Apache Kafka® + Apache Flink® = A powerful combination for stream processing!

Our friends from Microsoft Azure User Group - Chennai will be hosting this fun and informative meetup!

***To register please visit this page: https://www.meetup.com/chennai-microsoft-azure-user-group/events/298862499/ ***

## Details below:

RSVP here and fill in this forms for confirmation => https://forms.gle/XWyQCvYkd2H8or4A7

• Target Audience => Data & AI professionals, Developers
• Level => Intermediate to Advanced

Join us to learn how Generation AI can significantly enhance the daily work of data engineers and drive innovation in the field.

1. Session by Jegan from Confluent
Title:
Kafka + Flink = A powerful combination for stream processing!

Description:
- When combined, Kafka and Flink create a powerful ecosystem for stream processing. Kafka efficiently manages the data pipeline, ensuring that large volumes of data are quickly and reliably made available. Flink then processes this data in real-time, applying complex transformations, aggregations, and analytics. This combination is particularly beneficial for applications requiring real-time monitoring, fraud detection, personalized recommendations, and other scenarios where speed and accuracy are critical.
- In this session, we will witness how Kafka and Flink form an exceptional combination, demonstrated through practical demos using Confluent Kafka and Flink."

About Jegan:
- Senior Technical Architect, Confluent
- LinkedIn - https://www.linkedin.com/in/pnjegan/

2. Session by Ganesh from Philips
Title:
Data Alchemy: Exploring the Symbiosis of Gen AI for Data Engineers

Description:
- In today’s world, Generative AI presents a remarkable opportunity for improvement and innovation. As data engineers, it is crucial for us to prepare for the adoption of Gen AI.
- This session aims to provide insights into how Gen AI technologies can revolutionise our day-to-day tasks, spanning from data collection and cleaning to analysis and visualisation.
- The presentation will demonstrate the potential for AI to streamline processes, automate repetitive tasks, and uncover valuable insights, ultimately enhancing the efficiency and effectiveness of data engineering.

About Ganesh:
- Data Engineering Leader. Integrated Supply Chain. Digital CoE & AI Analytics at Philips.
- LinkedIn - https://www.linkedin.com/in/ganeshkaliappan/

3. Session by Prashanth K from Kissflow
Title:
Decoding Modern Databases: An Exploration of OLTP, OLAP

Description:
- Exploration of OLTP, OLAP - unraveling the intricate layers of these pivotal database architectures.
- Delve into the core of Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems and how Hybrid Transactional Analytical Processing (HTAP) systems evolve.
- HTAP offers the agility to handle both transactional and analytical workloads concurrently, fostering a more responsive and efficient data processing environment.

About Prashanth K:
- A decade of experience in the field of software development, demonstrating a deep understanding and expertise in various software technologies, methodologies, and practices.
- Setting up data architecture, showcasing the ability to design and implement effective data systems.
- Currently in Research and development related to data engineering.
- LinkedIn - https://www.linkedin.com/in/sri-prashanth-k-283aaa66/

4. Panel discussion with all 3 speakers being moderated by Prasana
Theme:
Exploring Data Engineering: Challenges, Solutions, and Future Trends

Details:
Questions will be aroud key topics, trends, and challenges in the field. Goal will be to cover areas like data infrastructure, data management strategies, or advancements in data processing technologies. The session would likely include a Q&A segment, allowing the audience to gain insights directly from industry professionals.

About Prasana:
- With over 20 years of multifaceted leadership, Prasana excels in problem-solving and critical thinking, specializing in the strategic enhancement of effectiveness across engineering, operations, strategy, product management, and customer experience-service-success domains.
- LinkedIn - https://www.linkedin.com/in/prasana/