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WeAreDevelopers LIVE • Nov 10, 2023

Leveraging Real time data in FSIs

Tim Faulkes

Traditional SQL schemas throttle high-throughput financial systems under heavy loads. Discover how intelligent NoSQL aggregation drops real-time transaction latency to sub-millisecond ranges.

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#1 about 3 min

Modern application stacks and real-time data requirements

How developers structure scalable microservice architectures while historically underestimating database performance in real-time use cases.

#2 about 3 min

High-speed data use cases in financial services

Faster dataset ingestion gives fraud, risk, and compliance algorithms more time to execute sophisticated real-time decisions.

#3 about 4 min

Measuring database latency through high percentiles

Why analyzing the ninety-ninth latency percentile matters far more than average response times for high-volume database performance.

#4 about 4 min

Terminology differences between relational and NoSQL databases

Comparing how structured SQL systems and unstructured NoSQL stores handle schemas, namespaces, and records.

#5 about 4 min

Normalization constraints versus nested data aggregations

How embedding related entity sets inside a single NoSQL object eliminates complex database joins and index reads.

#6 about 2 min

Handling NoSQL entity associations with batch processing

Retrieving multiple independent objects efficiently by performing parallel cluster batch reads across separated node distributions.

#7 about 3 min

Meeting CAP theorem consistency rules in distributed clusters

Why distributed databases must choose between availability and system consistency during node network partitions.

#8 about 2 min

Boosting scale and lowering latency natively with NoSQL

Large-scale fraud and identity platforms achieve microsecond latencies by shifting workloads from caching tiers to memory-optimized platforms.

#9 about 3 min

Defining rules and constraints for credit card fraud validation

Setting tight millisecond execution windows to scan vast user transaction histories against deep learning fraud models.

#10 about 2 min

Live benchmarking database transaction throughput and latency

Testing thread concurrency limits by pumping simulated credit swipe data into a relational testing container.

#11 about 5 min

Integrating a Redis database connection into Java applications

Extending a custom Spring application test harness by injecting and configuring a new in-memory NoSQL interface.

#12 about 5 min

Analyzing relational database bottlenecks during heavy SQL loads

Relational cache warmup requirements cause dramatic latency spikes that quickly violate strict real-time query deadlines.

#13 about 6 min

Improving NoSQL performance by bucketing transaction data points

Restructuring event histories into distinct time-based bins minimizes scatter-gather index scans and parallelizes drive reads.

#14 about 2 min

Final takeaways on database selection and community resources

Exploring custom database architectures is necessary because there is no universal engine suited for every enterprise data problem.

Matching moments

3:29 min

Practical use cases for unified transactional and analytical databases

Oleksandra Bovkun Oleksandra Bovkun · Europe 2026 Virtual

3:16 min

Q&A on database vendor lock-in and alternative architectural choices

George Asafev · World Congress 2023

2:18 min

Comparing PostgreSQL and DynamoDB for read-heavy storage

George Asafev · World Congress 2023

1:32 min

Understanding fast, accurate, and big data store trade-offs

Philipp Krenn · World Congress 2022

4:14 min

Recognizing architectural drivers pushing event streaming system adoption

Mary Grygleski Mary Grygleski · LIVE

6:41 min

Audience questions on databases, freeze modes, and monitoring

Cheng Zhang · LIVE

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Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 24, 2026 · 14:10–14:40

Stage 3

Real-Time Data Platforms at Trillion-Event Scale

Diptamay Sanyal

Principal Engineer | Data, AI & Cybersecurity Platforms

Diptamay Sanyal
Open session

World Congress 2026 North America

September 24, 2026 · 12:50–13:20

Stage 3

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Senior Vice President of Research and Development

Wei Hu
Open session

World Congress 2026 North America

September 24, 2026 · 14:50–15:20

Stage 2

Databases in the Agent Era

Monica Sarbu

Founder and CEO of xata.io

Monica Sarbu
Open session

World Congress 2026 North America

September 25, 2026 · 09:00–09:30

Stage 7

AI Agents are Only as Smart as their Context: Building a Real-Time Context Engine at Intuit

Bharat Patel

Lead Software Engineer at Intuit

Bharat Patel
Open session

World Congress 2026 North America

September 24, 2026 · 15:30–16:00

Stage 2

KV Cache Is Not About Speed: It's About Surviving Inference Costs

David vonThenen

AI/ML Leader | Keynote Speaker | OSS Engineer & Developer Advocate | Agentic AI, Deep Learning, Production AI | Python, Go, C++

David vonThenen
Open session

World Congress 2026 North America

September 24, 2026 · 14:10–14:40

Stage 1

Anatomy of an AI Request: Where Latency and Cost Are Really Born

Dan Fu

VP of Kernels at Together AI

Dan Fu

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