XLDBConf
Extremely Large Databases (XLDB) conference focuses on practical issues related to extremely large (petascale) databases.
XLDB-2019: BlazingSQL & RAPIDS AI - A GPU-accelerated end-to-end analytics platform
XLDB-2019: Supercharging Business Decision with AI - Insights, Optimize and Personalize
XLDB-2019: Using High Capacity Flash Based Storage in Extremely Large Databases
XLDB-2019: European Space Agency Gaia Mission as a Classification Machine for Variability Studies
XLDB-2019: Enabling Responsible Analytics - Bias-Corrected and Privacy-Preserving Training Data
XLDB-2019: Design of BigQuery ML
XLDB-2019: 3.7 Decades of Quantum Computing
XLDB-2019: Hardware Acceleration for Big Data Analytics and AI Workloads
XLDB-2019: Snorkel - A System for Training Set Modeling
XLDB-2019: Databricks Delta - A Unified Data Management System for Real-time Big Data
XLDB-2019: Lightning Talks
XLDB-2019: Session Introduction (Hardware Trends)
XLDB-2019: Making ML More Useful to More People - Some Failures, Some Successes, Many Open Questions
XLDB-2019: Accelerating the Machine Learning Lifecycle with MLflow
XLDB-2019: Promises and Pitfalls of 'Big' Medical Records Data For Research
XLDB-2019: Programming the Cloud
XLDB-2018: Machine Learning Meets Databases at Netflix
XLDB-2018: Postgres-XL for European Space Agency Gaia Variability Studies
XLDB-2018: Machine Learning Panel 1
XLDB-2018: ArrayUDF Explores Structural Locality for Faster Scientific Analyses
XLDB-2018: XProd: Efficient and Scalable Cartesian Product Distribution for Map-Reduce Primitives
XLDB-2018: What Data Platforms Can Do for Machine Learning Workloads
XLDB-2018: Practical Automated Regression Testing of ETL Applications
XLDB-2018: IoT Makes Big Data Look Small
XLDB-2018: Asynchronous Stochastic Gradient Descent on GPU: Is It Really Better than CPU?
XLDB-2018: SQL, Scaling, and What's Unique About PostgreSQL
XLDB-2018: Reproducible Computational and Data-Intensive Experimentation Pipelines with Popper
XLDB-2018: Starting "Small" to Go Big — Building a Living Database
XLDB-2018: Real-time Fraudulent Detection with Innovative Big Graph Feature
XLDB-2018: Project Jupyter: Reproducible, Scalable, Collaborative Data Science