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Karleen Koen, "Dark Angels: A Novel"
English | ISBN: 0307339912 | 2006 | 544 pages | AZW3 | 2 MB
Alice Verney is a young woman intent on achieving her dreams. Having left Restoration England in the midst of a messy scandal, she has been living in Louis XIV's Baroque, mannered France for two years. Now she is returning home to England and anxious to re-establish herself quickly. First, she will regain her former position as a maid of honor to Charles II's queen. Then she will marry the most celebrated duke of the Restoration, putting herself in a position to attain power she's only dreamed of. As a duchess, Alice will be able to make or break her friends and enemies at will.

But all is not as it seems in the rowdy, merry court of Charles II. Since the Restoration, old political alliances have frayed, and there are whispers that the king is moving to divorce his barren queen, who some wouldn't mind seeing dead. But Alice, loyal only to a select few, is devoted to the queen, and so sets out to discover who might be making sinister plans, and if her own father is one of them. When a member of the royal family dies unexpectedly, and poison is suspected, the stakes are raised. Alice steps up her efforts to find out who is and isn't true to the queen, learns of shocking betrayals throughout court, and meets a man that she may be falling in love with-and who will spoil all of her plans. With the suspected arrival of a known poison-maker, the atmosphere in the court electrifies, and suddenly the safety of the king himself seems uncertain. Secret Descriptions are at play, and war is on the horizon-but will it be with the Dutch or the French? And has King Charles himself betrayed his country for greed?
The long-awaited prequel to Koen's beloved
Read more

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[booksz]

Das Erwachen der Erde: Wie das Leben unseren Planeten formt
Deutsch | 2025 | ISBN: 3956146271 | 335 Pages | EPUB | 2 MB
Eine der ältesten Überzeugungen der Menschheit ist, dass unsere Welt lebendig ist. Das Konzept der Erde als vernetztes lebendes System wurde über Jahrzehnte hinweg von vielen Wissenschaftlern verachtet, jetzt ist es dabei, sich durchzusetzen. Wir und unsere Umwelt haben sich über Milliarden von Jahren gemeinsam entwickelt und einen Klumpen Gestein im All in eine kosmische Oase verwandelt - einen Planeten, der atmet, Stoffwechsel betreibt und sein Klima reguliert.

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DASH CAM MASTERY: The Complete User Guide to Front & Rear Full HD Camera Recording
English | March 4, 2025 | ASIN: B0DZD2WJ3X | 89 pages | Epub | 240.00 KB
Stop Driving Blind. See Everything, Protect Everything. Your Dash Cam's True Potential, Finally Revealed.

You invested in a car dash cam for one reason: peace of mind. But are you truly maximizing its potential, or just hoping for the best? Stop guessing and start driving with confidence. This isn't just another dry manual; it's your comprehensive roadmap to mastering your front and rear dash cam, a complete user guide for any model.
Benefits of Getting this Dash Cam User Guide:
Crystal-Clear Full HD Recording, Every Time: Discover the secrets to optimizing your dash cam settings for razor-sharp footage, day or night, capturing crucial details for accident evidence that other guides miss.
Effortless Dash Cam Installation & Setup: Conquer the complexities of dash cam wiring and mounting with our step-by-step, jargon-free instructions. Even if you're a tech novice, you'll have your dashboard camera running flawlessly in minutes.
24/7 Vehicle Protection & Security: Discover how to leverage parking mode and G-sensor sensitivity to safeguard your car from hit-and-runs and vandalism, ensuring vehicle security even when you're away.
Instant Dash Cam Troubleshooting at Your Fingertips: No more frantic online searches. Get immediate solutions to common issues and keep your car camera running smoothly, ensuring you never miss a vital moment.
Seamless Dash Cam Footage Management: Learn how to effortlessly transfer, review, and organize your recordings, turning your driving recorder into a powerful tool for evidence and memory keeping.
This dash cam user guide provides general information about front and rear dash cam installation and operation, which may be helpful for users of many dashboard camera models.
Inside, you'll discover:
Expert tips for optimal dash cam placement and cable management.
A deep dive into loop recording, motion detection, and other essential dash cam features.
Clear explanations of legal considerations and best practices for data privacy.
Dash cam troubleshooting guides for common problems, saving you time and frustration.
And much, much more!
Don't let your dash cam's potential go to waste. Don't leave your safety to chance.

