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Optimizing Databricks Workloads

You're reading from   Optimizing Databricks Workloads Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads

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Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781801819077
Length 230 pages
Edition 1st Edition
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Authors (3):
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Anshul Bhatnagar Anshul Bhatnagar
Author Profile Icon Anshul Bhatnagar
Anshul Bhatnagar
Sarthak Sarbahi Sarthak Sarbahi
Author Profile Icon Sarthak Sarbahi
Sarthak Sarbahi
Anirudh Kala Anirudh Kala
Author Profile Icon Anirudh Kala
Anirudh Kala
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Toc

Table of Contents (13) Chapters Close

Preface 1. Section 1: Introduction to Azure Databricks
2. Chapter 1: Discovering Databricks FREE CHAPTER 3. Chapter 2: Batch and Real-Time Processing in Databricks 4. Chapter 3: Learning about Machine Learning and Graph Processing in Databricks 5. Section 2: Optimization Techniques
6. Chapter 4: Managing Spark Clusters 7. Chapter 5: Big Data Analytics 8. Chapter 6: Databricks Delta Lake 9. Chapter 7: Spark Core 10. Section 3: Real-World Scenarios
11. Chapter 8: Case Studies 12. Other Books You May Enjoy

Learning case studies from the retail and FMCG industry

Data is more important than ever for the retail and FMCG industry. It can be very helpful for maintaining a lean inventory. In addition, data is critical for optimizing the prices of products on demand. Also, a data-driven approach can boost relationships with business partners, thereby helping to smoothen the supply chain.

Case study 6 – real-time analytics using IoT Hub for a retail giant

An organization wanted to build an end-to-end solution wherein edge devices gathered metrics at a certain frequency from all the instruments on the floor shop. These metrics were to be utilized to conduct edge analytics for real-time issues. Thereon, the data would be pushed to a cloud platform where near-real-time data transformations would be done and delivered to a dashboard for visualization. The same data would be persisted for batch processing and leveraged machine learning to gain insights.

The proposed solution architecture...

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