Big Data: Links, News And Resources (4)

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HBase Architecture 101 – Storage

Culturomics 2.0: Forecasting large-scale human behavior using global news media tone in time and space

Smart Sales Prospecting

SQLFire: Scalable SQL instead of NoSQL

Karmasphere 2.0
Collaborative Analytics Workspace on Hadoop with Self-Service for Everyone in the Business

MapR delivers on the promise of Hadoop, making managing and analyzing Big Data a reality for more business users.

Big Data Now: Current Perspectives from O’Reilly Radar

Big Data and Human Judgment

The Petabyte Age: Because More Isn’t Just More — More Is Different

Strata New York Speaker Slides & Video

Six Provocations for Big Data

Apache Giraph
For general-purpose big data computation, the map-reduce computing model has been well adopted and the most deployed map-reduce infrastructure is Apache Hadoop. We have implemented a graph-processing framework that is launched as a typical Hadoop job to leverage existing Hadoop infrastructure, such as Amazon’s EC2. Giraph builds upon the graph-oriented nature of Pregel but additionally adds fault-tolerance to the coordinator process with the use of ZooKeeper as its centralized coordination service.

Video: 3 Big Data Tech Talks You Can’t Miss

Big Data Needs an End in Sight

The “Big Five” IT trends of the next half decade: Mobile, social, cloud, consumerization, and big data

Hadoop Virtual Panel

BigData Spain 2012

Nathan Marz: “Cascalog: Making Data Processing Fun Again”

Data science in the natural sciences

Big Data To Drive $232 Billion In IT Spending Through 2016

Strata NYC 2012 and PyData

Grok turns data into action

Un nuevo canal para servir grandes cantidades de datos

Big Data @ Foursquare: Slides from our recent talk

The Value of Values – Rich Hickey
Creator of Clojure and Datomic, Rich Hickey delivers this excellent JAXconf keynote about how the definition of values has changed in light of the increasing complexity of information technology and the advent of Big Data.

MapReduce and Its Discontents
Dean Wampler discusses the strengths and weaknesses of MapReduce, and the newer variants for big data processing: Pregel and Storm.

7 new types of jobs created by Big Data

Meet the New Boss: Big Data

The GPU “Sweet Spot” for Big Data

BigData Diagram

A beginners guide to streamed data from Twitter

My Links

Keep tuned!

Angel “Java” Lopez

2 thoughts on “Big Data: Links, News And Resources (4)

  1. Pingback: Big Data: Links, News And Resources (3) | Angel "Java" Lopez on Blog

  2. Pingback: Big Data: Links, News And Resources (5) | Angel "Java" Lopez on Blog

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