By David Gruzman, on December 10th, 2014

ImpalaToGo announcement

During my work in BigDataCraft.com I saw repeating problem our customers face. The problem is how to get efficient SQL on big data in the cloud.

Lets see a typical case.

First case – daily logs of some nature arrived and stored in the S3. There is a need to do . . . → Read More: ImpalaToGo announcement

By Constantine Peresypkin, on October 2nd, 2012

Network virtualization for the Cloud: Open vSwitch study

In face of the current reality of ten thousand node data-centers and all the BigData jazz it seems like the network guys were slightly forgotten. We have enough hardware virtualization solutions but until now the network was left on the outskirts of the cloud hype. Let’s see what we can use right now and . . . → Read More: Network virtualization for the Cloud: Open vSwitch study

By Camuel Gilyadov, on September 24th, 2012

What does BigData mean?

The full deck available at Continue reading What does BigData mean?

By Camuel Gilyadov, on July 7th, 2012

Start-Up Chile

I’ve been frequently asked about my experiences in Start-Up Chile program. For the past half year that I’ve been participating in the program I could say that it was interesting and fulfilling experience.

On top of provided seed capital you get a supporting framework of mentors and fellow startupists. You can literally “feel” the surrounding  entrepreneurial spirit. And . . . → Read More: Start-Up Chile

By Camuel Gilyadov, on March 1st, 2012

Apache Hadoop over OpenStack Swift

This is a post by Constantine Peresypkin and David Gruzman. Lately we were working on integrating Hadoop with OpenStack Swift. Hadoop doesn’t need an introduction neither does OpenStack. Swift is an object-storage system and the technology behind RackSpace cloud-files (and quite a few others like Korea Telecom object storage, Internap and etc…) Before we go . . . → Read More: Apache Hadoop over OpenStack Swift

By Camuel Gilyadov, on February 11th, 2012

Futility of "tooling" a proprietary cloud.

I’v been pitched by a lot of entrepreneurs trying to make a better-than-original “tooling” for a proprietary cloud, particularly for AWS. Ain’t the attempt futile from the beginning? Amazon is smart, innovative and working hard to make its cloud offering comprehensive and has much larger arsenal to overdo anyone who dare to compete on their own turf. . . . → Read More: Futility of “tooling” a proprietary cloud.

By Camuel Gilyadov, on January 17th, 2011

Upcoming hardware renaissance era: part #2.

Some examples of upcoming hardware renaissance era:

1. Virtually all server vendors are pitching modularized data centers by now. MDC are boxes resembling shipping containers accommodating complete vritualized data-center inside. With MDC one just connects power, network and chilled water and gets access to the cloud in the box. Most MDC are good to . . . → Read More: Upcoming hardware renaissance era: part #2.

By Camuel Gilyadov, on November 17th, 2010

Emerging Proprietary Hardware Renaissance

INTRO I cannot count number of times I heard that cloud computing means innovation stagnation in the proprietary hardware business and that with cloud computing, hardware doesn’t matter anymore and will succumb sooner or later into boring razor-thin-margins oligopolistic commodity industry.

GAME OVER FOR FAT MARGINS IN PROPRIETARY HARDWARE? Why folks think like that? . . . → Read More: Emerging Proprietary Hardware Renaissance

By Camuel Gilyadov, on October 17th, 2010

Two Envelopes Problem: Am I just dumb?

It seems the recent craze about statistician being a profession of choice in the future gains steam. In future where we will be surrounded by quality BigData, capable computers and bug-free open source software including OpenDremel. Well the last one I made up… but the rest seems to be the current situation. Acknowledging this . . . → Read More: Two Envelopes Problem: Am I just dumb?

By Camuel Gilyadov, on October 11th, 2010

How scalable is linux kernel on 48-core machine?

According to this excellent and comprehensive research with some kernel hacking ~x33 speedup (compared to single core) is possible. For example PostgreSQL running on 48 cores gives ~x4  out of the box and after kernel/postgreSQL patches are applied it grows to ~x33. Assuming IO can keep up of course.

By Camuel Gilyadov, on October 1st, 2010

The story behind this blog

Continue reading The story behind this blog