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UDP: A New Partitioning Strategy Accelerating CDP Analytic Workloads

In our company the customer’s data is stored in our proprietary storage system called PlazmaDB. This storage system is composed of PostgreSQL and Amazon S3. PostgreSQL is used to hold the metadata of the partitions in Amazon S3 such as S3 path, database name, and index.

Use AI to Cleanse Salesforce Job Title Data in Treasure Data

Bring up the word AI and people think of science fiction, of extraordinary near-magical feats of advanced data processing. But some of the most remarkable displays of AI power in marketing and business operations are involved in doing seemingly mundane things...

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 with it when we get it,...

Move your data – from MySQL to Amazon Redshift (in less time than it takes to ignore an index!)

Redshift, as you may already know, is quickly gaining broad acceptance, especially among consumers of free software like MySQL and PostgreSQL, for its “pay as you go” pricing model. However, the same pricing model can still make it a very expensive one. Not all queries need to be done against the Redshift instance itself, as ... Move your data – from MySQL to Amazon Redshift (in less time than it takes to ignore an index!)

5 Tips to Optimize Fluentd Performance

We’ve rewritten the Ruby supporting MessagePack, the highly efficient binary serialization format used internally. (MessagePack was invented by TD‘s co-founder Sadayuki Furuhashi)...

Collecting All Docker Logs with Fluentd

Just in case you have been offline for the last two years, Docker is an open platform for distributed apps for developers and sysadmins. By turning your software into containers, Docker lets cross-functional teams ship and run apps across platforms seamlessly...

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...

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 ... Python 101 for Aspiring Data Nerds

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...