Real-Time Data Analytics with Apache Kafka and Spark.pptx

Delivered at the Data Science Conference 2021, this presentation covers building scalable data pipelines for real-time analytics using Apache Kafka and Spark. It includes an overview of both technologies, the architecture of scalable data pipelines, real-time data processing techniques, and optimization strategies. Case studies from financial services and retail industries illustrate practical applications and benefits.

1.  Real-Time Data Analytics with Apache Kafka and Spark  Data Science Conference, 2021 Presenter: Cora Jones

2.  Introduction

3. Overview of Apache Kafka and Spark

4. Building Scalable Data Pipelines

5. Real-Time Data Processing

6. Case Studies

7. Conclusion