SAP HANA Cookbook. Your all-inclusive guide to understanding SAP HANA with practical recipes with over 50 recipes

Chandrasekhar Mankala (USD), Ganesh Mahadevan V., Ganesh Mahadevan (USD)

SAP HANA is a real-time applications platform that provides a multi-purpose, in-memory appliance. Decision makers in the organization can gain instant insight into business operations. Thus all the data available can be analysed and you can react to the changing business conditions rapidly to make decisions. The real-time platform not only empowers business users and top management to make decisions but also provides the capability to make decisions in real-time.A practical and comprehensive guide that helps you understand the power of SAP HANA’s real-time and in-memory capabilities. It also provides step-by-step instructions to exploit all the possible features of the SAP HANA database, enabling users to harness the full potential of this technology and its features.You will gain an understanding of real-time replications, effective data loading from various sources, how to load data, and how to create re-usable objects such as models and reports.Use this practical guide to enable or transform your business landscape by implementing SAP HANA to meet your business requirements. The book shows you how to load data from different types of systems, create models in SAP HANA, and consume data for decision-making. The book covers various tools at different stages creating models using SAP HANA Studio, and consuming data using reporting tools such as SAP BusinessObjects, SAP Lumira, and so on . This book also explains the in-depth architecture of SAP HANA to help you understand SAP HANA as an appliance, that is, a combination of hardware and software.The book covers the best practices to leverage SAP HANA’s in-memory technology to transform data into insightful information. It also covers technology landscaping, solution architecture, connectivity, data loading, and setting up the environment for modeling purpose (including setup of SAP HANA Studio).If you have an intention to start your career as SAP HANA Modeler, this book is the perfect start. 

Before Machine Learning Volume 1 - Linear Algebra for A.I. The Fundamental Mathematics for Data Science and Artificial Intelligence

Jorge Brasil

In this book, you'll embark on a comprehensive journey through the fundamentals of linear algebra, a critical component for any aspiring machine learning expert. Starting with an introductory overview, the course explains why linear algebra is indispensable for machine learning, setting the stage for deeper exploration. You'll then dive into the concepts of vectors and matrices, understanding their definitions, properties, and practical applications in the field.As you progress, the course takes a closer look at matrix decomposition, breaking down complex matrices into simpler, more manageable forms. This section emphasizes the importance of decomposition techniques in simplifying computations and enhancing data analysis. The final chapter focuses on principal component analysis, a powerful technique for dimensionality reduction that is widely used in machine learning and data science. By the end of the course, you will have a solid grasp of how PCA can be applied to streamline data and improve model performance.This course is designed to provide technical professionals with a thorough understanding of linear algebra's role in machine learning. By the end, you'll be well-equipped with the knowledge and skills needed to apply linear algebra in practical machine learning scenarios.

Data Engineering with AWS. Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition

Gareth Eagar

This book, authored by a seasoned Senior Data Architect with 25 years of experience, aims to help you achieve proficiency in using the AWS ecosystem for data engineering. This revised edition provides updates in every chapter to cover the latest AWS services and features, takes a refreshed look at data governance, and includes a brand-new section on building modern data platforms which covers; implementing a data mesh approach, open-table formats (such as Apache Iceberg), and using DataOps for automation and observability.You'll begin by reviewing the key concepts and essential AWS tools in a data engineer's toolkit and getting acquainted with modern data management approaches. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how that transformed data is used by various data consumers. You’ll learn how to ensure strong data governance, and about populating data marts and data warehouses along with how a data lakehouse fits into the picture. After that, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. Then, you'll explore how the power of machine learning and artificial intelligence can be used to draw new insights from data. In the final chapters, you'll discover transactional data lakes, data meshes, and how to build a cutting-edge data platform on AWS.By the end of this AWS book, you'll be able to execute data engineering tasks and implement a data pipeline on AWS like a pro!

Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data

Jonas Christensen, Nakul Bajaj, Manmohan Gosada, Kirk D. Borne

In the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets.This book will help you understand what data-centric ML/AI is and how it can help you to realize the potential of ‘small data’. Delving into the building blocks of data-centric ML/AI, you’ll explore the human aspects of data labeling, tackle ambiguity in labeling, and understand the role of synthetic data. From strategies to improve data collection to techniques for refining and augmenting datasets, you’ll learn everything you need to elevate your data-centric practices. Through applied examples and insights for overcoming challenges, you’ll get a roadmap for implementing data-centric ML/AI in diverse applications in Python.By the end of this book, you’ll have developed a profound understanding of data-centric ML/AI and the proficiency to seamlessly integrate common data-centric approaches in the model development lifecycle to unlock the full potential of your machine learning projects by prioritizing data quality and reliability.

