Cloud Computing: Cloud Computing is a technique in which a network of remote servers is hosted on the Internet. These servers primarily store the data, manage the data, and process the data. But this is not done by a local server or a personal computer.
In short, data here is gathered on the internet. Thus, eliminating the use of a physical server.
Cloud Computing doesn’t depend on data analytics for anything.
Data Analytics: Data analysis is defined as a process where data is inspected, cleaned, transformed, and modeled. The primary aim of data analytics is to discover information that is useful. So that a conclusion is made which further helps in the decision-making process of a company.
In data analytics, the data is measured and estimated from big data sources.
Data storage is done on cloud and data analytics involves the extraction of data. Thus, data analytics depends on cloud computing for data extraction.
Below is a table of differences between Cloud Computing and Data Analytics:
|S.No.||Cloud Computing||Data Analytics|
|1||Data storage and retrieval from whichever place at whatever time.||A process where data is inspected, cleaned, transformed and modelled|
|2||Is independent of data analytics||Is dependent on cloud computing.|
|3||Has solutions to data intensive computing and doesn’t focus on a particular organization.||Works on the improvement of a particular organization|
|4||Involves SaaS (Software as a Service), PaaS (Platform as a Service), IaaS (Infrastructure as a Service)||Involves python, Sas, Apache Spark, etc.|
|5||Is further categorized as public cloud, private cloud, community cloud and hybrid cloud.||Big Data Technology is Hadoop, MapReduce, and HDFS are important aspects|
|6||Cloud Computing providers are Google, Amazon Web Service, Microsoft, Dell, Apple, IBM.||Data Analytics providers are Cloudera, Hortonworks, Apache and MapR.|
|8||Roles related to cloud computing are cloud resource administrator, cloud service provider, cloud consumer, cloud auditor, etc||Roles related to data analytics are data developer, data administrator, data analyst, data scientist, etc.|
Attention reader! Don’t stop learning now. Get hold of all the important DSA concepts with the DSA Self Paced Course at a student-friendly price and become industry ready.