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!

Python Natural Language Processing Cookbook. Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks

Zhenya Antić

Python is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting computer-usable data. This book will take you through a range of techniques for text processing, from basics such as parsing the parts of speech to complex topics such as topic modeling, text classification, and visualization.Starting with an overview of NLP, the book presents recipes for dividing text into sentences, stemming and lemmatization, removing stopwords, and parts of speech tagging to help you to prepare your data. You’ll then learn ways of extracting and representing grammatical information, such as dependency parsing and anaphora resolution, discover different ways of representing the semantics using bag-of-words, TF-IDF, word embeddings, and BERT, and develop skills for text classification using keywords, SVMs, LSTMs, and other techniques. As you advance, you’ll also see how to extract information from text, implement unsupervised and supervised techniques for topic modeling, and perform topic modeling of short texts, such as tweets. Additionally, the book shows you how to develop chatbots using NLTK and Rasa and visualize text data.By the end of this NLP book, you’ll have developed the skills to use a powerful set of tools for text processing.

Mastering Python Forensics. Master the art of digital forensics and analysis with Python

Michael Spreitzenbarth, Johann Uhrmann

Digital forensic analysis is the process of examining and extracting data digitally and examining it. Python has the combination of power, expressiveness, and ease of use that makes it an essential complementary tool to the traditional, off-the-shelf digital forensic tools. This book will teach you how to perform forensic analysis and investigations by exploring the capabilities of various Python libraries. The book starts by explaining the building blocks of the Python programming language, especially ctypes in-depth, along with how to automate typical tasks in file system analysis, common correlation tasks to discover anomalies, as well as templates for investigations. Next, we’ll show you cryptographic algorithms that can be used during forensic investigations to check for known files or to compare suspicious files with online services such as VirusTotal or Mobile-Sandbox.Moving on, you’ll learn how to sniff on the network, generate and analyze network flows, and perform log correlation with the help of Python scripts and tools. You’ll get to know about the concepts of virtualization and how virtualization influences IT forensics, and you’ll discover how to perform forensic analysis of a jailbroken/rooted mobile device that is based on iOS or Android.Finally, the book teaches you how to analyze volatile memory and search for known malware samples based on YARA rules.

Robotics at Home with Raspberry Pi Pico. Build autonomous robots with the versatile low-cost Raspberry Pi Pico controller and Python

Danny Staple

The field of robotics is expanding, and this is the perfect time to learn how to create robots at home for different purposes. This book will help you take your first steps in planning, building, and programming a robot with Raspberry Pi Pico, an impressive controller bursting with I/O capabilities. After a quick tour of Pico, you’ll begin designing a robot chassis in 3D CAD. With easy-to-follow instructions, shopping lists, and plans, you’ll start building the robot. Further, you’ll add simple sensors and outputs to extend the robot, reinforce your design skills, and build your knowledge in programming with CircuitPython. You’ll also learn about interactions with electronics, standard robotics algorithms, and the discipline and process for building robots. Moving forward, you’ll learn how to add more complicated sensors and robotic behaviors, with increasing complexity levels, giving you hands-on experience. You’ll learn about Raspberry Pi Pico’s excellent features, such as PIO, adding capabilities such as avoiding walls, detecting movement, and compass headings. You’ll combine these with Bluetooth BLE for seeing sensor data and remotely controlling your robot with a smartphone. Finally, you’ll program the robot to find its location in an arena.By the end of this book, you’ll have built a robot at home, and be well equipped to build more with different levels of complexity.

Cybersecurity: The Beginner's Guide. A comprehensive guide to getting started in cybersecurity

Dr. Erdal Ozkaya

It's not a secret that there is a huge talent gap in the cybersecurity industry. Everyone is talking about it including the prestigious Forbes Magazine, Tech Republic, CSO Online, DarkReading, and SC Magazine, among many others. Additionally, Fortune CEO's like Satya Nadella, McAfee's CEO Chris Young, Cisco's CIO Colin Seward along with organizations like ISSA, research firms like Gartner too shine light on it from time to time.This book put together all the possible information with regards to cybersecurity, why you should choose it, the need for cyber security and how can you be part of it and fill the cybersecurity talent gap bit by bit. Starting with the essential understanding of security and its needs, we will move to security domain changes and how artificial intelligence and machine learning are helping to secure systems. Later, this book will walk you through all the skills and tools that everyone who wants to work as security personal need to be aware of. Then, this book will teach readers how to think like an attacker and explore some advanced security methodologies. Lastly, this book will deep dive into how to build practice labs, explore real-world use cases and get acquainted with various cybersecurity certifications.By the end of this book, readers will be well-versed with the security domain and will be capable of making the right choices in the cybersecurity field.

Learning Bitcoin. Embrace the new world of fiance by leveraging the power of crypto-currencies using Bitcoin and the Blockchain

Richard Caetano, Matthew Stannard, Derek Wong