OPNsense Beginner to Professional. Protect networks and build next-generation firewalls easily with OPNsense

Julio Cesar Bueno de Camargo

OPNsense is one of the most powerful open source firewalls and routing platforms available. With OPNsense, you can now protect networks using features that were only previously available to closed source commercial firewalls.This book is a practical guide to building a comprehensive network defense strategy using OPNsense. You’ll start with the basics, understanding how to install, configure, and protect network resources using native features and additional OPNsense plugins. Next, you’ll explore real-world examples to gain in-depth knowledge of firewalls and network defense. You’ll then focus on boosting your network defense, preventing cyber threats, and improving your knowledge of firewalling using this open source security platform.By the end of this OPNsense book, you’ll be able to install, configure, and manage the OPNsense firewall by making the most of its features.

QlikView Server and Publisher. Written for server administrators, this book guides you step by step through installing, managing, and maintaining QlikView Server and Publisher for your enterprise. It’s the foolproof route to turning information into knowledge

Stephen Redmond

Mastering Linux Shell Scripting. A practical guide to Linux command-line, Bash scripting, and Shell programming - Second Edition

Mokhtar Ebrahim, Andrew Mallett

In this book, you’ll discover everything you need to know to master shell scripting and make informed choices about the elements you employ.Grab your favorite editor and start writing your best Bash scripts step by step. Get to grips with the fundamentals of creating and running a script in normal mode, and in debug mode. Learn about various conditional statements' code snippets, and realize the power of repetition and loops in your shell script. You will also learn to write complex shell scripts. This book will also deep dive into file system administration, directories, and system administration like networking, process management, user authentications, and package installation and regular expressions. Towards the end of the book, you will learn how to use Python as a BASH Scripting alternative. By the end of this book, you will know shell scripts at the snap of your fingers and will be able to automate and communicate with your system with keyboard expressions.

AI and Business Rule Engines for Excel Power Users. Capture and scale your business knowledge into the cloud – with Microsoft 365, Decision Models, and AI tools from IBM and Red Hat

Paul Browne, Alex Porcelli

Microsoft Excel is widely adopted across diverse industries, but Excel Power Users often encounter limitations such as complex formulas, obscure business knowledge, and errors from using outdated sheets. They need a better enterprise-level solution, and this book introduces Business rules combined with the power of AI to tackle the limitations of Excel.This guide will give you a roadmap to link KIE (an industry-standard open-source application) to Microsoft’s business process automation tools, such as Power Automate, Power Query, Office Script, Forms, VBA, Script Lab, and GitHub. You’ll dive into the graphical Decision Modeling standard including decision tables, FEEL expressions, and advanced business rule editing and testing.By the end of the book, you’ll be able to share your business knowledge as graphical models, deploy and execute these models in the cloud (with Azure and OpenShift), link them back to Excel, and then execute them as an end-to-end solution removing human intervention. You’ll be equipped to solve your Excel queries and start using the next generation of Microsoft Office tools.

Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library

Kai Sasaki

TensorFlow.js is a framework that enables you to create performant machine learning (ML) applications that run smoothly in a web browser. With this book, you will learn how to use TensorFlow.js to implement various ML models through an example-based approach.Starting with the basics, you'll understand how ML models can be built on the web. Moving on, you will get to grips with the TensorFlow.js ecosystem to develop applications more efficiently. The book will then guide you through implementing ML techniques and algorithms such as regression, clustering, fast Fourier transform (FFT), and dimensionality reduction. You will later cover the Bellman equation to solve Markov decision process (MDP) problems and understand how it is related to reinforcement learning. Finally, you will explore techniques for deploying ML-based web applications and training models with TensorFlow Core. Throughout this ML book, you'll discover useful tips and tricks that will build on your knowledge.By the end of this book, you will be equipped with the skills you need to create your own web-based ML applications and fine-tune models to achieve high performance.

Inkscape 0.48 Essentials for Web Designers: LITE

Bethany Hiitola

Architecting Cloud Native Applications. Design high-performing and cost-effective applications for the cloud

Kamal Arora, Erik Farr, John Gilbert, Piyum Zonooz

Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems.This Learning Path teaches you everything you need to know for designing industry-grade cloud applications and efficiently migrating your business to the cloud. It begins by exploring the basic patterns that turn your database inside out to achieve massive scalability. You’ll learn how to develop cloud native architectures using microservices and serverless computing as your design principles. Then, you’ll explore ways to continuously deliver production code by implementing continuous observability in production. In the concluding chapters, you’ll learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform, and understand the future trends and expectations of cloud providers.By the end of this Learning Path, you’ll have learned the techniques to adopt cloud native architectures that meet your business requirements. This Learning Path includes content from the following Packt products:• Cloud Native Development Patterns and Best Practices by John Gilbert• Cloud Native Architectures by Erik Farr et al.

