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Karau Holden: High Performance Spark

High Performance Spark

Best Practices for Scaling and Optimizing Apache Spark

The Internet of Things (IoT) has revolutionized the way we live, work, and interact with our surroundings. Sensor systems play a crucial role in these technological advancements, and their integration with IoT has revolutionized the way data is acquired, processed, and utilized. This book offers a structured understanding of sensor technologies, principles, applications, and their integration into IoT systems, thereby bridging the gap between sensors and IoT applications.This book goes beyond theoretical explanations and stands out as a comprehensive and practical guide with a strong focus on real-world applications. It reveals some interesting aspects of such fascinating interactions between sensors and the IoT -- in particular, cutting-edge technologies and possibilities ranging from smart homes to industrial automation and beyond. It also offers a detailed exploration of sensors and the measurement principles characteristic of sensors designed to detect and measure specific environmental parameters -- especially those equipped with the capability to convert the collected data into electronic signals, which can then be processed and communicated to other connected devices through the internet. Data-based innovation in driving technological advancements is also addressed, and Intellectual Property (IP) is explored as a key element in bridging the gap between scientific research and marketable products.This book is an indispensable guide for students, researchers, and professionals alike. Its comprehensive approach to sensor technology makes it a valuable resource for scientists, engineers, and decision makers in industry.

Sensors And The Internet Of Things: Acquisition And Use Of Big Data

Increase efficiency, improve profitability and reduce spend and become more confident handling and analyzing customer data for further insight.

Strategies for Accuracy and Efficiency

Optimizing Sales and Marketing Data

Use this step-by-step guide to prepare, design and implement a simplified data governance programme built to meet the needs of your organization. Prepare, design and implement a data governance framework that works for your organization with this practical guide to harnessing data successfully.

Design a Framework that Works for Your Organization

Effective Data Governance

Written by a data scientist with decades of practical experience on some of the most challenging datasets, this book caters to both novices and professionals working in the fields of data science and machine learning. It enables novices to enter these fields with confidence and ease. There are no formal prerequisites. An introduction to Python is included. The book then proceeds to cover some of the language's most advanced features. The mathematical foundations that follow are meticulously explained. The discussion then proceeds to a practical consideration of data science and machine learning. The material is delivered through case studies developed on real datasets. The reader is invited to follow these case studies, and so develop experience in working with real data. Numerous solved exercises make this work suitable for self-study. The contents of this book have been taught by the author to students of different age groups and levels of experience at Imperial College London and at the Thalesians Intensive Summer School in Artificial Intelligence over the years.

Introduction To Python For Quantitative Finance, An: From Scratch To Productivity

"This book comprehensively introduces the basic knowledge and main technologies of cloud computing and big data. It covers cloud computing, big data technology, virtualization technology, data centers, parallel computing and clustering technology, cloud storage technology, OpenStack, Hadoop, Spark, Storm, and cloud computing simulation. With a focus on practicality, this volume is enriched with experiments and closely integrates theory with practice, enabling readers to systematically and comprehensively understand cloud computing and big data technologies. This useful reference textbook benefits professionals, academics, researchers, graduate and undergraduate students in databases/information sciences"-- Provided by publisher.

Cloud Computing And Big Data Technology

Applications in R and Python

Essentials of Big Data Analytics

Quantum Computing: Principles and Paradigms covers a broad range of topics, providing a state-of-the-art and comprehensive reference for the rapid progress in the field of quantum computing and related technologies from major international companies (such as IBM, Google, Intel, Rigetti, Q-Control) and academic researchers. This book appeals to a broad readership, as it covers comprehensive topics in the field of quantum computing, including hardware, software, algorithms, and applications, with chapters written by both academic researchers and industry developers. This book presents readers with the fundamental concepts of quantum computing research, along with the challenges involved in developing practical devices and applications.

Principles and Paradigms

Quantum Computing

Data-Driven Insights and Analytics for Measurable Sustainable Development Goals discusses the growing imperative to understand, measure, and guide actions using data-driven insights. The SDGs encompass a broad spectrum of global challenges, from eradicating poverty and hunger to preserving the environment and fostering peace. To address these issues, one should be able to measure and analyze progress. This book bridges the gap between qualitative and quantitative assessments, recognizing that goals are not solely about numbers but also encompass complex social, environmental, and economic dynamics. By merging data science with qualitative analysis, readers can explore how SDGs intersect and influence each other. The book provides readers with an understanding of how to effectively leverage data science models and algorithms using descriptive analytics, allowing us to assess the current state of SDG performance and offering valuable insights into where we stand on these critical goals. Prescriptive analytics guides actions by offering actionable recommendations, while predictive analytics anticipates future trends and challenges, helping us navigate our path toward the SDGs effectively.

High Performance Spark

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