Enterprise Customer Data Platform - Treasure Data Blog - Part 35

Treasure Data Python Client; MySQL, PostgreSQL, and Jira connectors; and more

Treasure Data has made Python the glue for your end-to-end data analytics pipeline. Now it's easier than ever to link your data science toolkit directly to a robust and infinitely scalable data storage and analytics pipeline in the cloud and be up and running in minutes! Maybe you're brand new to...

Open Source: Treasure Data Sponsoring FISL16

It's well known that Treasure Data promotes open source. We have contributed to numerous open source projects and created some of our own. Our service is built atop open source components relevant to our core business. One of our most relevant solutions is Fluentd, an open source data collector th...

Collecting All Docker Logs with Fluentd

Logging in the Age of Docker and Containers Just in case you have been offline for the last two years, Docker is an open platform for distributed apps for developers and sysadmins. By turning your software into containers, Docker lets cross-functional teams ship and run apps across platforms seamle...

Data Engineering 101: Integrating MongoDB and Treasure Data

When trying out different database or data storage backends, the choice of which to use – and for which part of your architecture – can be a tradeoff: Do I want excellent latency control, or do I need literally effortless – and potentially infinite – scalability? Do I prefer to work with...

Data Science 101: Interactive Analysis with Jupyter, Pandas and Treasure Data

In case you were wondering, the next time you overhear a data scientist talking excitedly about “Pandas on Jupyter”, s/he's not citing the latest 2-bit sci-fi from the orthographically challenged! Treasure Data gives you a cloud-based analytics infrastructure accessible via SQL. Our interac...

Apache Flink: General Analytics on a Streaming Dataflow Engine

This is a guest blog from Kostas Tzoumas, of dataArtisans and committer at Apache Flink. Apache Flink® is a new approach to distributed data processing for the Hadoop ecosystem. Flink's approach is to offer familiar programing APIs on top of an engine that has built-in support for: Stream...

The 4 Important Things About Analyzing Data Part 3 & 4: Recognize You Can’t Do It All and Show Your Value

In this blog series highlighting the four important things about analyzing data, so far we've talked about the importance of delivering many obvious results and the need to accurately understand the purpose of the analysis. Throughout the discussions, we've used the word “analysis” to describe t...

Join us for the Upcoming Webinar: Data Science at Pebble!

Are you curious about analytics within wearables companies? We are happy to announce that we are hosting a webinar with smartwatch maker Pebble. Join us to hear about the importance and impact of data science and analytics at the company. Time: June 2, 2015@10AM PDT Presenter: Susan Holcom...

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