The Kafka Elastic program is a focused, 16–20 hour training designed to equip professionals with end-to-end knowledge of real-time data streaming using Apache Kafka and its seamless integration with Elasticsearch. Through a combination of instructor-led sessions, hands-on labs, and guided use cases, learners will gain practical experience in building scalable data pipelines, managing stream processing, and enabling powerful analytics and monitoring. The course starts with Kafka fundamentals, covering key concepts such as producers, consumers, brokers, topics, partitions, and message delivery guarantees. From there, learners explore real-time streaming workflows and how to architect them for high availability and fault tolerance. The second half of the course focuses on Elasticsearch integration—how to index Kafka data, create dashboards, monitor system performance, and support enterprise-grade analytics. Ideal for engineers, data teams, and IT professionals, this course empowers participants to drive real-time decision-making in their organizations.

There is a growing demand for PySpark professionals in the finance, healthcare, and technology industries. Learning PySpark can open up new career opportunities and increase earning potential for individuals with big data processing and analysis skills. Since PySpark is open-source, it is free to use, modify, and distribute. This has contributed to its popularity, as it has a large and active community of users and contributors constantly improving and enhancing its functionality. While at Florence, aspirants get to learn the latest of Pyspark in data cleaning, processing, analysis, and machine learning. It also supports multiple file formats, including CSV, JSON, and Parquet, making it flexible and adaptable to different data sources and workflows.