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Start 2026 with the ClickHouse India community in Gurgaon!

Connect with fellow data practitioners and hear from industry experts through engaging talks focused on lessons learned, best practices, and modern data challenges.

Agenda:

• 10:30 AM: Registration, light snacks & networking
• 11:00 AM: Welcome & Introductions
• 11:10 AM: Inside ClickStack: Engineering Observability for Scale by Rakesh Puttaswamy, Lead Solutions Architect @ ClickHouse
• 11:35 AM: Supercharging Personalised Notifications At Jobhai With ClickHouse by Sumit Kumar and Arvind Saini, Tech Leads @ Info Edge
• 12:00 PM: Simplifying CDC: Migrating from Debezium to ClickPipes by Abhash Solanki, DevOps Engineer @ Spyne AI
• 12:25 PM: Solving Analytics at Scale: From CDC to Actionable Insights by Kunal Sharma, Software Developer @ Samarth eGov
• 12:50 PM: Q&A
• 1:30 PM: Lunch & Networking

👉🏼 RSVP to secure your spot!

Interested in speaking at this meetup or future ClickHouse events? 🎤Shoot an email to [email protected] and she'll be in touch.

******** 🎤 Session Details: Inside ClickStack: Engineering Observability for Scale Dive deep into ClickStack, ClickHouse’s fresh approach to observability built for engineers who care about speed, scale, and simplicity. We’ll unpack the technical architecture behind how ClickStack handles metrics, logs, and traces using ClickHouse as the backbone for real-time, high-cardinality analytics. Expect a hands-on look at ingestion pipelines, schema design patterns, query optimization, and the integrations that make ClickStack tick.

Speaker: Rakesh Puttaswamy, Lead Solutions Architect @ ClickHouse

🎤 Session Details: Supercharging Personalised Notifications At Jobhai With ClickHouse Calculating personalized alerts for 2 million users is a data-heavy challenge that requires more than just standard indexing. This talk explores how Jobhai uses ClickHouse to power its morning notification pipeline, focusing on the architectural shifts and query optimizations that made our massive scale manageable and fast.

Speaker: Sumit Kumar and Arvind Saini, Tech Leads @ Info Edge Sumit is a seasoned software engineer with deep expertise in databases, backend systems, and machine learning. For over six years, he has led the Jobhai engineering team, driving continuous improvements across their database infrastructure and user-facing systems while streamlining workflows through ongoing innovation. Connect with Sumit Kumar on LinkedIn.

Arvind is a Tech Lead at Info Edge India Ltd with experience building and scaling backend systems for large consumer and enterprise platforms. Over the years, they have worked across system design, backend optimization, and data-driven services, contributing to initiatives such as notification platforms, workflow automation, and product revamps. Their work focuses on improving reliability, performance, and scalability of distributed systems, and they enjoy solving complex engineering problems while mentoring teams and driving technical excellence.

🎤 Session Details: Simplifying CDC: Migrating from Debezium to ClickPipes In this talk, Abhash will share their engineering team's journey migrating our core MySQL and MongoDB CDC flows to ClickPipes. We will contrast our previous architecture—where every schema change required manual intervention or complex Debezium configurations—with the new reality of ClickPipes' automated schema evolution, which seamlessly handles upstream schema changes and ingests flexible data without breaking pipelines.

Speaker: Abhash Solanki, DevOps Engineer @ Spyne AI Abhash serves as a DevOps Engineer at Spyne, orchestrating the AWS infrastructure behind the company's data warehouse and CDC pipelines. Having managed complex self-hosted Debezium and Kafka clusters, he understands the operational overhead of running stateful data stacks in the cloud. He recently led the architectural shift to ClickHouse Cloud, focusing on eliminating engineering toil and automating schema evolution handling.

🎤 Session Details: Solving Analytics at Scale: From CDC to Actionable Insights As SAMARTH’s data volumes grew rapidly, our analytics systems faced challenges with frequent data changes and near real-time reporting. These challenges were compounded by the platform’s inherently high cardinality in multidimensional data models - spanning institutions, programmes, states, categories, workflow stages, and time, resulting in highly complex and dynamic query patterns.

