Enterprise Customer Data Platform - Treasure Data Blog - Part 29

Customer Highlight: Business Operations, Accelerated

Building Full-Funnel Metrics in a Siloed World Kapost knows better than anyone that non-data-driven companies are being left behind. They've staked their entire company on it. And the business world agrees, with high-profile companies such as AT&T, IBM, and LinkedIn signing up for their uni...

Video: Managing Infrastructure vs. Driving Business Results at Wish

Wish, the “shopping mall in your pocket” startup that boasts a three billion dollar valuation, takes data very, very seriously. According to Wish Data Engineer Samson Hu, building a great e-commerce recommendation engine is a data infrastructure problem. In this short video, he talks about how...

Meetup: Logging & Docker in Production

On June 16, TD hosted a meetup focusing on Logging and Docker in production. With around 65 enthusiastic attendees, and two of the best known authorities speaking on their respective technologies, Docker and......

New Treasure Data Console in Public Beta

All companies have data, but not all companies are data-driven. Being data-driven means looking at data before you make decisions. For this to happen, every decider in your company needs fast, on-demand access to fresh data......

Customer Highlight: Scaling The Insights

As an international digital advertising giant, Dentsu has long understood the importance of performance metrics. Their innovations in data-driven marketing have helped global brands such as Toyota, Honda, and Sony establish and maintain......

Treasure Data Releases Latest Version of Open Source Phenomenon Fluentd, Joins the Cloud Native Computing Foundation (CNCF)

This new release supports Windows, as well as revamping the Plugin API in order to streamline the process for writing custom plugins......

Fluentd, Kubernetes and Google Cloud Platform – A Few Recipes for Streaming Logging

Actually, it’s that very last point that lends a crucial understanding to how fit is configured. It’s all about how we handle the different elements of the stream: where we get that data from, what we do wi...

Redshift v. BigQuery: Similarities, Differences and the Serverless Future?

In broad strokes, both BigQuery and Redshift are cloud data warehousing services. Honestly, the similarities are greater than the differences, and if you are looking to graduate from MySQL/PostgreSQL/SQL Server for analytics or moving away from expensive perpetual license MPP databases, you can't re...

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