Category: Databases & Big Data

Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle, 2nd Edition 0

Applied Data Science Using PySpark, 2nd Edition

eBook Details: Paperback: 467 pages Publisher: WOW! eBook; 2nd edition (December 2, 2024) Language: English ISBN-10: 8868808197 ISBN-13: 978-8868808197 eBook Description: Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle, 2nd Edition This Applied Data Science Using PySpark, 2nd Edition comprehensive guide, featuring hand-picked examples of daily use cases, will walk you through the end-to-end predictive model-building cycle using the latest techniques and industry tricks. In Chapters 1, 2, and 3, we will begin by setting up the environment and covering the basics of PySpark, focusing on data manipulation. Chapter 4 delves into the art of variable selection, demonstrating...

Hacking MySQL: Breaking, Optimizing, and Securing MySQL for Your Use Case 0

Hacking MySQL: Breaking, Optimizing, and Securing MySQL for Your Use Case

eBook Details: Paperback: 401 pages Publisher: WOW! eBook (December 3, 2024) Language: English ISBN-10: 8868809798 ISBN-13: 978-8868809798 eBook Description: Hacking MySQL: Breaking, Optimizing, and Securing MySQL for Your Use Case Your MySQL instances are probably broken. Many developers face slow-running queries, issues related to database architecture, replication, or database security and that’s only the beginning. This Hacking MySQL book will deliver answers to your most pressing MySQL database questions related to performance, availability, or security by uncovering what causes databases to break in the first place. At its core, this book provides you with the knowledge necessary for you to break your database...

Record Weather Data with Arduino and Solar Power: Use Sensors to Record and Analyze Meteorological Data 0

Record Weather Data with Arduino and Solar Power

eBook Details: Paperback: 251 pages Publisher: WOW! eBook (December 14, 2024) Language: English ISBN-10: 8868808135 ISBN-13: 978-8868808135 eBook Description: Record Weather Data with Arduino and Solar Power: Use Sensors to Record and Analyze Meteorological Data (Maker Innovations Series) Make a stand-alone weather data recorder to collect air pressure, air temperature, and humidity data using only an Arduino, SD-card, LCD display, and solar power. Start with that base data. Then easily extend your project to include more such as an XBee radio and sensors for air quality and radiation. Chunyin has years of experience as a researcher in meteorology and oceanography. The projects...

Data Mesh 0

Data Mesh

eBook Details: Paperback: 282 pages Publisher: WOW! eBook (May 16, 2024) Language: English ISBN-10: 9355519966 ISBN-13: 978-9355519962 eBook Description: Data Mesh: Principles, patterns, architecture, and strategies for data-driven decision making. Data Mesh: The future of data architecture! Data Mesh: Principles, patterns, architecture, and strategies for data-driven decision making introduces Data Mesh which is a macro data architecture pattern designed to harmonize governance with flexibility. This book guides readers through the nuances of Data Mesh topologies, explaining how they can be tailored to meet specific organizational needs while balancing central control with domain-specific autonomy. The book delves into the Data Mesh governance framework,...

Outlier Detection in Python 0

Outlier Detection in Python

eBook Details: Paperback: 560 pages Publisher: WOW! eBook (January 7, 2025) Language: English ISBN-10: 1633436470 ISBN-13: 978-1633436473 eBook Description: Outlier Detection in Python: Learn how to identify the unusual, interesting, extreme, or inaccurate parts of your data. Data scientists have two main tasks: finding patterns in data and finding the exceptions. These outliers are often the most informative parts of data, revealing hidden insights, novel patterns, and potential problems. Outlier Detection in Python is a practical guide to spotting the parts of a dataset that deviate from the norm, even when they’re hidden or intertwined among the expected data points. In Outlier...