Well, Big Data is really big, it’s the colossal amount of structured and unstructured data, and in order to utilize Big Data for the benefit of your organization, you need to follow some innovative approaches. This is one of the reasons that cloud services providers like AWS (Amazon Web Services) are offering cost-effective powerful approaches for supporting and analyzing Big Data. Generally priced on the basis of per-use, these innovative cloud services are all set to revolutionalize the ways we understand and pursue our businesses.
Though the Big Data offerings by AWS are a bit confusing, but as you start knowing them, they become your best friends.
Go With The Flow
The first problem which you may encounter and need to consider with the Big Data Analytics in a public cloud, whether it is provided by AWS or any other company is Data Integration. You need to ensure that your data flows from your organization’s operational data stores towards your Big Data Systems systematically, as most likely these systems will be in the cloud.
To support this kind of data transfer, AWS provides “AWS Direct Connect” which is capable of moving Big Data in and out of the cloud. Though it is not very fast in moving the data, but since it is free, you can always use it when you do not need data transfer in the real time.
“Amazon Kinesis” is another middleware type service that supports real time processing of the Big Data streaming. It provides support for the data throughput up to gigabytes of data per second, and it is even capable of handling streams from thousands of varied data sources.
Moving out from the middleware towards the actual databases, the AWS services also possess a mix of NoSQL and SQL database technology. One of the NoSQL datapabse facilitated by Amazon is “Amazon DynamoDB” which is considered as valuable by a number of organizations. It provides single digit millisecond latency and guaranteed throughout which makes it a perfect fit for the Big Data projects where one of the mandatory requisites is the quick interaction with data, for instance, in case of mobile computing support.