Instant Testing with CasperJS. Create advanced and efficient CasperJS tests for your web development projects

Eric Brehault

Professional web development implies systematic testing. While JavaScript unit tests will validate your JavaScript library’s quality, web functional testing is the only way to guarantee the expected behavior of your web pages. CasperJS is a fast and simple JavaScript testing API that can run on any platform, and it is currently one of the best and easiest ways to write your functional tests.Instant Testing with CasperJS will teach you how to write efficient and accurate tests for your professional web developments. This practical guide explains the various different CasperJS principles through clear and detailed examples, covering a large set of common use cases. This book will progressively cover everything you need to know from CasperJS basic principles to the most advanced testing practices.This book starts off by introducing you to the different testing assertions that you can perform with the CasperJS API. We will then move on to cover why bad timing between event triggering can ruin tests and learn strategies to avoid it. Finally, you will learn how to test efficient and complex web interactions like drag and drop, authentication, and file uploading. With Instant Testing with CasperJS, you will be able to set up an advanced and functional test suite for your web development projects quickly and efficiently.

JIRA Agile Essentials. Bring the power of Agile to Atlassian JIRA and run your projects efficiently with Scrum and Kanban

Patrick Li

XGBoost for Regression Predictive Modeling and Time Series Analysis. Learn how to build, evaluate, and deploy predictive models with expert guidance

Partha Pritam Deka, Joyce Weiner, Prof. Roberto V. Zicari

XGBoost offers a powerful solution for regression and time series analysis, enabling you to build accurate and efficient predictive models. In this book, the authors draw on their combined experience of 40+ years in the semiconductor industry to help you harness the full potential of XGBoost, from understanding its core concepts to implementing real-world applications.As you progress, you'll get to grips with the XGBoost algorithm, including its mathematical underpinnings and its advantages over other ensemble methods. You'll learn when to choose XGBoost over other predictive modeling techniques, and get hands-on guidance on implementing XGBoost using both the Python API and scikit-learn API. You'll also get to grips with essential techniques for time series data, including feature engineering, handling lag features, encoding techniques, and evaluating model performance. A unique aspect of this book is the chapter on model interpretability, where you'll use tools such as SHAP, LIME, ELI5, and Partial Dependence Plots (PDP) to understand your XGBoost models. Throughout the book, you’ll work through several hands-on exercises and real-world datasets.By the end of this book, you'll not only be building accurate models but will also be able to deploy and maintain them effectively, ensuring your solutions deliver real-world impact.

iCloud Standard Guide. Making the most of Apple's iCloud to store, backup, manage, and share your content across all your devices is made beautifully clear in this practical guide. It even tells you how to use it on a Windows PC

Andri Yadi, Fauzan Alfi

iCloud is a cloud storage and cloud computing service from Apple Inc. iCloud is a hub in a multi-devices environment, that allows your iPads, iPhones, iPod Touches, and Macs sync with each other and always have the same content. The service allows users to store data, such as music files, on remote computer servers that can be downloaded to multiple devices such as iOS-based devices, and personal computers running OS X or Microsoft Windows.This practical guide provides easy, step-by-step guidance to using the numerous features offered by iCloud, for first time users You will be guided through everything that you need to know about using iCloud on multiple platforms, as well as how to use it on a Windows PC.Learn about what iCloud can offer you with this practical guide, and what makes it better than other cloud services. It will take you through all of the iCloud services available, and help you to manage your contents easily across devices.You will also learn how to use Mail, Contacts, Calendar, and other iCloud services on Mac, PC, iOS devices or in the web browser. This book will also let you explore more on using iPhone and iTunes with iCloud, sync all contents without any hassle, and even back them up with iCloud. If you want to take full advantage of iCloud, then this is the right book for you.

Docker Deep Dive. Zero to Docker in a Single Book - Second Edition

Nigel Poulton

Most applications, even the funky cloud-native microservices ones, need high-performance, production-grade infrastructure to run on. Having impeccable knowledge of Docker will help you thrive in the modern cloud-first world. With this book, you will gain the skills you need in order to work with Docker and its containers.The book begins with an introduction to containers and explains their functionality and application in the real world. You will then get an overview of VMware, Kubernetes, and Docker and learn to install Docker on Windows, Mac, and Linux. Once you have understood the Ops and Dev perspective of Docker, you will be able to see the big picture and understand what Docker exactly does. The book then turns its attention to the more technical aspects, guiding you through practical exercises covering Docker engine, Docker images, and Docker containers. You will learn techniques for containerizing an app, deploying apps with Docker Compose, and managing cloud-native applications with Swarm. You will also build Docker networks and Docker overlay networks and handle applications that write persistent data. Finally, you will deploy apps with Docker stacks and secure your Docker environment.By the end of this book, you will be well-versed in Docker and containers and have developed the skills to create, deploy, and run applications on the cloud.