Strata Conference 2014
2014-02-11..2014-02-13
Santa Clara, United States
| title | author | length |
|---|---|---|
| Small Data in Sports: Little Differences that Mean Big Outcomes | David Epstein | 09m |
Elite sports hinge on tiny measurable edges: performance gaps are often about 0.5%, so UK Athletics uses biomechanics to pick modifiable levers rather than… | ||
| The Art of Good Practice | Rodney Mullen | 10m |
Concrete method for making new tricks: isolate variables, repeat targeted sub-moves hundreds of times (sometimes 100+ tries per variation), and then recombine… | ||
| Big Data Moonshots and Ground Control | Joe Hellerstein, Tutti Taygerly | 11m |
Argues that 80% of analytic effort is data cleaning and that automation alone fails, offering a human-in-the-loop system called predictive interaction that… | ||
| In-Hadoop Analytics: Bringing analytics to big data | Anjul Bhambhri | 07m |
Claims that analytics run where Hadoop stores it, turning clusters of tens to thousands of nodes holding terabytes to petabytes into live analytics platforms… | ||
| Data Science and Smart Systems: Creating the Digital Brain | Kaushik Das | 11m |
Claim: build a live “digital brain” that ingests sensor streams from drilling rigs and grids, finds patterns and flags blowout or outage risk, then triggers… | ||
| How Companies are Using Spark, and Where the Edge in Big Data Will Be | Matei Zaharia | 11m |
Apache Spark (Apache/Berkeley) aims to push value from data by improving speed and algorithmic power on commodity Hadoop clusters. Claims include up to 100x… | ||
| A Datacenter OS for a Data-Rich Society | Boyd Davis | 05m |
Intel announces a Hadoop-based datacenter OS and a product lineup: Intel data platform Enterprise Edition freely available next quarter and a Premium Edition… | ||
| Crossing the Chasm: What's New, What's Not | Geoffrey Moore | 14m |
Crossing the chasm gets updated conclusions: big data itself is not yet over the chasm, because enterprises need a whole product (not just a tool) and partners… | ||
| Collecting Massive Data via Crowdsourcing | John Schitka | 05m |
Crowdsourcing is used to collect production-grade datasets: International Barcode of Life builds a mobile app to submit plant and insect specimens with the… | ||
| Evolution from Apache Hadoop to the Enterprise Data Hub | Amr Awadallah | 06m |
About 25% of the room still owns a DSLR while nearly everyone uses a smartphone, and that gap illustrates the EDH claim: build an Enterprise Data Hub with… | ||
| Empowering Personalized Learning with Big Data | Ramona Pierson | 10m |
Claims a production platform that personalizes learning at national scale (examples: Australia, Mexico) by ingesting legacy systems plus social feeds (Twitter… | ||
| Hadoop in 5 Minutes or Less | John Schroeder | 05m |
Hadoop powers a biometric backend for Aadhaar handling 4.73 million authentications in a minute with ~200 ms latency while storing iris scans, fingerprints and… | ||
| People are Data Too | Farrah Bostic | 06m |
Argues that big surveys mislead unless paired with close observation and interviews, showing specifics: Silverado phone recruitment uncovers that relatives… | ||
| Bringing Big Data to One Billion People | Quentin Clark | 10m |
Claim: big data will reach a billion non‑data‑scientists by combining cloud services, familiar apps and operational-grade tooling. Microsoft deploys Hadoop 2.2… | ||
| Record Linkage for Quantifying Conflict Casualties in Syria | Megan Price | 10m |
Human Rights Data Analysis Group applies random forests and multiple systems estimation to four documentation sources — Syrian Center for statistics and… | ||
| Keynote with Ben Fry | Ben Fry | 10m |
Demonstrates interactive visualizations that reveal specific findings: a Fortune 500 ranking time‑matrix exposing industry shifts from manufacturing to IT… | ||
| Survivorship Bias and the Psychology of Luck | David McRaney | 19m |
A WWII Applied Mathematics Panel dataset about returning bombers leads Abraham Wald to recommend adding armor where there are no bullet holes, not where the… | ||
| Enterprise Big Data Hub & the Federal Government | Eli Collins | 06m |
