Introduction to Oracle Big Data Cloud Service – Compute Edition (Part I)

Over the last few years, Oracle has dedicated to cloud computing and they are in a very tough race with its competitors. In order to stand out in this race, Oracle provides more services day by day. One of the services Oracle offers to the end user is “Oracle Big Data Cloud Service – Compute Edition”. I examined this service by creating a trial account, and I decided to write a series of blog posts for those who would like to use this service.

In my opinion, the most difficult part of creating a Big Data ecosystem is to run many open source software projects together, and integrate them with each another. There are 3 major players on the market to help end-users to build an integrated and tested solution for big data: Cloudera, Hortonworks and MapR. Oracle has partnered with Cloudera to build the Oracle Big Data Appliance and Oracle Big Data Cloud Service. They also offer “Oracle Big Data Cloud Service – Compute Edition” based on Hortonworks. Creating “Oracle Big Data Cloud Service – Compute Edition” is simple. You get a ready-to-use big data cluster in about 15 minutes after giving the basic information such as the name of the cluster, the number of servers (nodes), CPU and disk sizes for each node, and the administrator password.

First, let’s create an “Oracle Big Data Cloud Service – Compute Edition”. After you create our test account for Oracle Cloud, you are log in to the “Oracle Cloud” dashboard. Using this dashboard you can see all your services and add new services at the same time.