How Is Cloud Computing Connected To Big Data & Hadoop

Hadoop, Cloud & Big Data are three terms that has been attracting much attention of late. Courses and certifications in these areas have also seen a surge.

Let us first look into these terms individually and then understand how cloud computing is connected to these technologies

A Brief Look Into Cloud Computing, Big Data & Hadoop

What is Cloud Computing?

Cloud computing refers to the delivery of computing services like storage, databases, servers, networks, software and analytics over the internet. Cloud providers are the companies offering these services . They usually charge for these services based on the usage. Some things the users can do with the cloud are hosting websites/blogs, creating new application/services, streaming audio & video and analysing patterns and making predictions.

What is Big Data?

Big Data refers to the huge volume of data that is generated by enterprises on a daily basis. It is best defined in terms of its five V’s: Velocity,Volume,  Variety, Veracity & Value.

Volume – This refers to the amount of data which is created/generated on a daily basis. The amount of data is estimated to get doubled every 40 months

Velocity – This refers to the speed with which the data is collected. Velocity is important because any enterprise can stay competitive as long as it processes large volumes of data in real time

Variety – This refers to the various sources from which data is collected like social media, smartphones, images and the like

Value: This refers to the worth of the data being collected. Large volumes of data are of no use if it is unable to provide some value to the enterprise/person who collects it

Veracity: This refers to the accuracy and trustworthiness of the data

What is Hadoop?

Hadoop is a form of distributed computing model which is very effective when it comes to handling Big data.

There are three important components in Hadoop which are as follows –

Hadoop Distributed File System (HDFS)– This is a distributed file system which enables data processing using inexpensive computer systems.

Hadoop MapReduce – This feature allows distribution of large volumes of data as well as simultaneous processing of it over computer clusters.

Hadoop Yarn –  This feature enables more efficient way of managing cluster resources.

How Is Cloud Computing Connected To Big Data & Hadoop

Relationship between Cloud & Big Data

Cloud computing is a trend that is influencing the development of technology which in turn has resulted in massive volumes of electronic information. This volume of electronic information sparked the phenomenon called Big Data. Big Data and Cloud go together as the former is concerned with the storage capability in the cloud system, cloud computing utilizes massive storage resources and computing. This way by giving big data application with computing capabilities, big data paves the way to the rapid development of cloud computing.

Cloud computing and big data have a complementary relationship. While rapid growth in big data is considered as a problem, clouds are evolving to provide solutions to this. While traditional storages cannot handle big data, cloud computing is expanding to absorb huge volumes of data as it follows the policy of data splitting. Data splitting is the method of storing data in more than one location or availability area.

Some of the companies that has successfully implemented Big Data in Cloud environment are Google, IBM, Amazon and Microsoft. For an effective fit between both the mentioned technologies, the cloud environment should be altered to suit both data and cloud. Changes such as CPU’s to handle big data should be made on the cloud.

Relationship between Cloud & Hadoop

According to a Forrester report(2014) the growth of Hadoop implementations in enterprises are on the rise. Some of the biggest  suppliers are IBM, Cloudera & Amazon. When it comes to Cloud, it is touted to be an effective solution provider to the upcoming difficulties in processing large and complex data sets. This is because of its agility and flexibility in processing big data which requires huge computing power. Cloud is also the best platform to process both structured and unstructured data. In other words, Cloud & Hadoop together is not just an option, but today’s necessity.

Conclusion

As you can see, cloud computing is very much important to Big Data & Hadoop. To understand cloud computing further, check out the popular SpringPeople cloud computing courses.

 

About Natasha

Natasha

Natasha Manuel is an information analyst at SpringPeople. In her 7+ years of experience in the edu-tech industry, Natasha has led many corporate learning projects and delivered several high impact training programs. She is passionate about technology and its role in effective learning solutions


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