This ensures you fully understand the issues surrounding stateless authentication and discover a concise approach to solving those issues.By the end of this book, you’ll be able to integrate Spring Security 6 with GraalVM native images seamlessly, from start to finish.

SQL Server on Linux. Configuring and administering your SQL Server solution on Linux

Jasmin Azemovifá

Microsoft's launch of SQL Server on Linux has made SQL Server a truly versatile platform across different operating systems and data-types, both on-premise and on-cloud.This book is your handy guide to setting up and implementing your SQL Server solution on the open source Linux platform. You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions. Then you will brush up your SQL Server skills by creating and querying database objects and implementing basic administration tasks to support business continuity, including security and performance optimization. This book will also take you beyond the basics and highlight some advanced topics such as in-memory OLTP and temporal tables.By the end of this book, you will be able to recognize and utilize the full potential of setting up an efficient SQL Server database solution in your Linux environment.

Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks

James D. Miller

Data science is an ever-evolving field, which is growing in popularity at an exponential rate. Data science includes techniques and theories extracted from the fields of statistics; computer science, and, most importantly, machine learning, databases, data visualization, and so on.This book takes you through an entire journey of statistics, from knowing very little to becoming comfortable in using various statistical methods for data science tasks. It starts off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for statistical computation are clearly explained along with logic. You will come across various mathematical concepts, such as variance, standard deviation, probability, matrix calculations, and more. You will learn only what is required to implement statistics in data science tasks such as data cleaning, mining, and analysis. You will learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks.By the end of the book, you will be comfortable with performing various statistical computations for data science programmatically.

Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

Pratap Dangeti

Complex statistics in machine learning worry a lot of developers. Knowing statistics helps you build strong machine learning models that are optimized for a given problem statement.This book will teach you all it takes to perform the complex statistical computations that are required for machine learning. You will gain information on the statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. You will see real-world examples that discuss the statistical side of machine learning and familiarize yourself with it. You will come across programs for performing tasks such as modeling, parameter fitting, regression, classification, density collection, working with vectors, matrices, and more.By the end of the book, you will have mastered the statistics required for machine learning and will be able to apply your new skills to any sort of industry problem.

Supercharge Power BI. Power BI is Better When You Learn To Write DAX

MrExcel's Holy Macro! Books, Matt Allington

This guide is designed to empower Power BI users with advanced skills in data modeling and DAX. It begins with an introduction to the foundational concepts of data modeling, where you'll learn how to structure your data for optimal performance and analysis. You’ll then progress to mastering essential DAX functions, including iterators, filters, and time intelligence. These chapters will help you create sophisticated calculations that bring your data to life.As you advance, the guide delves into more complex topics like evaluation context, context transition, and disconnected tables. These concepts are crucial for understanding how DAX formulas interact with your data, enabling you to build more accurate and insightful reports. The guide also covers practical applications, such as transferring DAX skills to Excel and using advanced Power BI features like Analyze in Excel and Cube Formulas.By the end of this book, you'll have a deep understanding of both data modeling and DAX, equipping you with the knowledge to tackle complex data challenges. Whether you’re working on business intelligence projects or enhancing your data analysis capabilities, this guide will give you the tools to excel in Power BI.

Systemy ERP. Modelowanie, projektowanie, wdrażanie

Tadeusz Gospodarek

"Systemy ERP. Modelowanie, projektowanie, wdrażanie" najlepszą Informatyczną Książką Naukową Roku 2016! Książka otrzymała nagrodę w konkursie orgaizowanym przez Radę Naukową Polskiego Towarzystwa Informatycznego. --- Zarządzaj organizacją z pomocą ERP! Modelowanie systemów ERP, czyli budowanie modelu działania organizacji Projektowanie systemów ERP, czyli przejście do modelu technologicznego Wdrażanie i serwis systemów ERP, czyli łączenie modelu z tkanką organizacji W dzisiejszym świecie wśród większych firm, korporacji i innych organizacji z ambicjami dość powszechne jest przekonanie, że podstawowym narzędziem analizy i dobrego zarządzania jest system ERP. System ten rozumiany jest przy tym często jako narzędzie informatyczne, czyli magiczne oprzyrządowanie do dostarczania danych — choć w rzeczywistości w tego typu systemach technologia IT pełni rolę służebną w stosunku do zarządzania. Przekonany o palącej potrzebie uporządkowania swoich zasobów zarząd organizacji kupuje jedno z renomowanych rozwiązań i... okazuje się, że nie da się go tak po prostu dołączyć do zestawu poręcznych instrumentów zarządzania. Dlaczego? Ponieważ struktura firmy i logika systemu ERP całkowicie rozmijają się ze sobą. Czy ten problem da się jakoś rozwiązać? Odpowiedź na to pytanie znajdziesz w tej wyjątkowej książce, napisanej przez prawdziwego eksperta i opartej na konkretnych przykładach. Dowiesz się stąd, jak należy definiować pojęcie ERP i które jego aspekty są absolutnie kluczowe dla powodzenia całego przedsięwzięcia. Odkryjesz, że system ERP jest złożonym narzędziem inteligentnym, wymagającym podejścia interdyscyplinarnego do jego funkcjonalności i stosowania. Zorientujesz się, jak powinno wyglądać wdrożenie takiego systemu. Zrozumiesz także, jak ważna jest kwestia komunikacji między firmą zamawiającą system a firmą, która go wdraża. Jeśli chcesz, by w Twojej firmie działał sensowny system ERP, nie możesz przegapić tej książki. Zrozumieć ERP Model ontologiczny Model funkcjonalny ERP Modele semantyczne ERP Projekty poziomu ekonomicznego Projekty poziomu IT Wdrażanie systemu ERP Serwisowanie systemów ERP Dodatki Inteligentnie wdrażaj system ERP!