This talk describes how we evolved from basic CDC pipelines to a fast, reliable, and scalable near real-time analytics platform using ClickHouse. We share key design and operational learnings that enabled us to process continuous high-volume transactional data and deliver low-latency analytics for operational monitoring and policy-level decision-making.

Speaker: Kunal Sharma, Software Developer @ Samarth eGov Kunal Sharma is a data-focused professional with experience in building scalable data pipelines. His work includes designing and implementing robust ETL/ELT workflows, data-driven decision engines, and large-scale analytics platforms. At SAMARTH, he has contributed to building near real-time analytics systems, including the implementation of ClickHouse for large-scale, low-latency analytics.

Join our virtual meetup to hear talks from experts on cutting-edge topics across Visual AI for Physical AI use cases.

Date, Time and Location

Dec 11, 2025 9:00-11:00 AM Pacific Online. Register for the Zoom!

From Data to Open-World Autonomous Driving

Data is key for advances in machine learning, including mobile applications like robots and autonomous cars. To ensure reliable operation, occurring scenarios must be reflected by the underlying dataset. Since the open-world environments can contain unknown scenarios and novel objects, active learning from online data collection and handling of unknowns is required. In this talk we discuss different approach to address this real world requirements.

About the Speaker

Sebastian Schmidt is a PhD student at the Data Analytics and Machine Learning group at TU Munich and part of an Industrial PhD Program with the BMW research group. His work is mainly focused on Open-world active learning and perception for autonomous vehicles.

From Raw Sensor Data to Reliable Datasets: Physical AI in Practice

Modern mobility systems rely on massive, high-quality multimodal datasets — yet real-world data is messy. Misaligned sensors, inconsistent metadata, and uneven scenario coverage can slow development and lead to costly model failures. The Physical AI Workbench, built in collaboration between Voxel51 and NVIDIA, provides an automated and scalable pipeline for auditing, reconstructing, and enriching autonomous driving datasets.

In this talk, we’ll show how FiftyOne serves as the central interface for inspecting and validating sensor alignment, scene structure, and scenario diversity, while NVIDIA Neural Reconstruction (NuRec) enables physics-aware reconstruction directly from real-world captures. We’ll highlight how these capabilities support automated dataset quality checks, reduce manual review overhead, and streamline the creation of richer datasets for model training and evaluation.

Attendees will gain insight into how Physical AI workflows help mobility teams scale, improve dataset reliability, and accelerate iteration from data capture to model deployment — without rewriting their infrastructure.

About the Speaker

Daniel Gural leads technical partnerships at Voxel51, where he’s building the Physical AI Workbench, a platform that connects real-world sensor data with realistic simulation to help engineers better understand, validate, and improve their perception systems. With a background in developer relations and computer vision engineering,

Building Smarter AV Simulation with Neural Reconstruction and World Models

This talk explores how neural reconstruction and world models are coming together to create richer, more dynamic simulation for scalable autonomous vehicle development. We’ll look at the latest releases in 3D Gaussian splatting techniques and world reasoning and generation, as well as discuss how these technologies are advancing the deployment of autonomous driving stacks that can generalize to any environment. We’ll also cover NVIDIA open models, frameworks, and data to help kickstart your own development pipelines.

About the Speaker

Katie Washabaugh is NVIDIA’s Product Marketing Manager for Autonomous Vehicle Simulation, focusing on virtual solutions for real world mobility. A former journalist at publications such as Automotive News and MarketWatch, she joined the NVIDIA team in 2018 as Automotive Content Marketing Manager. Katie holds a B.A. in public policy from the University of Michigan and lives in Detroit.

