Fluentd Meetup (and Docker Integration) !
0We are happy to announce that we will be hosting our meet up! Feel free to join us, today, to attend our presentation. We will talk about......
Flink Fast
0After the intro, Robert Metzger from Data Artisans kicked things off with a community update. He then walked through the history of Flink, in the process uncovering some of the rationale for the path its development and evolution have taken......
Fluentd v0.12.14 has been released!
0In this release an important fix was to merge in the out_forward plugin preventing the UDP heartbeat bug. This was possible through the addition of the new dns_round_robin option. Users of the latest td-agent version are not affected by this problem......
Treasure Data Python Client; MySQL, PostgreSQL, and Jira connectors; and more
0TD 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......
Open Source: Treasure Data Sponsoring FISL16
0It’s well known that TD 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......
Collecting All Docker Logs with Fluentd
4Just 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 seamlessly......
Data Engineering 101: Integrating MongoDB and Treasure Data
0When 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......
Data Science 101: Interactive Analysis with Jupyter, Pandas and Treasure Data
0TD gives you a cloud-based analytics infrastructure accessible via SQL. Our interactive engines like Presto give you the power to crunch billions of records with ease. As a data scientist, you’ll still need to learn how to write basic SQL queries......
Apache Flink: General Analytics on a Streaming Dataflow Engine
0This 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
0In 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...