Systemy It w Polsce. Nowoczesne przedsiębiorstwo handlowo-dystrybucyjne

BPC GROUP POLAND

Pandemia przeniosła świat do innej rzeczywistości. Z dnia na dzień zmienił się rynek, jego struktura i modele biznesowe. Niektóre przedsiębiorstwa, a nawet całe branże, upadły. Wiele z nich straciło nabywców, a gro nie potrafiło przeskalować na czas swojej działalności. Ale to jedna strona medalu. Druga jest taka, że kryzys stał się okazją do rozwoju wielu biznesów. Przede wszystkim usług medycznych oraz tych, opartych o e-commerce. Jak na te zmiany zareagowała branża informatyczna?  Zapraszamy do zapoznania się z opiniami ekspertów IT oraz proponowanymi przez nich rozwiązaniami.  Prezentację systemów i dyskusję z ekspertami rozpoczęliśmy na łamach niniejszej publikacji, a kontynuujemy w serwisie doradczym www.bpc-guide.pl.

Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10

Joshua N. Milligan, Tristan Guillevin

Graphical presentation of data enables us to easily understand complex data sets. Tableau 10 Complete Reference provides easy-to-follow recipes with several use cases and real-world business scenarios to get you up and running with Tableau 10.This Learning Path begins with the history of data visualization and its importance in today's businesses. You'll also be introduced to Tableau - how to connect, clean, and analyze data in this visual analytics software. Then, you'll learn how to apply what you've learned by creating some simple calculations in Tableau and using Table Calculations to help drive greater analysis from your data. Next, you'll explore different advanced chart types in Tableau. These chart types require you to have some understanding of the Tableau interface and understand basic calculations. You’ll study in detail all dashboard techniques and best practices. A number of recipes specifically for geospatial visualization, analytics, and data preparation are also covered. Last but not least, you'll learn about the power of storytelling through the creation of interactive dashboards in Tableau. Through this Learning Path, you will gain confidence and competence to analyze and communicate data and insights more efficiently and effectively by creating compelling interactive charts, dashboards, and stories in Tableau.This Learning Path includes content from the following Packt products:• Learning Tableau 10 - Second Edition by Joshua N. Milligan• Getting Started with Tableau 2018.x by Tristan Guillevin

Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau

Dmitry Anoshin, Teodora Matic, Slaven Bogdanovic, Tania...

Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x Cookbook is full of useful recipes from industry experts, who will help you master Tableau skills and learn each aspect of Tableau's ecosystem.This book is enriched with features such as Tableau extracts, Tableau advanced calculations, geospatial analysis, and building dashboards. It will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real-world examples. From basic functionalities of Tableau to complex deployment on Linux, you will cover it all. Moreover, you will learn advanced features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the concluding chapters, you will learn how Tableau fits the modern world of analytics and works with modern data platforms such as Snowflake and Redshift. In addition, you will learn about the best practices of integrating Tableau with ETL using Matillion ETL.By the end of the book, you will be ready to tackle business intelligence challenges using Tableau's features.

