Time Series Analysis with Spark
eBook Details:
- Paperback: 298 pages
- Publisher: WOW! eBook (March 28, 2025)
- Language: English
- ISBN-10: 1803232250
- ISBN-13: 978-1803232256
eBook Description:
Time Series Analysis with Spark: A practical guide to processing, modeling, and forecasting time series with Apache Spark. Master the fundamentals of time series analysis with Apache Spark and Databricks and uncover actionable insights at scale.
Written by Databricks Senior Solutions Architect Yoni Ramaswami, whose expertise in Data and AI has shaped innovative digital transformations across industries, this Time Series Analysis with Spark 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.
- 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
By the end of this Time Series Analysis with Spark 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.