Customer Data Platform Blog for Industry Leaders

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......

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

TD 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

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...

Big Data Simplified: Why it Matters [Infographic]

Do you really know the value of data and its impact on your bottom line? This infographic highlights real dollar benefits of data-driven decisions and ways to simplify the data collection, access, and analysis of massive data volumes. (more…)...

Ruby 101 and Data Collection with Iron.io and Treasure Data

Here at TD, we aim to give you all the tools you need to need to ramp up with data collection starting with the basics, using a programming language or environment of your choice as well as the TD Service itself, and......

Hackers’ Alternative to Marketo: Treasure Data + Heroku + SendGrid

It is no secret that email marketing continues to be inbound marketers’ best weapon. (For a good overview of customer lifecycle emails, read this great write-up by Patrick McKenzie.) It’s also no secret that there are many fantastic tools......

4 Ways AdTech Uses Treasure Data’s Open Source Software

Like many cloud services, TD has been a huge beneficiary of open source software. For example, we have adopted and modified Hive and Presto for our distributed processing back end and made several key contributions back to Presto......

Tableau and Treasure Data: From Logging to Visualization

Previously, we looked at how to log events from our very simple Python “Rock, Paper, Scissors” app. While there are many types of logs (error logs, sensor logs, event logs, payment, and CRM logs, to name a few), the principle is effectively the same......

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The new table stakes for CPG? CDPs, says Futurum Research Learn why