WEBVTT

00:00:28 --> 00:03:04
Modern application stacks and real-time data requirements

00:03:04 --> 00:05:24
High-speed data use cases in financial services

00:05:24 --> 00:08:55
Measuring database latency through high percentiles

00:08:55 --> 00:12:11
Terminology differences between relational and NoSQL databases

00:12:11 --> 00:15:26
Normalization constraints versus nested data aggregations

00:15:26 --> 00:16:54
Handling NoSQL entity associations with batch processing

00:16:54 --> 00:19:19
Meeting CAP theorem consistency rules in distributed clusters

00:19:19 --> 00:21:11
Boosting scale and lowering latency natively with NoSQL

00:21:11 --> 00:23:51
Defining rules and constraints for credit card fraud validation

00:23:51 --> 00:25:38
Live benchmarking database transaction throughput and latency

00:25:38 --> 00:30:20
Integrating a Redis database connection into Java applications

00:30:20 --> 00:34:41
Analyzing relational database bottlenecks during heavy SQL loads

00:34:41 --> 00:40:12
Improving NoSQL performance by bucketing transaction data points

00:40:12 --> 99:59:59
Final takeaways on database selection and community resources