Strata + Hadoop World 2016 - New York, New York
2016-09-27..2016-09-29
New York, United States
[Strata + Hadoop World 2016 - San Jose, California, Strata + Hadoop World 2016 - New York, New York, Strata + Hadoop World 2016 - Singapore, Strata + Hadoop World 2017]
who it's for
data engineers, data scientists, machine learning engineers, cloud architects, platform engineers, security analysts, investigative journalists
topics
converged data platform; event-driven microservices; Trusted Analytics Platform; Apache Spot common data model; Kylo orchestration layer; Apache NiFi dataflows; TensorFlow model deployment; Google BigQuery for enterprise; Hadoop in public cloud; Cloudera Director multicloud management; Cisco Tetration telemetry; immersive data visualization
| title | author | length |
|---|---|---|
| What is your data platform? | Jack Norris | 11m |
Claims a converged data platform unifies storage, streaming, legacy and analytics so one system handles operational and analytic workloads at scale. Cited… | ||
| Collaboration and openness drive innovation in artificial intelligence | Martin Hall | 06m |
Claims that AI needs open collaboration and co-optimized silicon and software to move from batch analytics to real‑time intelligence across edge and cloud… | ||
| Driving open source adoption within the enterprise | Ron Bodkin | 07m |
Teradata describes a reproducible stack for enterprise analytics centered on an industrial data lake and a new discipline called analytics ops that automates… | ||
| The new dynamics of big data | Mike Olson | 07m |
Announces incubation of a new Apache project Apache Spot that defines a common data model for netflow, events, users and applications so large repositories of… | ||
| US venture: Risk, values, founder outcomes | Susan Woodward | 05m |
Builds a value‑weighted venture index from 28,000 venture-backed companies and about 74,000 funding rounds, using VentureSource plus manual vetting and monthly… | ||
| Transforming healthcare through precision data science | Sriram Vishwanath | 02m |
Claims that healthcare savings come from targeting the 3-5% high utilizers rather than modeling the 90–95% bulk, demonstrates this with a simple regression on… | ||
| Hadoop in the cloud: A Nielsen use case | Tom Reilly, James Powell | 05m |
Nielsen moves core analytics to public clouds to drive agile devops and elastic, near‑real‑time processing, running about 10% of commercial workloads in the… | ||
| Inbox is the Trojan horse of AI | Alistair Croll | 04m |
Argues that AI is mostly used on us rather than tools we control, with concrete examples: product recommendations, fraud detection and anomaly detection… | ||
| Connected eyes | Joseph Sirosh | 10m |
Machine learning models trained on roughly 404 patients, 747 procedure instances predict uncorrected visual acuity at day 1, week 1 and month 1 after LASIK and… | ||
| The tech behind the biggest journalism leak in history | Mar Cabra | 04m |
An anonymous hard drive contains 2.6 terabytes and 11.5 million files from law firm Mossack Fonseca; a coordinated network uses secure sharing, search and… | ||
| Business insights driven by speed | Todd Brannon | 06m |
Cisco describes securing and instrumenting the Rio Olympics with 5,000 wireless access points and 440 UCS servers, detecting and blocking 23 million attacks… | ||
| From big data to human-level artificial intelligence | Gary Marcus | 04m |
Argues that cheap parallel computation and massive datasets plus advances in deep learning still fall short of human-level cognition, claiming current systems… | ||
| SAS: More open than you might think | Paul Kent | 08m |
SAS presents a more open stack: SAS Viya as a unified analytics architecture, an open SAS Jupyter kernel on GitHub that returns pandas-like tables (SAS C… | ||
| Google BigQuery for enterprise | Chad W. Jennings | 06m |
A live demo scans 1.09 petabytes (just over a trillion rows) and returns results in 223 seconds, showing serverless separation of storage and compute… | ||
| Bring data to life with Immersive Visualization | Robert Thomas | 06m |
Demo shows a working AR visualization pipeline: data pulled from Spark into IBM Data Science Experience, overlaid on Manhattan as 3D blocks with kW·h per… | ||
| Modern analytics with Dell EMC | Patricia Florissi | 07m |
Dell EMC proposes replacing slow culture-based workflows by using sequence entire microbiome (metagenomic) data, avoid reassembling individual genomes, and run… | ||
| nothing matches | ||