Relevance of Classical Algorithms in Modern Autonomous Driving Architectures

While modern autonomous driving systems increasingly rely on machine learning and deep neural networks, classical algorithms continue to play a foundational role in ensuring reliability, interpretability, and real-time performance. Techniques such as Kalman filtering, A* path planning, PID control, and SLAM remain integral to perception, localization, and decision-making modules. Their deterministic nature and lower computational overhead make them especially valuable in safety-critical scenarios and resource-constrained environments. This talk explores the enduring relevance of classical algorithms, their integration with learning-based methods, and their evolving scope in the context of next-generation autonomous vehicle architectures.

Prajwal Chinthoju is an Autonomous Driving Feature Development Engineer with a strong foundation in systems engineering, optimization, and intelligent mobility. I specialize in integrating classical algorithms with modern AI techniques to enhance perception, planning, and control in autonomous vehicle platforms.

Talk Title: "Governing the Lakehouse: Metadata-Driven Control with Apache Iceberg Catalogs"

Description: Apache Iceberg has redefined how data is stored and queried in modern lakehouses by introducing a table format that supports ACID transactions, time travel, and schema evolution. At the heart of this transformation lies the Iceberg Catalog—a critical component that manages table metadata and connects distributed storage systems with compute engines.

Catalogs play a central role in enabling metadata-driven governance, allowing data teams to enforce consistency, traceability, and access control at scale. In this session, we explore how Iceberg’s metadata model empowers key governance capabilities such as auditability, reproducibility, multi-engine interoperability, and simplified lineage tracking. But while Iceberg provides a solid foundation, essential governance features are still emerging. We'll examine what’s missing today: fine-grained policy enforcement, unified access control, real-time metadata observability, and first-class support for data contracts. As Iceberg adoption grows, evolving the catalog layer will be key to achieving enterprise-grade governance in open lakehouse architectures.

Speaker/Bio: Viktor Kessler Viktor Kessler \| Co-Founder @ Vakamo https://www.linkedin.com/in/viktor-kessler/ & vakamo.com + docs.lakekeeper.io

Open lakehouse ecosystems need more than raw power — they need governance, compatibility and freedom to evolve.

In this forward-thinking session, Viktor Kessler, Co-Founder of Vakamo, breaks down the REST Catalog API of Apache Iceberg. You’ll also meet Lakekeeper, an open-source solution extending the REST standard with metadata-driven policy enforcement.

After Viktor's main talk (45-60 min) there will be about 1,5 hour long R <- Slovakia / R User Group (sub-group of PyData Slovakia) meetup afterwards.

Language of the event: English

Moderator and Host of the event: Radovan Kavický, President & Principal Data Scientist @ GapData Institute; former AI & Data Science Evangelist @ AIslovakIA - National platform for AI development in Slovakia

Registration:

@Meetup.com group's event here (https://www.meetup.com/pydata-slovakia-bratislava/events/307510355/) & @Eventbrite registration here (https://www.eventbrite.com/e/pydata-slovakia-meetup-30-maryam-alimardani-navigating-the-phd-journey-tickets-1341011775319?aff=oddtdtcreator). +our event you can find also @Facebook here (https://www.facebook.com/events/1823801225067220) and LinkedIn here (https://www.linkedin.com/events/7337730825595072513/about/).

[Disclaimer: If you just mark "going" @Facebook event we can't guarantee your seat]

Language of the event: English

PyData Bratislava [Python Data Enthusiasts and Users, Data Scientists & Statisticians of all levels from Slovakia]

-- PyData is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.

The PyData ​Code of Conduct​ governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the organizer or NumFOCUS Executive Director Leah Silen (+1512-222-5449; [email protected]).

