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March 24, 2015

Treasure Data Joins the Linux Foundation

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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,......
March 20, 2015

Presto versus Hive: What You Need to Know

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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...
March 17, 2015

5 Tips to Quickly Spin Up Analytics Projects

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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...
March 13, 2015

Treasure Data Senior Engineer to Present at FOSSASIA

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On March 13th-15th, one of the biggest FOSS events in Asia will take place in Singapore: FOSSASIA. TD is excited to interact with the community and participate as a sponsor. Additionally, TD Senior Engineer Masahiro Nakagawa......
March 12, 2015

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

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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 ...
March 10, 2015

Nobody Likes Sponsored Talks at Strata

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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......
March 6, 2015

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

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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...
March 3, 2015

Treasure Data to Salesforce: Augmenting your Customer Intelligence

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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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