Category Archive for: "Technology"

The Data Drive Podcast, Episode 1: Ian Johnson and D3.js

At Treasure Data, we've started this month with a new podcast: The Data Drive. In our series, we survey cutting-edge technologies in the data analytics space, and interview their inventors, contributors, and po...

Testing Big Data in Pandas with AWS EC2 Instance R3.8xlarge

Amazon Web Services EC2 is an extremely powerful cloud computing technology. In particular, R3.8xlarge instance is recommended by Amazon for “high performance databases, distributed memory caches, in-memory analytics, genome assembly and analysis, Microsoft SharePoint, and other enterprise applica...

Rolling Retention Done Right in SQL

SaaS's Most Important Metric: Retention If you are a product manager or in a growth role at a SaaS company, rolling retention (also called cohort analysis) is a key metric to monitor your growth. It's so important that every analytics service worth their salt (Google Analytics, Mixpanel,...

Routing Data from Docker to Prometheus Server via Fluentd

See the video of the full integration here: https://www.youtube.com/watch?v=uyu-GeAM-xk&feature=youtu.be Possibly the best way to build an economy of scale around your framework, whatever it is, is to...

Webinar sum-up: Introducing the new Treasure Data Console

Recently, we released the latest Treasure Data Console as a public beta. We also produced a short webinar last week explaining the main goals of the new release. If you missed it, you can get a summary here. Those main goals are: Goal 1: Performance Compared to when we began, we have a lot more...

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, Treasure Data 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 Fluentd, this meetup was definitely a hit! Logging for Production Systems ...

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. Today, we're excited to announce the public preview of something that do...

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

Maybe you already know about Fluentd's unified logging layer. Maybe you are already familiar with the idea that logs are streams, not files, thus it's necessary to think of a logging layer dynamically this way....

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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