Our Facebook group you can find here: https://www.facebook.com/groups/1813599648877946/

Our Twitter account here: https://twitter.com/PyDataBA

Our LinkedIn group here: https://www.linkedin.com/groups/13506080

R <- Slovakia (#RSlovakia) is sub-group of PyData Slovakia (#PyDataSK) & Bratislava (#PyDataBA) and an active place for discussion between R Enthusiasts and Users, Data Scientists, Economists and Statisticians of all levels in Slovakia using R for data analysis and data visualization. Powered by NumFOCUS, The R Foundation & GapData Institute. The goals are to build R community in Slovakia and to provide R enthusiasts a place to share ideas and learn from each other about how best to apply R to ever-evolving challenges in the vast realm of data analytics, management, processing and visualization. We share here interesting articles, links to books or work of others in R you find elsewhere, asking questions you have while working on an R project/visualization, as well as presenting results of your own work in R. On LinkedIn here: https://www.linkedin.com/groups/13503959 On Twitter you can follow us here: https://twitter.com/PyDataBA/

Organizers: GapData Institute (https://www.gapdata.org/) (GDI) is a nonprofit nonpartisan research institution harnessing power of data & wisdom of economics for public good.

\|\| Data. Think. Change. \|\|

NumFOCUS (http://www.numfocus.org/) is a 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific computing. The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research.

We are excited to finally have the first ClickHouse Meetup in the vibrant city of Delhi! Join the ClickHouse crew, from Singapore and from different cities in India, for an engaging day of talks, food, and discussion with your fellow database enthusiasts.

But here's the deal: to secure your spot, make sure you register ASAP!

🗓️ Agenda:

• 10:30 AM: Registration & Networking
• 11:05 AM: Welcome & Opening
• 11:10 AM: Introduction to ClickHouse by Rakesh Puttaswamy, Solution Architect @ ClickHouse
• 11:25 AM: ClickPipes Overview and demo by Kunal Gupta, Sr. Software Engineer @ ClickHouse
• 11:40 AM: Optimizing Log Management with Clickhouse: Cost-Effective & Scalable Solutions by Pushpender Kumar, DevOps Architect @ OLX India
• 12:10 PM: ClickHouse at Physics Wallah: Empowering Real-Time Analytics at Scale by Utkarsh G. Srivastava, Software Development Engineer III @ Physics Wallah
• 12:40 PM: FabFunnel & ClickHouse: Delivering Real-Time Marketing Analytics by Anmol Jain, SDE-2 (Full stack Developer) and Siddhant Gaba, SDE-2 (Python), @ Idea Clan
• 1:10 PM: From SQL to AI: Building Intelligent Applications with ClickHouse and LangDB by Matteo Pelati, Co-founder, LangDB.ai
• 1:40 PM: Lunch & Networking

If anyone from the community is interested in sharing a talk at future meetups, complete this CFP form and we’ll be in touch. _______

🎤 Session Details: Introduction to ClickHouse Discover the secrets behind ClickHouse's unparalleled efficiency and performance. Johnny will give an overview of different use cases for which global companies are adopting this groundbreaking database to transform data storage and analytics.

Speaker: Rakesh Puttaswamy, Solution Architect @ ClickHouse Rakesh Puttaswamy is a Solution Architect with ClickHouse, working with users across India, with over 12 years of experience in data architecture, big data, data science, and software engineering.Rakesh helps organizations design and implement cutting-edge data-driven solutions. With deep expertise in a broad range of databases and data warehousing technologies, he specializes in building scalable, innovative solutions to enable data transformation and drive business success.

🎤 Session Details: ClickPipes Overview and demo ClickPipes is a powerful integration engine that simplifies data ingestion at scale, making it as easy as a few clicks. With an intuitive onboarding process, setting up new ingestion pipelines takes just a few steps—select your data source, define the schema, and let ClickPipes handle the rest. Designed for continuous ingest, it automates pipeline management, ensuring seamless data flow without manual intervention. In this talk, Kunal will demo the Postgres CDC connector for ClickPipes, enabling seamless, native replication of Postgres data to ClickHouse Cloud in just a few clicks—no external tools needed for fast, cost-effective analytics.

