Teaching databases to learn in the world of AI
summary
MemSQL presents a transactional database that consolidates tiers, runs transactions and analytics, and scores TensorFlow models in real time so applications can identify objects in milliseconds. Customers connect it to Hadoop, Spark and Kafka, ingesting and querying fresh data and streaming gigabytes per second from Kafka into immediate queries. Real deployments include a collaboration with Thorn to find missing children; AI-driven tuning claims to pick data distribution, indexes and knobs automatically.
AI-written summary · about
chapters (7)
- 0:00Start
- 0:29They are INTELLIGENT
- 0:43COMPLEXITY REMAINS
- 0:59Teaching Databases to LEARN
- 1:44ADAPTABLE
- 2:41ECOSYSTEM
- 2:59Input Transformation Scoring
related talks
09mHow to be fast and have a good memory with Machine Learning
05mClose Encounters with the Third Kind of Database
05mDriving the On-Demand Economy with Predictive Analytics
07mthe state of in-memory
05mTechnical convergence in enterprise database software
06mThe Enterprise-Focused Startup
06mMachines and the magic of fast learning
41mIntegrating Kafka with a Real-Time Database