Paradigm4 Recent Videos
Which Database System is Right for You? – Alex Poliakov reviews the database landscape. (~37 min)
Foundation Medicine: Accelerating Cancer Informatics using SciDB – Eric Neumann, FMI VP of Knowledge Informatics, presents with Paradigm4 on how Foundation uses SciDB to accelerate cancer informatics. (~32 min)
Discovering novel structures in large cancer data sets from both FMI and TCGA with SciDB from both FMI and TCGA. (~31 min)
Paradigm4 Videos On-Demand
Your quantitative finance, powered by Paradigm4 … an introduction to SciDB (Webinar ~40 mins.)
Transaction Cost Transparency Boosts PDQ Enterprises, LLC’s Innovative Trading Platform Business … powered by Paradigm4 SciDB
Massively Scalable Quantitative Finance – SciDB benchmarks for order book creation and consolidation, crypto-currency network analysis. (~45 min)
SciDB Tutorial from XLDB 2013: Paradigm4 architects Alex Poliakov and Paul Brown walk you through an interactive tutorial at XLDB 2013. (~3 hrs)
Time Series Data in SciDB: Paradigm4 presents SciDB-Py at PyData NYC 2013. (~28 min)
Big Analytics with SciDB-Py: Paradigm4 and Continuum Analytics present a webinar about SciDB-Py, a Python package that expands the power of Python with SciDB, the massively scalable array database. (~1 hr)
Analyze More, Program Less: SciDB for Computational Finance: Watch demos of SciDB performing common financial calculations at scale. (~1 hr)
Big Analytics with SciDB-R: See how SciDB-R lets you remain an R programmer but expands its power with SciDB. (~1 hr)
Paradigm4 Short Videos
Which Database System is Right for You? (abridged)
Bill Kantor of Paradigm4 gives a shortened version of Alex Poliakov’s database systems market research findings.
Interactive Data Exploration with SciDB
Interactive Genetic Variant Data Exploration and Drill Down with SciDB, R-Studio, and Shiny.
A New Database Paradigm For Complex Analytics
Database visionary Mike Stonebraker describes why SciDB is optimal for complex analytics on machine-generated data.
SciDB in the Lab
Yushu Yao of Lawrence Berkeley National Lab – NERSC shares his experiences using SciDB on terabytes of science data.