Speaker: Kunal Gupta, Sr. Software Engineer @ ClickHouse Kunal Gupta is a Senior Software Engineer at ClickHouse, joining through the acquisition of PeerDB in 2024, where he played a pivotal role as a founding engineer. With several years of experience in architecting scalable systems and real-time applications, Kunal has consistently driven innovation and technical excellence. Previously, he was a founding engineer for new solutions at ICICIdirect and at AsknBid Tech, leading high-impact teams and advancing code analysis, storage solutions, and enterprise software development.

🎤 Session Details: Optimizing Log Management with Clickhouse: Cost-Effective & Scalable Solutions Efficient log management is essential in today's cloud-native environments, yet traditional solutions like ElasticSearch often face scalability issues, high costs, and performance limitations. This talk will begin with an overview of common logging tools and their challenges, followed by an in-depth look at ClickHouse's architecture. We will compare ClickHouse with ElasticSearch, focusing on improvements in query performance, storage efficiency, and overall cost-effectiveness.

A key highlight will be OLX India's migration to ClickHouse, detailing the motivations behind the shift, the migration strategy, key optimizations, and the resulting 50% reduction in log storage costs. By the end of this talk, attendees will gain a clear understanding of when and how to leverage ClickHouse for log management, along with best practices for optimizing performance and reducing operational costs.

Speaker: Pushpender Kumar, DevOps Architect @ OLX India Born and raised in Bijnor, moved to Delhi to stay ahead in the race of life. Currently working as a DevOps Architect at OLX India, specializing in cloud infrastructure, Kubernetes, and automation with over 10 years of experience. Successfully optimized log storage costs by 50% using Clickhouse, bringing scalability and efficiency to large-scale logging systems. Passionate about cloud optimization, DevOps hiring, and performance engineering.

🎤 Session Details: ClickHouse at Physics Wallah: Empowering Real-Time Analytics at Scale This session explores how Physics Wallah revolutionized its real-time analytics capabilities by leveraging ClickHouse. We'll delve into the journey of implementing ClickHouse to efficiently handle large-scale data processing, optimize query performance, and power diverse use cases such as user activity tracking and engagement analysis. By enabling actionable insights and seamless decision-making, this transformation has significantly enhanced the learning experience for millions of users.

Today, more than five customer-facing products at Physics Wallah are powered by ClickHouse, serving over 10 million students and parents, including 1.5 million Daily Active Users. Our in-house ClickHouse cluster, hosted and managed within our EKS infrastructure on AWS Cloud, ingests more than 10 million rows of data daily from various sources. Join us to learn about the architecture, challenges, and key strategies behind this scalable, high-performance analytics solution.

Speaker: Utkarsh G. Srivastava, Software Development Engineer III @ Physics Wallah As a versatile Software Engineer with over 7 years of experience in the IT industry, I have had the privilege of taking on diverse roles, with a primary focus on backend development, data engineering, infrastructure, DevOps, and security. Throughout my career, I have played a pivotal role in transformative projects, consistently striving to craft innovative and effective solutions for customers in the SaaS space.

🎤 Session Details: FabFunnel & ClickHouse: Delivering Real-Time Marketing Analytics We are a performance marketing company that relies on real-time reporting to drive data-driven decisions and maximize campaign effectiveness. As our client base expanded, we encountered significant challenges with our reporting system—frequent data updates meant handling large datasets inefficiently, leading to slow query execution and delays in delivering insights. This bottleneck hindered our ability to provide timely optimizations for ad campaigns. To address these issues, we needed a solution that could handle rapid data ingestion and querying at scale without the overhead of traditional refresh processes. In this talk, we’ll share how we transformed our reporting infrastructure to achieve real-time insights, enhancing speed, scalability, and efficiency in managing large-scale ad performance data.

Speakers: Anmol Jain, SDE-2 (Full stack Developer), & Siddhant Gaba, SDE-2 (Python) @ Idea Clan From competing as a national table tennis player to building high-performance software, Anmol Jain brings a unique mix of strategy and problem-solving to tech. With 3+ years of experience at Idea Clan, they play a key role in scaling Lookfinity and FabFunnel, managing multi-million-dollar ad spends every month. Specializing in ClickHouse, React.js, and Node.js, Anmol focuses on real-time data processing and scalable backend solutions. At this meet-up, they’ll share insights on solving reporting challenges and driving real-time decision-making in performance marketing.

