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💻📝🎟️ IMPORTANT: To secure your spot, registration is mandatory. Please register for the event at the Big Data LDN website: https://bigdataldn.com/register.

Join us for a special event at Big Data LDN as we delve into the fascinating world of Fast Data and Apache Kafka. This meetup will focus on the critical role Kafka plays in enabling real-time data movement and how we move between slow and fast data systems.

🌐 Our expert speakers will take the stage to discuss the challenges and solutions associated with real-time data processing. Discover how businesses are transitioning from traditional batch data processing to harnessing the power of real-time insights for better decision-making and agility.

Date and Time: 🗓️ September 20th, ⏰ 6:00 PM - 9:00 PM 🕘

Venue: 🏟️ Fast Data Theatre, Big Data LDN, Olympia, Olympia Way, London W14 8UX

Event Theme: 🌐 Exploring Fast Data with Kafka - Moving from Batch to Real-Time

Attending Brands: OSO, Quix, Aerospike

Networking: Pizza + Beer at the end

Schedule: 18:00 - 18:15 Registration 18:15 - 18:20 Kick-off - Richard 18:20 - 19:00 Talk 1: Quix (including Q&A - hosted by OSO) 19:00 - 19:15 Break 19:15 - 19:45 Talk 2: Aerospike (including Q&A - hosted by OSO) 19:45 - 20:30 Networking (Pizza & Beer)

🎙️ \~Talk 1\~ Talk Title: Dr. Streamlove, or: How I Learned to Stop Batching and Love the Stream

Summary: The suggestion of adopting streaming technologies usually receives undue resistance in organisations. In the past, there was a high barrier to entry for technologies such as Apache Kafka. Today a modern application team can use their preferred programming language with a variety of managed platforms and open source libraries, such as Quix. Join us as we show you how to approach streaming adoption with a modern mindset.

Key talk takeaways:

• Introduction to batch and stream concepts.
• Batch mindset vs stream mindset.
• Common reasons for resisting the adoption of streaming technologies.
• Recognising the signs that moving to streaming will be beneficial.
• How to take the first steps in adopting streaming technologies.

🗣️ Speaker: Tun Shwe - VP of Data at Quix

Tun is focused on helping companies imagine and execute their strategic data vision with stream processing at the forefront. He was previously a Head of Data and Data Engineer at high growth startups and has spent his career building and leading T-shaped teams in developing analytics platforms and data-intensive AI applications.

🎙️ \~Talk 2\~ Talk Title: Unlocking the Power: Design Patterns in Streaming-Enabled Database Technologies

Summary: In the realm of Data-Intensive applications, Data Streaming and Data Persistence are indispensable pillars. Streaming-enabled databases, such as Aerospike, offer reusable solutions to tackle the common integration challenges that often arise between Databases, Streaming Technologies, and Microservices. Join us in this presentation as we delve deep into these design patterns.

Key talk takeaways:

• Understanding the concept of design patterns.
• Insight into Streaming-enabled databases.
• Recognizing typical integration issues between Data Streaming and Data Persistence technologies.
• Multiple design patterns to solve these common integration problems.

🗣️ Speaker: Behrad Babaee - Technology Evangelist at Aerospike

Behrad possesses expertise in building high-performance, low-latency, and hyper-scale data-intensive solutions. With a remarkable track record, he has architected and implemented solutions for prestigious financial institutions, multimedia conglomerates, and telecommunication behemoths, all of which have consistently maintained operational excellence over prolonged periods.

🎤🎤🎤 Apart from insightful talks, the event will include ample time for Q&A sessions, providing you with the opportunity to interact with the speakers and gain deeper insights into the topics discussed. Additionally, take advantage of the networking session to connect with like-minded data enthusiasts, industry professionals, and Kafka aficionados. 🤝🌐🚀

Don't miss out on this exciting event! All data enthusiasts interested in Apache Kafka are welcome to attend. 📈📊📚

Registration Information:

To secure your spot, registration is mandatory. Please register for the event at the Big Data LDN website: https://bigdataldn.com/register. Please note that attendees who have not registered through this link will not be accepted, so ensure you complete the registration process to reserve your place. 💻📝🎟️

Join us at the Big Data LDN X Kafka Meetup London Special Event and immerse yourself in the exciting world of Fast Data and Kafka-powered real-time data processing. We look forward to seeing you there! 🚀🎉🌐