Shiseido
Shiseido unified data on experience, demographics, and offline purchases with Treasure Data.
Muji
MUJI unifies millions of customer profiles across web, mobile and 400+ stores globally to delight customers
Dentsu
Dentsu transformed how their Fortune 500 clients run their business with scalable DMPs built on Treasure Data.
Grindr
Grindr, the largest online LGBT community, uses Treasure Data to make their platform safer and more engaging.
Gree
GREE accelerated their analytics efforts by simplifying their customer analytics efforts on Treasure Data.
Kapost
Kapost has centralized sales, marketing & product data on Treasure Data to increase revenue & ensure operational excellence.
Wish
Wish transforms online shopping from search-centric to recommendation-powered and rises to No. 1 mobile commerce platform.
Mobfox
Mobfox uses Treasure Data to analyze trillions of impressions each month to bring clarity to their advertising partners.
Dashbid
DashBid uses Treasure Data to find profitable signals in the noise of ad exchange data to optimize their yield.
White Paper: Treasure Data as Customer Data Platform
Learn how leading brands and digital disruptors use Treasure Data to practice modern marketing
Introduction to Customer Data Platforms
High level overview of the value and importance of CDP's to marketing, sales and BizOps teams. Co-written with industry leader David Raab.
Data Stack Considerations - Build vs Buy at Tout
Growing from an in-house data analytics solution to an outsourced model with Treasure Data and Looker.
The Magic of Presto
Presto is an open source distributed SQL engine, originally developed by Facebook for their massive Hadoop data warehouse. We'll cover Presto architecture and discuss the technology behind the project.
How We Manage More than 1,800,000 API Calls Per Minute with Less than 5 Engineers
Grindr, a leading mobile dating app used by 2,000,000 daily active users in 196 countries, overcame a series of data collection and analytics challenges while making both development and business teams happy.
Microservices and Modern App Architecture
We'll provide a crash course on microservices, focusing on high-level architectural and strategic concerns along with best practices and architectural considerations in this video.
Data Science Reading List
We've curated a list of links, as well as publications, to help you get started with learning data science.
From Excel to SQL
Work with Excel pivot tables? You’re closer to SQL than you think.
Everything about HQL
Regardless of your level, this 33-page guide has something for you.
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!
Kafka Guide
Learn how to setup and integrate Apache Kafka and Fluentd so you can centralize your data.
Improve Dating Services Retention
Read about Tailoring Recommendations and Custom Analytics.
451 Research Impact Report
In this expert report from 451 Research, find out how Live Data Management and Treasure Workflows change the game in managed data analytics services.
Integrating Zapier with Treasure Data
Learn how to import any data source into Treasure Data with Zapier.
How to Ingest Data from Kinesis to Treasure Data
Learn how to ingest data from Amazon Kinesis to Treasure Data with Amazon Lambda and REST API.
Search Salesforce Data Faster
Learn how to search SFDC data faster with Treasure Data with Elasticsearch.
Analyze Massive CSVs
Learn how to use Treasure Data to analyze and visualize massive CSVs
Airflow: Workflow Engine Best Practices
Maxime Beauchemin, the creator of open source workflow engine Airflow, talks about workflow engine best practices.
Pandas: Python Data Tools
Chang She, the early contributor to Pandas, shares the lessons learn on building open source data tools.
Treasure Data Product Overview
Learn how to move data from MySQL to Redshift without any frustrations.
Redshift COPY Guide
This guide takes you through sample COPY commands and syntax, importing data from different Amazon data sources, and more.
Shiseido
Shiseido unified data on experience, demographics, and offline purchases with Treasure Data.
Muji
MUJI unifies millions of customer profiles across web, mobile and 400+ stores globally to delight customers
Dentsu
Dentsu transformed how their Fortune 500 clients run their business with scalable DMPs built on Treasure Data.
Grindr
Grindr, the largest online LGBT community, uses Treasure Data to make their platform safer and more engaging.
Gree
GREE accelerated their analytics efforts by simplifying their customer analytics efforts on Treasure Data.
Kapost
Kapost has centralized sales, marketing & product data on Treasure Data to increase revenue & ensure operational excellence.
Wish
Wish transforms online shopping from search-centric to recommendation-powered and rises to No. 1 mobile commerce platform.
Mobfox
Mobfox uses Treasure Data to analyze trillions of impressions each month to bring clarity to their advertising partners.
Dashbid
DashBid uses Treasure Data to find profitable signals in the noise of ad exchange data to optimize their yield.
Everything about HQL
Regardless of your level, this 33-page guide has something for you.
Redshift COPY Guide
This guide takes you through sample COPY commands and syntax, importing data from different Amazon data sources, and more.
Improve Dating Services Retention
Read about Tailoring Recommendations and Custom Analytics.
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!
From Excel to SQL
Work with Excel pivot tables? You’re closer to SQL than you think.
Integrating Zapier with Treasure Data
Learn how to import any data source into Treasure Data with Zapier.
Data Science Reading List
We've curated a list of links, as well as publications, to help you get started with learning data science.
Search Salesforce Data Faster
Learn how to search SFDC data faster with Treasure Data with Elasticsearch.
How to Ingest Data from Kinesis to Treasure Data
Learn how to ingest data from Amazon Kinesis to Treasure Data with Amazon Lambda and REST API.
Kafka Guide
Learn how to setup and integrate Apache Kafka and Fluentd so you can centralize your data.
White Paper: Treasure Data as Customer Data Platform
Learn how leading brands and digital disruptors use Treasure Data to practice modern marketing
451 Research Impact Report
In this expert report from 451 Research, find out how Live Data Management and Treasure Workflows change the game in managed data analytics services.
Introduction to Customer Data Platforms
High level overview of the value and importance of CDP's to marketing, sales and BizOps teams. Co-written with industry leader David Raab.
The Magic of Presto
Presto is an open source distributed SQL engine, originally developed by Facebook for their massive Hadoop data warehouse. We'll cover Presto architecture and discuss the technology behind the project.
How to Ingest Data from Kinesis to Treasure Data
Learn how to ingest data from Amazon Kinesis to Treasure Data with Amazon Lambda and REST API.
Pandas: Python Data Tools
Chang She, the early contributor to Pandas, shares the lessons learn on building open source data tools.
How We Manage More than 1,800,000 API Calls Per Minute with Less than 5 Engineers
Grindr, a leading mobile dating app used by 2,000,000 daily active users in 196 countries, overcame a series of data collection and analytics challenges while making both development and business teams happy.
Airflow: Workflow Engine Best Practices
Maxime Beauchemin, the creator of open source workflow engine Airflow, talks about workflow engine best practices.
Search Salesforce Data Faster
Learn how to search SFDC data faster with Treasure Data with Elasticsearch.
MySQL to Redshift
Learn how to move data from MySQL to Redshift without any frustrations.
Analyze Massive CSVs
Learn how to use Treasure Data to analyze and visualize massive CSVs
Treasure Data Product Overview
Learn how to move data from MySQL to Redshift without any frustrations.
Integrating Zapier with Treasure Data
Learn how to import any data source into Treasure Data with Zapier.
Data Stack Considerations - Build vs Buy at Tout
Growing from an in-house data analytics solution to an outsourced model with Treasure Data and Looker.
Microservices and Modern App Architecture
We'll provide a crash course on microservices, focusing on high-level architectural and strategic concerns along with best practices and architectural considerations in this video.