Perspective - Treasure Data Blog - Part 25

Perspective Category

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 ...

December 22, 2014

Web Analytics with Treasure Data – Ask the Tough Questions

Like you probably do, I use Google Analytics for basic web analytics. It provides a quick view into how traffic is growing on TD and several other domains we own. It also provides an easy view into the paths th...

December 5, 2014

Learn SQL by Calculating Customer Lifetime Value Part 1: Setup, Counting and Filtering

Motivation As far as technical skills go, SQL is a really nice skill to have for product managers and product marketers. Instead of constantly running into performance issues in Excel or begging "technical" pe...

October 30, 2014

From Business Analyst to Data Scientist: the 4 S’s

I used to work in finance as a quantitative analyst, a role best described as “data scientist in finance.” Because of that, my friends with a business background sometimes ask me how they can prepare themselves to become data scientists. “Do I need to know machine learning?” “R or Python?�...

A Cool Vendor

Our latest news has us really excited: prestigious research and analyst firm Gartner has named us one of four Cool Vendors in Big Data, 2014! With so many technology vendors launching in the past few years, we were thrilled that Treasure Data garnered a spot in the information technology and researc...

Fluentd: Meetup at Slideshare’s New Office!

If you are an infrastructure engineer who’s done spending hours and days on debugging your logging infrastructure or a developer who wants to have a robust logging solution without reinventing the wheel or just curious about......

December 12, 2012

Attack of the Hadoop Hybrids

As if IBM and EMC crashing the Hadoop party wasn't strange enough, now it seems that every data warehousing, database and appliance vendor has a Hadoop co-existence story and, in many cases, a hybrid architecture that they claim provides a best of both worlds solution to data warehousing / big data ...

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