Essential PySpark for Scalable Data Analytics: A beginner's guide to harnessing

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Essential PySpark for Scalable Data Analytics by Sreeram Nudurupati

Essential PySpark for Scalable Data Analytics is an introduction for anyone new to the distributed computing model. You'll learn to unlock the analytics world by building end-to-end data processing pipelines, starting with data ingestion, cleansing, and integration, through to data visualization and building and operationalizing predictive models.

FORMAT
Paperback CONDITION
Brand New Publisher Description

Get started with distributed computing using PySpark, a single unified framework to solve end-to-end data analytics at scaleKey FeaturesDiscover how to convert huge amounts of raw data into meaningful and actionable insightsUse Spark's unified analytics engine for end-to-end analytics, from data preparation to predictive analyticsPerform data ingestion, cleansing, and integration for ML, data analytics, and data visualizationBook DescriptionApache 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 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 the end of this PySpark book, you'll be able to harness the power of PySpark to solve business you will learnUnderstand the role of distributed computing in the world of big dataGain an appreciation for Apache Spark as the de facto go-to for big data processingScale out your data analytics process using Apache SparkBuild data pipelines using data lakes, and perform data visualization with PySpark and Spark SQLLeverage the cloud to build truly scalable and real-time data analytics applicationsExplore the applications of data science and scalable machine learning with PySparkIntegrate your clean and curated data with BI and SQL analysis toolsWho this book is forThis book is for practicing data engineers, data scientists, data analysts, and data enthusiasts who are already using data analytics to explore distributed and scalable data analytics. Basic to intermediate knowledge of the disciplines of data engineering, data science, and SQL analytics is expected. General proficiency in using any programming language, especially Python, and working knowledge of performing data analytics using frameworks such as pandas and SQL will help you to get the most out of this book.

Table of Contents

Table of Contents

Distributed Computing Primer

Data Ingestion

Data Cleansing and Integration

Real-time Data Analytics

Scalable Machine Learning with PySpark

Feature Engineering

Supervised Machine Learning

Unsupervised Machine Learning

Machine Learning Life Cycle Management

Scaling Out Single-Node Machine Learning Using PySpark

Data Visualization with PySpark

Spark SQL Primer

Integrating External Tools with Spark SQL

The Data Lakehouse

Details ISBN1800568878 Author Sreeram Nudurupati Publisher Packt Publishing Limited Year 2021 ISBN-10 1800568878 ISBN-13 9781800568877 Publication Date 2021-10-29 UK Release Date 2021-10-29 Format Paperback Imprint Packt Publishing Limited Place of Publication Birmingham Country of Publication United Kingdom AU Release Date 2021-10-29 NZ Release Date 2021-10-29 Pages 322 Subtitle A beginner's guide to harnessing the power and ease of PySpark 3 DEWEY 006.312 Audience General Country of Origin US Product Class Description Computing: Textbooks & Study Guides
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