Data Lake Development with Big Data. Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies

Pradeep Pasupuleti, Beulah Salome Purra

A Data Lake is a highly scalable platform for storing huge volumes of multistructured data from disparate sources with centralized data management services. This book explores the potential of Data Lakes and explores architectural approaches to building data lakes that ingest, index, manage, and analyze massive amounts of data using batch and real-time processing frameworks. It guides you on how to go about building a Data Lake that is managed by Hadoop and accessed as required by other Big Data applications.This book will guide readers (using best practices) in developing Data Lake's capabilities. It will focus on architect data governance, security, data quality, data lineage tracking, metadata management, and semantic data tagging. By the end of this book, you will have a good understanding of building a Data Lake for Big Data.

Mastering QuickBooks(R) 2023. The Ultimate Guide to Bookkeeping with QuickBooks® - Fourth Edition

Crystalynn Shelton

Mastering QuickBooks® 2023 is a comprehensive guide that covers everything you need to know to master QuickBooks, from setting up your accounts and managing your transactions to generating reports and integrating with other software.With step-by-step instructions, real-world examples, and practical tips and tricks, this book is designed to help small business owners, independent contractors, and bookkeepers optimize their financial management and streamline their business operations.

Mastering Transformers. The Journey from BERT to Large Language Models and Stable Diffusion - Second Edition

Savaş Yildirim, Meysam Asgari- Chenaghlu

Transformer-based language models such as BERT, T5, GPT, DALL-E, and ChatGPT have dominated NLP studies and become a new paradigm. Thanks to their accurate and fast fine-tuning capabilities, transformer-based language models have been able to outperform traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems.Aside from NLP, a fast-growing area in multimodal learning and generative AI has recently been established, showing promising results. Mastering Transformers will help you understand and implement multimodal solutions, including text-to-image. Computer vision solutions that are based on transformers are also explained in the book. You’ll get started by understanding various transformer models before learning how to train different autoregressive language models such as GPT and XLNet. The book will also get you up to speed with boosting model performance, as well as tracking model training using the TensorBoard toolkit. In the later chapters, you’ll focus on using vision transformers to solve computer vision problems. Finally, you’ll discover how to harness the power of transformers to model time series data and for predicting.By the end of this transformers book, you’ll have an understanding of transformer models and how to use them to solve challenges in NLP and CV.

OpenCV Android Programming By Example. Leverage OpenCV to develop vision-aware and intelligent Android applications

Amgad Muhammad, Erik Hellman, Erik A Westenius, Amgad M Ahmed Muhammad

Starting from the basics of computer vision and OpenCV, we'll take you all the way to creating exciting applications. You will discover that, though computer vision is a challenging subject, the ideas and algorithms used are simple and intuitive, and you will appreciate the abstraction layer that OpenCV uses to do the heavy lifting for you. Packed with many examples, the book will help you understand the main data structures used within OpenCV, and how you can use them to gain performance boosts. Next we will discuss and use several image processing algorithms such as histogram equalization, filters, and color space conversion. You then will learn about image gradients and how they are used in many shape analysis techniques such as edge detection, Hough Line Transform, and Hough Circle Transform. In addition to using shape analysis to find things in images, you will learn how to describe objects in images in a more robust way using different feature detectors and descriptors. By the end of this book, you will be able to make intelligent decisions using the famous Adaboost learning algorithm.

Practical Mobile Forensics. Forensically investigate and analyze iOS, Android, and Windows 10 devices - Fourth Edition

Rohit Tamma, Oleg Skulkin, Heather Mahalik, Satish Bommisetty

Mobile phone forensics is the science of retrieving data from a mobile phone under forensically sound conditions. This updated fourth edition of Practical Mobile Forensics delves into the concepts of mobile forensics and its importance in today's world.The book focuses on teaching you the latest forensic techniques to investigate mobile devices across various mobile platforms. You will learn forensic techniques for multiple OS versions, including iOS 11 to iOS 13, Android 8 to Android 10, and Windows 10. The book then takes you through the latest open source and commercial mobile forensic tools, enabling you to analyze and retrieve data effectively. From inspecting the device and retrieving data from the cloud, through to successfully documenting reports of your investigations, you'll explore new techniques while building on your practical knowledge. Toward the end, you will understand the reverse engineering of applications and ways to identify malware. Finally, the book guides you through parsing popular third-party applications, including Facebook and WhatsApp.By the end of this book, you will be proficient in various mobile forensic techniques to analyze and extract data from mobile devices with the help of open source solutions.

System Center 2012 R2 Virtual Machine Manager Cookbook. Over 70 recipes to help you design, configure, and manage a reliable and efficient virtual infrastructure with VMM 2012 R2

EDVALDO ALESSANDRO CARDOSO

Salesforce DevOps for Architects. Discover tools and techniques to optimize the delivery of your Salesforce projects

Rob Cowell, Lars Malmqvist

Rob Cowell is a Salesforce DevOps Advocate with extensive experience as a Salesforce Developer and Architect, guiding best practices for Salesforce DevOps. Lars Malmqvist, a 32x certified Salesforce CTA, has 15 years of experience building advanced Salesforce solutions and is the author of two books, Architecting AI Solutions on Salesforce and Salesforce Anti-Patterns. As the Salesforce Platform evolves, architects face increasing demand for advanced solutions. This book serves as your definitive guide to mastering effective DevOps practices crucial for successful Salesforce projects. Beginning with cultivating a DevOps mindset focused on collaboration and communication, it emphasizes governance, visibility, and accountability. You'll delve into tools and techniques, leveraging the robust capabilities of SFDX to craft your strategy efficiently. This book stands out for its practical approach to Salesforce packaging and CI/CD stack creation, guiding you to build a seamless automated change delivery system with freely available software. It addresses critical operational concerns such as ticket management, backups, change monitoring, and data seeding. In the final chapters, you'll discover third-party solutions to expedite your Salesforce DevOps journey, empowering you to deliver sophisticated and efficient projects.

CRYENGINE Game Development Blueprints. Perfect the art of creating CRYENGINE games through exciting, hands-on game development projects

Sam Howels, Richard G Marcoux, Riham Mohamed F Aly Aly Toulan, Samuel Howels, ...