Tableau Desktop Specialist Certification. A prep guide with multiple learning styles to help you gain Tableau Desktop Specialist certification

Adam Mico

The Tableau Desktop Specialist certification is fundamental for any data visualization professional who works in the field with Tableau.This book gets you started by covering the exam format, Tableau basics, and best practices for preparing data for analysis and visualization. It also builds on your knowledge of advanced Tableau topics to get you up to speed with the essential domains and domain objectives. Although the guide provides an outline and starting point to key in on what needs to be understood before the examination, it also delivers in context to give you a strong understanding of each piece before taking the exam. Instructions on how to get hands on with examples, a common data source, and suggested elements are also included. Understanding the concepts will not only assist you in passing the examination, but will also help you work effectively with the tool in your workspace.By the end of this book, you'll be able to efficiently prepare for the certification exam with the help of mock tests, detailed explanations, and expert advice from the author.

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook. Create better operational analytics for your users with these business solutions

Derek Wilson

SQL Server Analysis Service (SSAS) has been widely used across multiple businesses to build smart online analytical reporting solutions. It includes two different types of modeling for analysis services: Tabular and Multi Dimensional. This book covers Tabular modeling, which uses tables and relationships with a fast in-memory engine to provide state of the art compression algorithms and query performance.The book begins by quickly taking you through the concepts required to model tabular data and set up the necessary tools and services. As you learn to create tabular models using tools such as Excel and Power View, you’ll be shown various strategies to deploy your model on the server and choose a query mode (In-memory or DirectQuery) that best suits your reporting needs. You’ll also learn how to implement key and newly introduced DAX functions to create calculated columns and measures for your model data. Last but not least, you’ll be shown techniques that will help you administer and secure your BI implementation along with some widely used tips and tricks to optimize your reporting solution.By the end of this book, you’ll have gained hands-on experience with the powerful new features that have been added to Tabular models in SSAS 2016 and you’ll be able to improve user satisfaction with faster reports and analytical queries.

Teaching with Google Classroom. To provide a step-by-step guide to setup and use Google Classroom

Michael Zhang

Google Classroom helps teachers bring their work online. According to Google Trends, it’s already bigger than Moodle after barely a year in the wild. This book is a complete start-to-finish guide for teachers using Google Classroom for the first time. It explains what Google Classroom is, what it can do, how to set it up, and how to use it to enhance student learning while making your life as a teacher easier. It shows you how to place resources and activities online, gather assignments, and develop group and individual activities. It’s not just a manual, you’ll also discover inspiring, easy ways to put Google Classroom to work for you and your class.

Terraform for Google Cloud Essential Guide. Learn how to provision infrastructure in Google Cloud securely and efficiently

Bernd Nordhausen

Google Cloud has adopted Terraform as the standard Infrastructure as Code tool. This necessitates a solid understanding of Terraform for any cloud architect or engineer working on Google Cloud. Yet no specific resources are available that focus on how to use Terraform on Google Cloud.This is the first book that teaches Terraform specifically for Google Cloud. You will take a journey from the basic concepts through to deploying complex architectures using Terraform. Using extensive code examples, you will receive guidance on how to authenticate Terraform in Google Cloud. As you advance, you’ll get to grips with all the essential concepts of the Terraform language as applied to Google Cloud and deploy complete working architectures at the push of a button. Finally, you’ll also be able to improve your Terraform workflow using Google Cloud native and third-party tools.By the end of this Terraform book, you will have gained a thorough understanding of Terraform and how to use it on Google Cloud, and be able to develop effective Terraform code, build reusable code, and utilize public domain Terraform modules to deploy on Google Cloud faster and more securely.

The AI Value Playbook. How to make AI work in the real world

Lisa Weaver-Lambert

Business leaders are challenged by the speed of AI innovation and how to navigate disruption and uncertainty. This book is a crucial resource for those who want to understand how to leverage AI to drive business value, drawn from the firsthand experience of those who have been implementing this technology successfully. The AI Value Playbook focuses on questions frequently posed by leaders and boards. How can businesses adapt to these emerging technologies? How can they start building and deploying AI as a strategic asset to drive efficiency? What risks or threats need to be considered? How quickly can value be created? This book is a response to those demands. In a series of in-depth and wide-ranging conversations with practitioners, from CEOs leading new generative AI-based companies to Data Scientists and CFOs working in more traditional companies. Our experts share their hard-earned wisdom, talking candidly about their successes and failures, and what excites them about the future. These interviews offer unique insights for business leaders to apply to their own organizations. The book distils a value-driven playbook for how AI can be put to work today.

The Artificial Intelligence Infrastructure Workshop. Build your own highly scalable and robust data storage systems that can support a variety of cutting-edge AI applications

Chinmay Arankalle, Gareth Dwyer, Bas Geerdink, Kunal...

Social networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one.The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You’ll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you’ll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You’ll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you’ll gain hands-on experience with PyTorch. Finally, you’ll explore ways to run machine learning models in production as part of an AI application.By the end of the book, you’ll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods.