WEBINARS AND EVENTS

The Magic of Presto: Petabyte Scale SQL Queries in Seconds
February 25th – 10am
Presto is an open source distributed SQL engine, originally developed by Facebook for their massive Hadoop data warehouse. Treasure Data was one of the earliest adopters of Presto and, earlier this year, Teradata has joined the Presto community and announced a multi-year roadmap to accelerate Presto development to make it ready for enterprise users. This webinar will cover Presto architecture and discuss the technology behind the project.  Join us!

GUIDES AND CHEATSHEETS

Amazon Redshift COPY Command Guide
Ever wanted to get up and running in a dynamic Amazon Redshift environment and need a quick path to get up and running? This guide takes you through sample COPY commands and syntax, importing data from different Amazon data sources, and more. Get it now.

Jupyter and Pandas Cheatsheet
If you’ve ever wanted to learn more about how to setup and use Jupyter Notebooks, IPython and Pandas, then this guide is for you! Get the guide.

Kafka Guide
This guide will walk you through the setup and integration of Apache Kafka and Fluentd so you can centralize your data across data sources flexibly and reliably. Receive the guide.

Data Science Reading List
We've curated a list of links, as well as publications, to help you get started with learning data science or engineering. Get the reading list.

Learn SQL: Pivot your Excel skills into SQL
If you already know how to use pivot tables in Microsoft Excel, you’re actually closer to picking up SQL than you think. We’ll look at how it’s typically done in Excel using pivot tables and draw parallels to the SQL queries that do the same thing on much larger datasets. Get Started.
 
Comprehensive Hive Guide: Everything About HiveQL in One Place
Whether you’re a Hive expert looking for a quick reference, or have never written a SELECT statement before in your life, this 33-page guide has something for you. Your copy is available now.

WHITEPAPERS & ANALYST REPORTS

Improve Dating Services Retention
Dating services live and die on the quality of their recommendations. Learn about Tailoring Recommendations, Custom Analytics and Spam Prevention in this impactful case study

VIDEOS

MySQL to Redshift
 If you are moving data from MySQL to Redshift you may have run into some frustrations. The task of building a reliable, scalable and robust data migration pipeline takes time. There is an easy way: Use Treasure Data's MySQL and Redshift Connectors.  Learn how in this video.

How Jupyter & Pandas Can Fast Track Your Analytics Effort
This will walk you through Jupyter Notebook and Pandas and how they can help solve some of the typical problems associated with getting going on your customer analytics project.  Watch now.


What our customers are saying

Susan Holcomb

Susan Holcomb

Head of Data Science

“In the early stages of data analysis, running many queries to understand data is important. Treasure Data has been great for that. The only tool that provided the flexibility we needed.”

Ted Cardenas

Ted Cardenas

VP of Marketing, Car Electronics

“The partnership with Treasure Data was really about the scale...Treasure Data became involved over the past year as we expanded considerably the number of vehicles we have out there collecting this data, and Treasure Data was important as we increased the market size from five or six years with tens of thousands of vehicles to now millions of data points.”

Danny Zhang

Danny Zhang

Co-Founder

“Our engineers no longer worry about maintaining analytics infrastructure... Instead, they focus on how to use the logged data to make our products better.”