Strata Conference New York + Hadoop World 2013
2013-10-28..2013-10-30
New York, United States
| title | author | length |
|---|---|---|
| Separating Hadoop Myths from Reality | Jack Norris | 10m |
Claims that commercial Hadoop distributions all behave the same are rebutted with architecture: MapR removes Java layers and the HDFS single-write choke… | ||
| Big Impact from Big Data | Ken Rudin | 12m |
Facebook treats Hadoop as the store of lowest‑grain event data and uses relational systems for transformed, aggregated and trending analysis; exploratory… | ||
| Five Surprising Mobile Trajectories in Five Minutes | Tony Salvador | 05m |
Claims five mobile trajectories for the next decade: Seven billion futures, Hyper Digitization, Hyper Individualism, Hyper Collectivity and Hyper… | ||
| Can Big Data Reach One Billion People? | Quentin Clark | 05m |
Microsoft commits to consumerize big data by putting analytics into tools people already use: HDInsight GA on Azure, Hadoop integration with Hortonworks… | ||
| What Makes Us Human? A Tale of Advertising Fraud | Claudia Perlich | 08m |
Performance metrics suddenly double over two weeks after adding 10 billion daily bid requests, triggering an investigation that finds networks of sites passing… | ||
| From Fiction to Facts with Big Data Analytics | Ben Werther | 05m |
Claims that Platfora turns Hadoop data into actionable insight by automating deep processing, pushing analytics in-memory, and surfacing connected behaviors… | ||
| Towards Strata 2014 | Roger Magoulas | 05m |
A salary survey of about ~500 US respondents reports a median income of $110k (25th $90k, 75th $140k) with a 10k increment survey bucket and a cap near $250k… | ||
| The Economic Potential of Open Data | Michael Chui | 14m |
Research estimates open data can unlock over $3 trillion in annual economic value across education, transportation, healthcare, energy and finance, with more… | ||
| The Future of Hadoop: What Happened & What's Possible? | Doug Cutting | 15m |
Hadoop evolves from a brittle batch system into a scalable, reliable, secure kernel that other tools plug into: Pig and Hive add higher‑level queries, HBase… | ||
| Designing Your Data-Centric Organization | Josh Klahr | 12m |
Companies pivot manufacturing value into software by building 24 data-driven applications that generate $400 million from predictive maintenance and clinical… | ||
| Encouraging You to Change the World with Big Data | David Parker | 06m |
Examples of concrete deployments: a University of Kentucky project uses Hadoop to analyze students’ click, submission and exam text to flag underperforming… | ||
| The Value of Social (for) TV | Shawndra Hill | 11m |
Claims that public social data predicts viewership and ad impact using real Twitter handles, Experian/Facebook demographics and GetGlue/Biggle check-ins… | ||
| Ubiquitous Satellite Imagery of our Planet | Will Marshall | 10m |
Planet Labs launches ultra‑compact 10×10×30 cm imaging satellites, first two demos flown in April with the fastest processors and more memory than previous… | ||
| The Big Data Journey: Taking a holistic approach | John Choi | 06m |
Positions big data as an aspirational state rather than a single project, where big data equals more data enables questions previously impossible and demands… | ||
| Rethink How You See Data | Sharmila Shahani Mulligan | 09m |
ClearStory presents a system that turns weeks of ETL and modeling into minutes by data harmonization across relational, Hadoop, flat files and external… | ||
| Can Big Data Save Them? | Jim Kaskade | 09m |
Claims that focusing on an application — not a Hadoop stack — turns big data into actionable cancer results: start with a use case, expand from 15% to 100% of… | ||
| Changing the Face of Technology - Black Girls CODE | Peta Clarke, Donna Knutt | 05m |
Black Girls CODE sets a concrete goal to teach 1 million girls to code by 2040 and reports having served over 2,000 girls in two years through chapters in… | ||
| Beyond R and Ph.D.s: The Mythology of Data Science Debunked | Douglas Merrill | 08m |
Claims that big data doesn't really exist and that new math or hiring Ph.D.s alone will fix modeling problems; company uses big-data underwriting and R but… | ||
