Xplenty's Blog - All Things Data - page 19 · Page 19

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Big Data

Designing a Big Data Warehouse on the Cloud

In our previous post , we discussed Mad Men and how to design a data warehouse in the space age of Big Data. This post will take another step forward,...

Big Data

Designing a Data Warehouse in the Age of Big Data

In "The Monolith", the fourth episode in Mad Men’s final season, a huge computer is installed in the center of the floor. The computer was brought in because a competing...

Features and Updates

Xplenty Now Provides Direct Access to Relational Databases

Xplenty now provides the capability to directly access source data from relational databases. You can use the new Database Source component to read data directly from Postgres, MySQL and Amazon...

Big Data

Using Regular Expressions in Big Data

A regular expression, AKA regex, is a powerful yet really confusing tool. Although regular expressions are the technology behind text replacement and natural language processing, they are hard to read,...

Big Data

Processing Unstructured Data 101

Unstructured data is big - according to IDC, about 90 percent of the storage in the world is used for unstructured data. It comes as no surprise considering the amount...

Big Data

Cloud Data Integration with MongoHQ and Xplenty

Xplenty loves MongoDB. We’ve already guided you how to integrate with MongoLab, and now we’ll show you how to do data integration on the cloud with Xplenty and MongoHQ.

Big Data

Improving Pig Data Integration Performance with Join

Did you know that choosing the right join type for your data could improve your data integration performance? Given certain data sets, Pig provides several join algorithms that process them...

Big Data

Data Cleansing Big Data: Scrubbing the Elephant

According to the Elephant Care Manual for Mahouts and Camp Managers: "It is essential to cleanse the elephant's body carefully every day by using half of a coconut shell to...

ETL

Amazon EMR vs. Xplenty

Amazon launched Elastic Map Reduce (EMR) to make Hadoop easier, but there were still too many Hadoop hoops to jump through before processing Big Data. That’s why we founded Xplenty....

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