Perspective - Treasure Data Blog - Part 26

Perspective Category

November 27, 2012

How To Analyze Twitter Data From Node.js Applications in 15 Minutes

Node.js is a popular server-side implementation of JavaScript. Its lightweight, event-based concurrency model lends itself naturally to building a real-time service with a large number of concurrent connections (Etsy's monitoring library statsd and Uber's on-demand driver dispatch service immediate ...

November 20, 2012

Data Warehousing or Big Data -What’s in a Name?

There is a clever article in this week's Information Week entitled Big Data Debate: End Near For Data Warehousing? The article asks a series of questions that can be reduced to “Will Hadoop supplant the enterprise data warehouse and relegate relational databases to data-mart roles?” This is cert...

November 6, 2012

Analyzing Hurricane Sandy Related Tweets with Treasure Data

Social Media is an enormous source of information. For example, with more than 350 million Tweets per day, there is a lot of information to be mined. The question is: “where do you start?”......

October 30, 2012

CIOs say BI, Mobility and Cloud are Top Priorities

Every year Gartner produces one of the definitive surveys of IT priorities based on input from CIOs around the world. It is usually one of the most influential and most quoted surveys and this year's survey will be no exception. According to the latest published survey (September 2012), CIOs rated ...

October 16, 2012

Sorry Guys It’s Not Just About Big Data

McKinsey christened it, Forbes is writing about it, the Harvard Business Review just devoted 22 pages to it and the tech press is alive with it – “it” is big data of course. Treasure Data grew up with big data, distributed storage and processing architectures and handling thousands of concurre...

August 28, 2012

Five Criteria of a Next Generation Data Warehouse

A few months ago, Jeff Kelly published a comprehensive article that captured the current state of Big Data and Hadoop nicely and laid out the blueprint of next-generation cloud computing. For cloud computing nerds like us, the article was a joy to read, but especially the section called “Next G...

August 15, 2012

Data Scientist: a Unicorn?

Finding a good engineer is hard. Finding a good data scientist doubly so. A couple of months ago, Josh Wills, Director of Data Science at Cloudera, gave a talk dubbed “The Life of a Data Scientist”. In the talk, he defined data scientist as: Data Scientist (n.): Person who is better at stati...

August 14, 2012

Does it Need to be “Real Time”?

The word “real-time” has been used pretty liberally over the past few years. Some people call a feed system with 5-second latency “real-time”. Others adhere to the stricter definitions of "hard/firm" real-time. It almost seems everyone has their own definition of what “real-time” means. ...

What I did at “Hacker in the Rye” Stripe Hackathon

Last Saturday, I visited Stripe to participate in their "Hacker in the Rye" hackathon. It was pretty awesome: I managed to write some code, met a couple of new folks, and had tasty Thai food for dinner. (more…)...

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