Technology - Treasure Data Blog - Part 16

Technology Category

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...

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......

Python 101 for Aspiring Data Nerds

As a data scientist, or anyone interested in collecting data for that matter, it's no doubt helpful to know about how to go about collecting the data in your app - data that you'll want to later query and analyze. Here, we'll build an app in Python from A-Z, iterate on it to make it more robust...

New UDFs in Presto: currency conversion and geocoding tools

Today, we introduced three new UDFs (user-defined functions) to to TD‘s Presto offering. They are......

Open Source’s Main Advantage is NOT Cost

Let's start with a trick question: How much does MySQL cost Facebook every year? Depending on whom you ask, the answer ranges from “nothing” to “millions of dollars every year.” True, the MySQL software is free; it costs nothing for anyone to download it. What's more, it's free for anyone...

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