Time Series Analysis with Spark A practical guide to processing, modeling, and forecasting time series with Apache Spark

[bookbestseller]

Time Series Analysis with Spark
by Yoni Ramaswami
English | 2025 | ISBN: 1803232250 | 298 pages | True/Retail PDF EPUB | 31.2 MB

Master the fundamentals of time series analysis with Apache Spark and Databricks and uncover actionable insights at scale
Key Features
Quickly get started with your first models and explore the potential of Generative AI
Learn how to use Apache Spark and Databricks for scalable time series solutions
Establish best practices to ensure success from development to production and beyond
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Written by Databricks Senior Solutions Architect Yoni Ramaswami, whose expertise in Data and AI has shaped innovative digital transformations across industries, this comprehensive guide bridges foundational concepts of time series analysis with the Spark framework and Databricks, preparing you to tackle real-world challenges with confidence.
From preparing and processing large-scale time series datasets to building reliable models, this book offers practical techniques that scale effortlessly for big data environments. You'll explore advanced topics such as scaling your analyses, deploying time series models into production, Generative AI, and leveraging Spark's latest features for cutting-edge applications across industries. Packed with hands-on examples and industry-relevant use cases, this guide is perfect for data engineers, ML engineers, data scientists, and analysts looking to enhance their expertise in handling large-scale time series data.
By the end of this book, you'll have mastered the skills to design and deploy robust, scalable time series models tailored to your unique project needs-qualifying you to excel in the rapidly evolving world of big data analytics.
What you will learn
Understand the core concepts and architectures of Apache Spark
Clean and organize time series data
Choose the most suitable modeling approach for your use case
Gain expertise in building and training a variety of time series models
Explore ways to leverage Apache Spark and Databricks to scale your models
Deploy time series models in production
Integrate your time series solutions with big data tools for enhanced analytics
Leverage GenAI to enhance predictions and uncover patterns
Who this book is for
If you are a data engineer, ML engineer, data scientist, or analyst looking to enhance your skills in time series analysis with Apache Spark and Databricks, this book is for you. Whether you're new to time series or an experienced practitioner, this guide provides valuable insights and techniques to improve your data processing capabilities. A basic understanding of Apache Spark is helpful, but no prior experience with time series analysis is required.
Table of Contents
What Are Time Series
Why Time Series Analysis?
Introduction to Apache Spark
End-to-End View of a Time Series Analysis Project
Data Preparation
Exploratory Data Analysis
Building and Testing Models
Going at Scale
Going to Production
Going Further with Apache Spark
Recent Developments in Time Series Analysis

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