Customer Data Platform Blog for Industry Leaders

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 ...

Nobody Likes Sponsored Talks at Strata

Between my booth duties and collecting swag at various other booths, I was only able to attend a couple of the talks. Curious about what I missed, I decided to collect some data to see what was popular and how I can optimize my time at the next Strata......

The 4 Important Things about Analyzing Data Part 1: The Importance of Providing Many ‘Obvious’ Results

In the past few years, mass accumulation of data has increased. Meanwhile, the distributed parallel processing of the data has matured. Although the original focus was on the analysis back end (platforms) to support the accumulation of data and the efficiency of the batches, I believe that the imp...

Treasure Data to Salesforce: Augmenting your Customer Intelligence

In most organizations, there is an information gap between Sales and Marketing and Engineering. For example, Sales and Marketing typically manages CRM data, whereas customer activity data coming from websites, ...

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