Perspective - Treasure Data Blog - Part 24

Perspective Category

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......

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...

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, ...

February 27, 2015

Eliminating Schema Rot in MPP Databases Like Redshift

The MPP database is an incredible piece of technology. These databases run large-scale analytic queries very quickly, making them great tools for iterative data exploration. With a cloud offering like Redshift ...

February 17, 2015

StrataConf by the Numbers: As Hadoop Stoops, Machines Learn and Spark

With my third Strata + HadoopWorld conference around the corner, I decided to do a bit of data analysis to search for any overarching trends for this massive convention by/for/of data nerds. As a former data...

February 5, 2015

Learn SQL by Calculating Customer Lifetime Value Part 2: GROUP BY and JOIN

This is the second installment of our SQL tutorial blog series. In the first part, we set up the data source with SQLite and learned how to filter and sort data. This time, we will learn two other key concepts ...

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Forrester Study: The Total Economic Impact™ of Arm Treasure Data Download Report