Time Series Analysis with Spark. A practical guide to forecasting, processing, and modeling time series data with Apache Spark - Helion
Tytuł oryginału: Time Series Analysis with Spark. A practical guide to forecasting, processing, and modeling time series data with Apache Spark
ISBN: 9781803247175
Format: ebook
Księgarnia: Helion
Cena książki: 139,00 zł
Książka będzie dostępna od lutego 2025
Written by Yoni Ramaswami, a globally recognized Databricks Senior Architect 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, preparing you to tackle real-world challenges with confidence.
From preparing and processing large-scale time series datasets to building sophisticated 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, and leveraging Spark's latest features for cutting-edge applications across industries. Packed with hands-on examples and industry-relevant case studies, 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—equipping you to excel in the rapidly evolving world of big data analytics.
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Spis treści
Time Series Analysis with Spark. A practical guide to forecasting, processing, and modeling time series data with Apache Spark eBook -- spis treści
- 1. What Are Time Series
- 2. Why Time Series Analysis Matters
- 3. What is Apache Spark and Why Is It Used?
- 4. End-to-End View of a Time Series Analysis Project
- 5. Data Preparation
- 6. Exploratory Data Analysis
- 7. Building and Testing Models
- 8. Going at Scale
- 9. Going to Production
- 10. Going Further with Apache Spark
- 11. Recent Developments in Time Series Analysis