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Data Analytics and Management: Proceedings of ICDAM by Ashish Khanna
English | EPUB | 2021 | 920 Pages | ISBN : 981158334X | 137.3 MB
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2020), held at Jan Wyzykowski University, Poland, during June 2020. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

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[booksz]

Data Analytics Decoded: A Beginner's Handbook: Understanding Key Concepts, Tools, and Strategies in Data Analytics
English | March 5, 2024 | ASIN: B0CWMFMZ8R | 93 pages | PDF | 684.10 KB
Data Analytics Decoded: A Beginner's Handbook Understanding Key Concepts, Tools, and Strategies in Data Analytics

In today's data-driven world, understanding how to analyze and interpret information is an invaluable skill. "Data Analytics Decoded" is your indispensable guide, demystifying the fundamentals of data analysis and empowering you to make informed, impactful decisions.
This comprehensive handbook is designed for anyone seeking to unlock the power of data, whether you're a:
Student: Gain a strong foundation in the principles that drive modern businesses and cutting-edge research.
Professional: Upskill and discover how data analytics can optimize your work, drive efficiency, and elevate your strategic insights.
Curious Individual: Uncover the hidden patterns in the world around you and make more informed choices in your personal life.
--
"Data Analytics Decoded" will take you on an engaging journey, where you will:
Grasp the essentials of data types, formats, and collection methods.
Learn how to clean, transform, and prepare data for powerful analysis.
Master the core pillars of data analytics (descriptive, diagnostic, predictive).
Explore a range of powerful analytical tools and visualization techniques.
Understand how to communicate data findings effectively to influence decisions.
Discover diverse career paths within the booming field of data analytics.
--
Embark on this accessible learning path and develop the confidence to wield data as your most potent tool. Start turning raw information into insights that give you a competitive edge.

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Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems by Bartosz Konieczny
English | May 20, 2025 | ISBN: 1098165810 | 372 pages | MOBI | 8.01 Mb
Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more.

Author Bartosz Konieczny guides you through the process of building reliable end-to-end data engineering projects, from data ingestion to data observability, focusing on data engineering design patterns that solve common business problems in a secure and storage-optimized manner. Each pattern includes a user-facing description of the problem, solutions, and consequences that place the pattern into the context of real-life scenarios.
Throughout this journey, you'll use open source data tools and public cloud services to apply each pattern. You'll learn:Challenges data engineers face and their impact on data systemsHow these challenges relate to data system componentsUseful applications of data engineering patternsHow to identify and fix issues with your current data componentsTechnology-agnostic solutions to new and existing data projects, with open source implementation examples
Bartosz Konieczny is a freelance data engineer who's been coding since 2010. He's held various senior hands-on positions that allowed him to work on many data engineering problems in batch and stream processing.

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Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
English | 2025 | ISBN: 1718504020 | 340 Pages | EPUB | 4 MB
Security teams rely on telemetry-the continuous stream of logs, events, metrics, and signals that reveal what's happening across systems, endpoints, and cloud services. But that data doesn't organize itself. It has to be collected, normalized, enriched, and secured before it becomes useful. That's where data engineering comes in.

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Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
English | May 31, 2024 | ASIN: B0C5MTLMMC | 696 pages | EPUB (True) | 21.22 MB
Work through 70 recipes for implementing reliable data pipelines with Apache Spark, optimally store and process structured and unstructured data in Delta Lake, and use Databricks to orchestrate and govern your data

