Enterprise Customer Data Platform - Treasure Data Blog - Part 36

August 31, 2015

Elasticsearch vs. Hadoop For Advanced Analytics

A Tale of Two Platforms Elasticsearch is a great tool for document indexing and powerful full text search. Its JSON based Domain Specific query Language (DSL) is simple and powerful, making it the defacto standard for search integration in any web app. But is it good as an analytics backend? Are we...

August 21, 2015

Treasure Data and Chartio Co-panel: Big Data and How to Get it Right

On Wednesday, August 26, SOMA Central 450 Townsend Street, San Franciscowill host a panel with TD and Chartio: Big Data and How to Get it Right. You can RSVP here......

August 21, 2015

Redshift Data Loading Simplified with Schema-On-Read ELT

By now, it's become pretty clear that Amazon Redshift is becoming the preferred data warehouse solution due to a number of factors. One factor may be its compatibility with Postgresql, enabling talent with existing SQL skill sets to immediately handle and enable access to massive volumes of data; an...

August 18, 2015

5 Tips to Optimize Fluentd Performance

We’ve rewritten the Ruby supporting MessagePack, the highly efficient binary serialization format used internally. (MessagePack was invented by TD‘s co-founder Sadayuki Furuhashi)......

August 17, 2015

Treasure Data at LinuxCon North America 2015

Eduardo Silva, a member of our Open Source Engineering team, will be presenting a session titled Unifying events and logs into the cloud. If you are interested in learning more about unifying log data in a structured way, please join us!......

August 11, 2015

Making Magic with pandas-td

Magic functions enable common tasks by saving you typing. (NOTE: Pandas itself doesn't have magic functions; the IPython kernel does.) Magic functions are functions preceeded by a % symbol. Magic functions have been introduced into pandas-td version 0.8.0! Toru Takahashi from Treasure Data walks...

5 Use Cases Enabled by Docker 1.8’s Fluentd Logging Driver

Docker 1.8 is coming soon! One of the major items in the 1.8 releases is its support for Logging Driver. We are really excited about this progress. To quote Simon Hørup Eskildsen’s recent blog “Why Docker is Not Yet Succeeding Widely in Production......

Pandas: A Crash Course

Starting on the premise that data can be “..too small to be big data, but too big to be stupid about it,” we are taken through a Pandas crash course. The talk touched on several areas, including:......

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