| Is Bigger Really Better? Predictive Analytics with Fine-grained Behavior Data | Foster Provost | 10m |
Case study compares models built from 200–300 sociodemographic and geographic variables versus models that add one million customers described by 3 million… | ||
| O'Reilly Data Innovation Awards | 05m | |
O'Reilly Data Innovation Awards presents concrete wins: Monica Martinez placed via Strategic Data Project uncovers root causes of low graduation rates in… | ||
| The Evolving Corporation | Jim Stogdill | 17m |
Argues that corporations evolve from a bureaucratic lizard brain into map‑based, higher‑IQ systems by adding sensors, networks and analytics; cites 1954… | ||
| Startup Showcase: Alpine Data Labs | Bruno Aziza | 03m |
Alpine Data Labs offers a scriptless, web-enabled visual analytics platform built specifically for Hadoop and other MPP stores that executes analytics where… | ||
| Startup Showcase: Hazelcast | Miko Matsumura | 05m |
Hazelcast is an open‑source in‑memory data grid that exposes distributed maps, queues, topics and lists via a 2.6MB jar that gives applications access to… | ||
| Startup Showcase: Mevoked | Arun Ravi | 04m |
Mevoked presents an analytics platform that correlates online and mobile behavior with child mental wellness, shipping a parent app that acts as a smarter… | ||
| Startup Showcase: Appuri | Damon Danieli | 03m |
Appuri consolidates scattered customer signals into a single unified customer profile and exposes that profile through a smart pipeline for real-time data… | ||
| Startup Showcase: Sqrrl | Mark Terenzoni | 04m |
Sqrrl presents a real-time big data platform that enforces cell-level security so every field carries its own access rules, not just coarse user roles. The… | ||
| Startup Showcase: Affinio | Tim Burke, Stephen Hankinson | 06m |
Affinio builds a custom NoSQL graph database after trying Cassandra, HBase, DynamoDB and Redshift, because queries on a 500 million vertex dataset with 40… | ||
| Startup Showcase: PlaceIQ | Niladri Batabyal, Jonathan Lenaghan | 07m |
PlaceIQ ingests location streams from hundreds of millions of devices and billions of ad requests into an end-to-end geospatial pipeline that conflate cluster… | ||
| Startup Showcase: WebKite | Eric Silver | 06m |
WebKite turns a spreadsheet into a faceted, searchable site using HTML, JavaScript, CSS, global variables and simple command structures and removes the need to… | ||
| Startup Showcase: Metric Insights | Steve Mock | 04m |
Metric Insights claims to solve dashboard overload by delivering only the small slice of metrics that matter rather than making users hunt through many views… | ||
| Startup Showcase: Fortscale | Idan Tendler | 05m |
Fortscale turns siloed logs into ranked alerts by running machine learning algorithms over enterprise Hadoop-scale data to build user behavioral profiles… | ||
| Startup Showcase: JethroData | Eli Singer | 04m |
JethroData claims to deliver the fastest SQL queries on Hadoop by indexing every column on the fly so queries read only needed rows instead of doing full… | ||
| HDInsight and Hadoop | Quentin Clark | 09m |
Microsoft announces HDInsight for Windows Azure GA — a hardened, cloud Hadoop/HBase offering built with Hortonworks and aimed at making big data accessible… | ||
| The Integration Company | Ash Kulkarni | 10m |
Claims a concrete product called Vibe engine that maps once and deploys to Teradata, Informatica grid, Hadoop or cloud, letting existing Informatica developers… | ||
| Big Data and the Fact-Based Enterprise | Ben Werther | 08m |
Claims that BI = BS and that businesses need big data analytics for regular users, not just data scientists. Describes a Platfora-style stack that runs event… | ||
| New Technologies with Big Data | Tony Salvador | 07m |
Argues that social science must sit alongside engineering, using people as the primary sensors to spot cultural shifts, question claims, and run field work… | ||
| HANA and Real-Time Insights | David Parker | 06m |
Claims that SAP HANA delivers in-memory transactional + analytical processing and federates queries to Hadoop (partnership with Hortonworks) to give real-time… | ||
| Hadoop Virtualization with VMware | Joe Russell | 05m |
VMware virtualizes Hadoop while claiming near bare‑metal performance after extensive benchmarking and a contributed patch called HP Hadoop virtual extensions… | ||