Siddhant Gaba is an SDE II at Idea Clan, with expertise in Python, Java, and C#, specializing in scalable backend systems. With four years of experience working with FastAPI, PostgreSQL, MongoDB, and ClickHouse, he focuses on real-time analytics, database optimization, and distributed systems. Passionate about high-performance computing, asynchronous APIs, and system design, he aims to advance real-time data processing. Outside of work, he enjoys playing volleyball. At this meetup, he will share insights on how ClickHouse transformed real-time reporting and scalability.

🎤 Session Details: From SQL to AI: Building Intelligent Applications with ClickHouse and LangDB As AI becomes a driving force behind innovation, building applications that seamlessly integrate AI capabilities with existing data infrastructures is critical.

In this session, we explore the creation of agentic applications using ClickHouse and LangDB. We will introduce the concept of an AI gateway, explaining its role in connecting powerful AI models with the high-performance analytics engine of ClickHouse. By leveraging LangDB, we demonstrate how to directly interact with AI functions as User-Defined Functions (UDFs) in ClickHouse, enabling developers to design and execute complex AI workflows within SQL.

Additionally, we will showcase how LangDB facilitates deep visibility into AI function behaviors and agent interactions, providing tools to analyze and optimize the performance of AI-driven logic. Finally, we will highlight how ClickHouse, powered by LangDB APIs, can be used to evaluate and refine the quality of LLM responses, ensuring reliable and efficient AI integrations.

Speaker: Matteo Pelati, Co-founder, LangDB.ai Matteo Pelati is a seasoned software engineer with over two decades of experience, specializing in data engineering for the past ten years. He is the co-founder of LangDB, a company based in Singapore building the fastest Open Source AI Gateway. Before founding LangDB, he was part of the early team at DataRobot, where he contributed to scaling their product for enterprise clients. Subsequently, he joined DBS Bank where he built their data platform and team from the ground up. Prior to starting LangDB, Matteo led the data group for Asia Pacific and data engineering at Goldman Sachs.

** Important RSVP here (Due to room capacity and building security, you must pre-register at the link for admission.)

Description: Welcome to our in-person AI meetup in New York. Join us for deep dive tech talks on AI, GenAI, LLMs and ML, hands-on workshops, food/drink, networking with speakers and fellow developers.

Tech Talk: Agentic and Compound AI Done Right Speaker: Rob Cheung (Substrate) Abstract: This talk will cover the ins and outs of running multi-model workloads at scale. Learn about the latest techniques and frameworks to ensure your AI programs run fast and efficiently. Participate in a hands-on workshop that showcases practical applications of the concepts discussed in the talk. Gain insights into optimizing your AI workflows and see real-world examples in action.

Tech Talk: AI-Driven Insights: Enhancing Product Search and Analytics Speaker: Justin Strnatko (SingleStore) Abstract: Learn how AI can transform product search and streamline data analysis. This presentation will demonstrate the power of AI-driven insights to improve efficiency and support informed decision-making.

Tech Talk: Human Pose Estimation in Real-Time Utilizing Edge AI Accelerated Hardware Speaker: Tim Spann (Zilliz) Abstract: Utilizing a Hailo AI Acceleration Module with a Raspberry Pi 5 device we will process real-time video streams from an edge camera and store real-time results in a vector database and send messages to Slack channels. We will show you how to build Edge AI applications that can stream unstructured data to the cloud or store it locally in a local Vector database. We will run a live demo of a neural network inference accelerator capable of 13 tera-operations per second (TOPS).

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in New York or 350K+ worldwide.

Community on Slack/Discord

• Event chat: chat and connect with speakers and attendees
• Sharing blogs, events, job openings, projects collaborations

💻📝🎟️ 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! 🚀🎉🌐