Key Features
Learn data ingestion, data transformation, and data management techniques using Apache Spark and Delta Lake
Gain practical guidance on using Delta Lake tables and orchestrating data pipelines
Implement reliable DataOps and DevOps practices, and enforce data governance policies on Databricks
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Written by a Senior Solutions Architect at Databricks, Data Engineering with Databricks Cookbook will show you how to effectively use Apache Spark, Delta Lake, and Databricks for data engineering, starting with comprehensive introduction to data ingestion and loading with Apache Spark.
What makes this book unique is its recipe-based approach, which will help you put your knowledge to use straight away and tackle common problems. You'll be introduced to various data manipulation and data transformation solutions that can be applied to data, find out how to manage and optimize Delta tables, and get to grips with ingesting and processing streaming data. The book will also show you how to improve the performance problems of Apache Spark apps and Delta Lake. Advanced recipes later in the book will teach you how to use Databricks to implement DataOps and DevOps practices, as well as how to orchestrate and schedule data pipelines using Databricks Workflows. You'll also go through the full process of setup and configuration of the Unity Catalog for data governance.
By the end of this book, you'll be well-versed in building reliable and scalable data pipelines using modern data engineering technologies.
What you will learn
Perform data loading, ingestion, and processing with Apache Spark
Discover data transformation techniques and custom user-defined functions (UDFs) in Apache Spark
Manage and optimize Delta tables with Apache Spark and Delta Lake APIs
Use Spark Structured Streaming for real-time data processing
Optimize Apache Spark application and Delta table query performance
Implement DataOps and DevOps practices on Databricks
Orchestrate data pipelines with Delta Live Tables and Databricks Workflows
Implement data governance policies with Unity Catalog
Who this book is for
This book is for data engineers, data scientists, and data practitioners who want to learn how to build efficient and scalable data pipelines using Apache Spark, Delta Lake, and Databricks. To get the most out of this book, you should have basic knowledge of data architecture, SQL, and Python programming.
Table of Contents
Data Ingestion and Data Extraction with Apache Spark
Data Transformation and Data Manipulation with Apache Spark
Data Management with Delta Lake
Ingesting Streaming Data
Processing Streaming Data
Performance Tuning with Apache Spark
Performance Tuning in Delta Lake
Orchestration and Scheduling Data Pipeline with Databricks Workflows
Building Data Pipelines with Delta Live Tables
Data Governance with Unity Catalog
Implementing DataOps and DevOps on Databricks

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[booksz]

Data Science: Concepts, Strategies, and Applications
English | November 4, 2023 | ASIN: B0CMRWYDNS | 130 pages | EPUB (True) | 718.44 KB
Dive into the heart of data-driven discovery with 'Data Science: Concepts, Strategies, and Applications.' This comprehensive guide takes you on a transformative journey through the intricate world of data science, unraveling its core concepts, machine learning algorithms, and practical applications. Explore the ethical considerations woven into data analysis, ensuring responsible practices in every decision made. From preprocessing techniques and feature engineering to model evaluation and deployment strategies, this book equips both beginners and experts with essential skills. Delve into the cutting-edge realms of advanced AI, including reinforcement learning, generative adversarial networks, and quantum computing applications. Fusing theoretical knowledge with real-world insights, this book is your go-to resource for mastering data science. Whether you're a novice aspiring to enter the field or a seasoned professional, this guide empowers you to navigate the complexities of data science and harness its transformative potential.

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Data Science Essentials: Machine Learning and Natural Language Processing
English | June 17, 2023 | ASIN: B0C8GVJL71 | 70 pages | EPUB (True) | 564.61 KB
Are you ready to dive into the exciting world of Data Science? In today's data-driven society, understanding and harnessing the power of information has become essential for success in any field.

This comprehensive guide takes you on a journey through the core principles, methodologies, and applications of Data Science.
Topics:
Data Visualization
Machine Learning
Data Mining
Natural Language Processing
Artificial Intelligence
Deep Learning
Neural Networks

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Data Science with Oracle Miner and R Enterprise
English | 2023 | ASIN: None | 592 pages | Epub | 10.31 MB
Data science involves a wide array of technologies and statistical algorithms. This makes it difficult to automate each and every aspect of it. However, there are some areas in data science that can be automated using scripts and workflows.