| The Future of Hadoop in Enterprise | Mike Olson | 08m |
Hadoop shifts from research toy to production backbone: five years in and the platform runs mission-critical deployments across finance, telco, retail… | ||
| Integration and Ecosystem of Hadoop | Doug Cutting | 06m |
Project is named Hadoop in 2006 and grows from a MapReduce split into a platform that Cloudera commercializes over four years with training and support. Claim… | ||
| Apply Small Data to Big Data | Baron Schwartz, Kyle Redinger | 05m |
Argues that most big-data projects become expensive fluff and instead turn big data into small data by measuring fewer, targeted metrics. Describes a product… | ||
| Open Data and Its Economic Potential | Michael Chui | 05m |
Finds that opening data across seven sectors unleashes about $3 trillion in annual value, with roughly 30% from benchmarking and more than half of benefits… | ||
| Debugging Hadoop | Philip Zeyliger | 09m |
Claims that debugging shifts from single-machine deep dives to first locating outlier machines across clusters and tracing cross-node interactions. Recommends… | ||
| Predictive Modeling and Machine Learning | Claudia Perlich | 07m |
Argues that companies are still in the infancy of extracting value from granular data and that the big wins are organizational not algorithmic: data storage is… | ||
| Mining the Field of Big Data Strategies | John Akred | 07m |
Argues that the main obstacle to extracting value from big data is organizational culture not tools, with recurring client evidence that legacy mindsets insist… | ||
| Data Intelligence | Vaibhav Nivargi | 07m |
ClearStory Data presents Data Intelligence as a converged platform + application that profiles and matches internal and external sources on the fly, requires… | ||
| Hadoop and Big Data Hype | Jack Norris | 08m |
Argues Hadoop is ready for production today and gives concrete benefits: $15–16k per TB vs a few hundred storage cost, faster low-cost analytics that let teams… | ||
| Natural Language Processing and Hadoop | Benjamin Bengfort, Sean Murphy | 06m |
Shows how to run NLP at scale by pairing classic pipeline steps — tokenization, parsing, feature extraction and model training — with Hadoop to process… | ||
| interviewed – Ankur Gupta | Ankur Gupta | 05m |
MetaScale spins out of four years running Hadoop at Sears and offers three concrete products: consulting that maps Hadoop to existing EDW stacks like Teradata… | ||
| Complementary Solutions with Hadoop | Tasso Argyros | 07m |
Claims a unified data architecture that layers Hadoop for collection and refinement, Aster for discovery and Teradata for warehousing, delivered as an… | ||
| Social Data and Television | Shawndra Hill | 09m |
Describes how social networks link to TV by collecting public data via streaming APIs to build a dataset of billions of tweets and user links, processed with… | ||
| Holistic and Right Data | John Choi | 10m |
Argues that right data beats raw volume and that enterprises must stitch relational systems and new stores into a single architecture with governance and… | ||
| interviewed – Paul Groom | Paul Groom | 06m |
Claims that Hadoop cannot handle high-frequency BI workloads directly and that a scale-out in-memory platform fixes that by sitting between BI tools and… | ||
| interviewed – Mike Barton | Mike Barton | 04m |
Vertica positions itself as the middle layer between expensive EDWs and Hadoop data lakes, claiming customers move high-cost analytic workloads off… | ||
| The Predictive Enterprise | Annika Jimenez | 11m |
Company frames a practical path to a predictive enterprise by connecting data platforms to application runtimes rather than stopping at Hadoop storage… | ||
| Hadoop's Impact on the Future of Data Management | Mike Olson | 16m |
Claims that Hadoop moves from edge to core and becomes an enterprise data hub that stores full-fidelity data, enforces security and lineage, and runs batch and… | ||
| Strata Conference + Hadoop World 2013 | Mike Olson | 02m |
Claims that meaningful signals like the interaction of multiple genes over time with the environment live in messy records and shows a working pipeline that… | ||
| nothing matches | ||