Cloudera positions the Enterprise Big Data Hub as a centralized cluster that ingests any volume any variety and runs multiple workloads—ETL, search… | ||
| Microsoft & Power BI | Quentin Clarks | 11m |
Microsoft announces HDInsight support for Hadoop 2.2 in Azure preview, and a cloud BI rollout: Power BI for Office 365 (general availability) with HTML5… | ||
| Big Cities and Big Data Around the World | Vince Dell'Anno | 09m |
Shows where big data is actually deployed: Financial services and CMT are already monetizing data, cities run water utility wastewater optimization on cloud… | ||
| The Enterprise-Focused Startup | Eric Frenkiel | 06m |
Company builds MemSQL an enterprise in-memory relational database that distributes on commodity servers and maintains a full SQL interface. Demoed consuming… | ||
| Machine-Generated Data and SAP's Big Data Analytics Portfolio | JC Raveneau | 12m |
SAP positions Hana platform as an in‑memory columnar database expanded into a real‑time platform with geospatial, text and predictive engines, plus… | ||
| interviewed at – Lutz Finger | Lutz Finger | 11m |
Book argues ask measure learn as a concrete workflow: start with a specific question, pick metrics and social sources, then apply munging, recommendation… | ||
| Visual Analytics & In-Memory Processing | Paul Kent | 07m |
SAS launches an in‑memory Visual Analytics stack that leverages a shared cluster to exploit an abundance of compute power, signs up over a thousand customers… | ||
| Data in Sports | David Epstein | 08m |
Investigative sports science that connects genetics, data and stories: reveals a single-gene mutation as the cause of sudden cardiac death in an athlete… | ||
| The Democratization of Data Science | Cesar Rojas | 08m |
Claims a platform lets SQL analysts run complex analytics by SQL-invoked analytic functions instead of custom code, and lets systems join data in the warehouse… | ||
| MapR Snapshots and the Big Data Ecosystem | Jack Norris | 08m |
MapR provides point-in-time consistent snapshots across the cluster that allow rollbacks for corruption or user error with no additional data footprint, unlike… | ||
| Democratizing Big Data and Hadoop-Based Platforms and Solutions | Boyd Davis | 06m |
Intel announces the Intel Data Platform, shipping next quarter, that bundles Hadoop plus Spark, Shark, Storm, Kafka and in-house graph analytics into an… | ||
| Pivotal One and Agile Data Science | Kaushik Das | 10m |
Claims a Pivotal One PaaS that layers a data lake on Hadoop to ingest realtime, micro-batch and batch machine and human data, push computation to the data, and… | ||
| In-Hadoop Analytics and IBM's Watson | Anjul Bhambhri | 11m |
Defines "in-Hadoop analytics" as running analytics where petabytes of data live rather than moving it, and describes an IBM Big Data platform built around a… | ||
| interviewed at – Hadley Wickham | Hadley Wickham | 08m |
ggvis turns ggplot2 into interactive web graphics by generating standard HTML/CSS/JavaScript pages so charts work in the browser and on iPads, aiming for… | ||
| interviewed at – Ari Gesher | Ari Gesher | 18m |
Palunteer describes building a data product that pairs heavy integration with rich UI so domain experts can act on messy real‑world problems. Focus is on human… | ||
| interviewed at – Peter Wang | Peter Wang | 09m |
Company starts January 2012 and shifts in year two from community-building to shipping products and customer work, backed by DARPA funding; conferences grow… | ||
| interviewed at – Rich Ghiossi | Rich Ghiossi | 08m |
Treasure provides a managed SaaS Hadoop stack with embedded agents in app servers that stream logs and sensor data into the cloud, claiming 10 billion rows a… | ||
| Trifacta's Transformational Platform | Joe Hellerstein | 06m |
Company founded in 2012 builds a data-wrangling platform that surfaces suggestions as users point and highlight messy fields, showing live previews of… | ||
| Making Data Work | 02m | |
Argues that data is a perishable commodity requiring the right data at the right time and that impact comes from timely use. Proposes concrete hybrid analytic… | ||
| nothing matches | ||