Modernize your database with Confluent and Amazon RDS (PRT215)
summary
Migrates on‑prem Oracle and RabbitMQ events into Amazon Aurora Postgres using Confluent Cloud on AWS, running an Oracle CDC source premium connector with SMT masking for PII, merging streams in ksqlDB with a two‑hour tumbling window to produce a possible_stolen_card table, then writing results with a Postgres sink connector into Aurora; demo shows end‑to‑end realtime fraud detection working, notes 120+ connectors, serverless Aurora claims ~90% cost saving and a $400 Confluent Cloud trial.
AI-written summary · about
chapters (15)
- 0:00Intro
- 2:08Modern, cloud-native databases power business-critical applications with lower operational overhead
- 5:49Integrating multiple legacy systems to the cloud could be a complex multi-year process
- 7:08Easily modernize your database by integrating Legacy with the cloud using Confluent
- 8:16A new paradigm is required for data in motion
- 18:54A cost-effective enterprise database...
- 20:39Aurora architecture
- 23:00Aurora core features
- 28:24Understanding the architecture: AWS
- 29:31Three-phase plan
- 33:25Modernize and bridge your entire data architecture with Confluent's robust connector portfolio
- 35:213 modalities of stream processing with Confluen
- 38:36Built on the best technology, available as a fully managed service
- 44:53Fintech start-up: Acela Loans
- 45:52The Implementation
related talks
39mAWS Aurora
19mPostgreSQL at Amazon
23mCCC Intelligent Solutions Achieves Improved Efficiency with Oracle to AWS PostgreSQL
30mAccelerate Modernization with Confluent and YugabyteDB
28mGet started with Amazon Aurora DSQL
21mSave, Grow and Innovate using AWS Databases
18mPostgreSQL at Amazon
26mIntroduction to AWS databases: Modernize your data infrastructure