Customer Data Platform Blog for Industry Leaders

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 more robust...

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......

Open Source’s Main Advantage is NOT Cost

Let's start with a trick question: How much does MySQL cost Facebook every year? Depending on whom you ask, the answer ranges from “nothing” to “millions of dollars every year.” True, the MySQL software is free; it costs nothing for anyone to download it. What's more, it's free for anyone...

The 4 Important Things About Analyzing Data Part 2: Understand the Purpose of the Analysis and Who Needs the Results

Before analyzing data, it is important to first clearly understand for whom and for what purpose you are conducting the analysis. This is essential because analytics assist humans in making decisions. Therefore, conducting the analysis to produce the best results for the decisions to be made is a...

New Release of Treasure Agent: Improved Portability, Enhanced Performance

Since September of last year, we have been working on a new version of the Treasure Agent streaming data collector. After extensive testing with production workloads, we’re proud to announce the new version of Treasure Agent......

Why the Unified Logging Layer Matters

The amount of logs produced today is staggering. The logs provide opportunities for analysis to better understand customers and continually improve products. The log collection pipeline, then, becomes a source of valuable data. Collecting and unifying the data for better consumption and analysis ...

Treasure Data Joins the Linux Foundation

Today is a big step forward for our customers and community in general, as we officially join the Linux Foundation. As you may know, our company is driven by an open source culture: We believe that continuous innovation,......

Presto versus Hive: What You Need to Know

There is much discussion in the industry about analytic engines and, specifically, which engines best meet various analytic needs. This post looks at two popular engines, Hive and Presto, and assesses the best uses for each. How Hive Works Hive translates SQL queries into multiple stages o...

5 Tips to Quickly Spin Up Analytics Projects

Data analysis and data science are two of the most highly sought after skills in the data world, and people with these skills are typically passionate about discovering insights through analytics. But data prof...

Four Reasons Presto is the Best SQL-on-Hadoop (That You Haven’t Heard Of)

Presto is an in-memory distributed SQL query engine developed by Facebook that has been open-sourced since November 2013. Presto has a number of key advantages over other SQL-on-Hadoop engines, yet these benefits are not widely recognized or understood. Reason #1: Presto is Plenty Fast Unlike ...

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The new table stakes for CPG? CDPs, says Futurum Research Learn why