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

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.