IBM joined the cloud computing market when it bought SoftLayer in 2013. One of the services that it provides is cloud-based storage, just like Amazon S3 and Rackspace. You can use it to store gigabytes or even terabytes of data, but at some point, you will need to analyze that data.
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Amazon is not alone in the cloud: Rackspace, a cloud computing company that was established back in 1998 in Texas, is one of its major competitors. It also founded OpenStack, the open-source operating system for the cloud. So you may have gigabytes or even terabytes of data stored away on Rackspace, but what are you going to do with them?
How do you integrate data from Amazon RDS (Relational Database Service) with data from other sources such as S3, Redshift, or even MongoDB? The answer is Xplenty. Our data integration on the cloud lets you join data from various sources and then process it to gain new insights. What about storing the results back to RDS? No problemo, Xplenty does that as well.
We concentrate on making data processing as fast and easy as possible. To complete the dataflow, Xplenty integrates with a plethora of services that can store, analyze, or visualize data. One of these services is Chart.io, a popular service for data visualization and analysis. You can use Xplenty to process the data and then visualize the results in Chart.io. Here’s how.
Some developers need to process data. Maybe you work in a small startup where people take on several roles, or maybe in an enterprise company where you are asked to deal with Big Data. Either way, if you use Heroku, the most popular platform-as-a-service, there is a new add-on that can help you or the BI guy next door: Xplenty’s data integration on the cloud.
Hadoop is definitely a great solution for processing dark data, but what if you don’t know how to use it? Hadoop requires you to buy new hardware, provide expert maintenance, and hire developers to program MapReduce jobs. Luckily, there is an alternative — Xplenty.