At a high level, we can classify data science automation into the following categories:
Repetitive tasks automation: Repetitive tasks are those that have to be done every time while building models. Data extraction, data cleaning, and basic data
transformations such as imputing null values and algorithm-specific transformations are some tasks that fall into this category. These are to be done even for the same set of data every time. Automating these tasks would take some of the burdens off of a data scientist so they can concentrate more on solving business problems.
Automated statistician: This is an area of data science automation where statistical routines and machine learning are automated. The system executes the best algorithm based on the provided data set. It hides the intricacies and mathematical complexity of algorithms from the user. The user needs to provide automated statisticians with data. It understands the data, creates different mathematical models, and returns the result based on the model that best explains the data. It is still at a nascent stage and an active area of research.
Problem-specific automation: This involves automating a data science process based on the problem at hand. This eases a user of carrying out the same activity for a specific problem several times. For example, the data scientist of an organization develops a model for predicting future sales of an organization. Based on an organization's requirement, this activity has to be carried out at different time frames, say monthly or quarterly. Each time, a wide array of tasks have to be performed, such as extracting the data, preprocessing it, creating statistical models, and returning the results back to the business operation's database. If this whole process is automated, it drives agile business decisions, better customer focus, and operationally efficient and managed resources.

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[booksz]

Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science
English | 2018 | ASIN: B07H2WJFWW | 196 Pages | PDF EPUB (True) | 15 MB
SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you.

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Data Sharing für KMU: Voraussetzungen und Instrumente für die gemeinsame Nutzung von Daten
Deutsch | 2025 | ISBN: 3662712083 | 289 Pages | PDF (True) | 15 MB
Ein bewusster Umgang mit Daten ist für Unternehmen wichtiger denn je: Sie fördern Innovation in Geschäftsmodellen, erfordern aber auch einen effizienten und nachhaltigen Datenumgang. Unternehmen, die Daten teilen und nutzen, wirtschaften effizienter durch Data Sharing. In diesem Fachbuch werden verschiedene Aspekte des Data Sharings aus unternehmensübergreifender und -interner Perspektive, vorwiegend mit Blick auf kleine und mittelständische Unternehmen (KMU), betrachtet. Die Autor:innen untersuchen, wie Unternehmen Anreize schaffen können, um erfolgreich an der Datenökonomie teilzunehmen, aber auch welche externen Bedingungen gegeben sein sollten, um Unternehmen in die Lage zu versetzen, ihre ökonomischen Potenziale in Bezug auf Daten zu maximieren.

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Data-centric Approaches to Industrial Decisions: Technology, Digitisation and Business Decisions (Asset Analytics) by P. K. Kapur, Omar Alhazmi, Shakshi Singhal
English | August 31, 2025 | ISBN: 9819675553 | 485 pages | Epub PDF (True) | 56 Mb
This book explores mathematical modeling, predictive analytics, and interdisciplinary tools in formulating, implementing, and evaluating industrial strategies.This book presents cutting-edge research that intersects advanced computational techniques with practical decision-making across industries. This edited book showcases a curated collection of peer-reviewed contributions from international scholars and practitioners, addressing the growing complexity of business decisions in the era of big data, AI, and digital transformation.

From cyber-physical systems to sustainability analytics and business intelligence, each chapter provides a robust academic foundation while offering real-world implications for policymakers, managers, and researchers.
With a focus on actionable insights, the book is a vital reference for operations research, analytics, and digital strategy professionals and an enriching resource for postgraduate and doctoral scholars across business and engineering disciplines.

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Data-Driven Reproductive Health: Role of Bioinformatics and Machine Learning Methods by Abhishek Sengupta, Priyanka Narad, Gaurav Majumdar
English | October 18, 2024 | ISBN: 9819774500 | 242 pages | MOBI | 4.27 Mb
This book provides insight into the transformative impact of data-driven approaches on reproductive health. Chapters cover a wealth of intricate algorithms of genomic analysis, predictive modeling, and personalized treatment strategies, providing an up-to-date view of the reproductive healthcare landscape. With more than 20 code-based examples, the book decodes complex biological data using bioinformatics and machine learning and provides valuable insights into fertility, genetic disorders, and personalized medicine.

This book is relevant for healthcare professionals, researchers, and students in the fields of reproductive medicine, bioinformatics, and genetics.

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