Big Data Week

Why does data validation matter so much in CDC streaming pipelines? Roberto Comsa, Data Engineer at eSolutions.tech, will explore this scenario through real production systems.

Working with NiFi, Kafka, Spark, Delta Lake, and MinIO, he’ll walk through how CDC data flows from ingestion to consumption and how small issues in streaming pipelines can quietly impact data quality over time. The focus will be on practical validation strategies, early detection of drift, and building trust in continuously moving data.

📍 June 9 | ING Hubs Romania

🎟️ Free entry

👉 Looking to join? More details and RSVP here: https://www.meetup.com/bucharest-big-data-meetup/events/314642829

How do you enable real-time data flows across on-prem and cloud systems, without breaking consistency or scalability?

During their session, Catalin Duta (DevOps Engineer) and Anamaria Lauric (Chapter Lead Engineer) from ING Hubs Romania will explore exactly that. They’ll share how modern streaming platforms help bridge hybrid environments, enabling continuous data movement and supporting both operational and analytical use cases.

Expect practical insights on:
• building real-time and near-real-time data pipelines
• working across on-prem and cloud systems
• designing scalable, streaming-first architectures

📍 June 9 | ING Hubs Romania
👉 Interested in joining? You can find all details and RSVP (free attendance) here: https://www.meetup.com/bucharest-big-data-meetup/events/314642829

Real-time streaming in hybrid environments will be the focus of the next Bucharest Big Data Meetup, with talks from ING Hubs Romanias Romania and esolutions.tech.
🔵 Catalin Duta, DevOps Engineer, and Anamaria Lauric, Chapter Lead Engineer at ING Hubs Romania, will share how they’ve enabled real-time and near-real-time data flows between on-premise and cloud systems, and how streaming platforms support scalable analytics and operational use cases.
🔵 Roberto Comsa, Data Engineer at eSolutions, will share practical lessons learned from building CDC streaming pipelines with NiFi, Kafka, Spark, Delta Lake, and MinIO, focusing on data validation, observability, and maintaining trust in production data systems.
🗓️ Tuesday, June 9
📍 ING Hubs Romania, 174-176 Calea Victoriei
🕡 18:30
The event is free to attend, just make sure to RSVP on the meetup platform: https://www.meetup.com/bucharest-big-data-meetup/events/314642829

Reliable Data Streaming in Hybrid Environments, Tue, Jun 9, 2026, 6:30 PM | Meetup Join us on **Tuesday, June 9**, for a new edition of Bucharest Big Data meetup, on real-time data streaming in hybrid environments - from on-prem pipelines to cloud systems

Next up, we're welcoming Diana Streche , Senior BI Engineer at Adore Me! Diana is sharing a hands-on case study on how Adore Me brings analytics data closer to real-time using a powerful Google Cloud setup. She's covering:
🔹 Reducing end-to-end latency with BigQuery, Cloud Run Functions, Orchestrator, and Pub/Sub
🔹 A practical GA4 data pipeline illustration
🔹 Strategies for balancing data freshness and avoiding staleness

We're live from ING Hubs Romania, our fantastic hosts for tonight's Bucharest Big Data meetup! The focus: real-time streaming & analytics. First up, we have Alex Campos, Senior Solutions Engineer at Ververica, taking the stage and introducing Apache Fluss, The Hero of Data City. 🦸‍♂️

Alex is diving into how Fluss acts as a streaming storage layer, making data immediately queryable and simplifying complex architectures. We're learning about:
🔹 How Fluss complements message queues for sustainable real-time data platforms
🔹 Reducing duplication, cost, and architectural complexity
🔹 Leveraging schema-first tables, native record mutation, and columnar storage

See you Thursday, February 26, at the Big Data Bucharest Meetup for an evening focused on practical, (near) real-time data architectures!

Here’s what to look forward to:

🔵Alex Campos (Ververica): Apache Fluss - making streaming data immediately queryable (tables on streams, updates/mutations, simpler real-time pipelines)
🔵Diana Streche (Adore Me): Near real-time GA4 analytics on Google Cloud (Pub/Sub, Cloud Run Functions, BigQuery + orchestration) and the lessons learned

Be sure to arrive early for some networking, too!

As always, attendance is free, but RSVP is required:: https://www.meetup.com/bucharest-big-data-meetup/events/313112679/

Real-Time Streaming and Analytics, Thu, Feb 26, 2026, 6:30 PM | Meetup Join us on Thursday, February 26, for the first 2026 edition of Bucharest Big Data meetup, focused on real-time streaming. First, [Alex Campos](https://www.linkedin.com/in/

How do you cut analytics latency from hours to minutes for product teams, without turning your pipeline into a fragile maze of jobs? What are the practical trade-offs when moving GA4 event data through Pub/Sub into BigQuery, and where do Cloud Run Functions and orchestration fit best?

Join us on Thursday, February 26, at the next Big Data Bucharest Meetup to learn how Adore Me brings analytics data closer to real time. Diana Streche, Senior BI Engineer, will walk us through their Google Cloud setup (BigQuery, Pub/Sub, Cloud Run Functions, and an orchestrator) and the lessons learned from building a near real-time GA4 data pipeline.

Don’t forget to RSVP on https://www.meetup.com/bucharest-big-data-meetup/events/313112679/