Ratnoo S Essentials of R for Data Analytics 2021
General:
Name: Ratnoo S Essentials of R for Data Analytics 2021
Format: pdf
Size: 20.7 MB
Book:
Title: Essentials of R for Data Analytics
Author: Saroj Dahiya Ratnoo & Himmat Singh Ratnoo
Language: polski
Year: 2021
Subjects: Computers, Database Management, Databases – General & Miscellaneous
Publisher: Packt Publishing
ISBN: 9781800563094
Total pages: 537
Description:
Apache Spark is a unified data analytics engine designed to process huge volumes of data quickly and efficiently. PySpark is Apache Spark’s Python language API, which offers Python developers an easy-to-use scalable data analytics framework.
Essential PySpark for Scalable Data Analytics starts by exploring the distributed computing paradigm and provides a high-level overview of Apache Spark. You’ll begin your analytics journey with the data engineering process, learning how to perform data ingestion, cleansing, and integration at scale. This book helps you build real-time analytics pipelines that help you gain insights faster. You’ll then discover methods for building cloud-based data lakes, and explore Delta Lake, which brings reliability to data lakes. The book also covers Data Lakehouse, an emerging paradigm, which combines the structure and performance of a data warehouse with the scalability of cloud-based data lakes. Later, you’ll perform scalable data science and machine learning tasks using PySpark, such as data preparation, feature engineering, and model training and productionization. Finally, you’ll learn ways to scale out standard Python ML libraries along with a new pandas API on top of PySpark called Koalas.
By the end of this PySpark book, you’ll be able to harness the power of PySpark to solve business problems.
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