Why use the cloud for big data analytics?
The definition of big data has changed drastically in the last 2 decades. Now, there is a massive amount of data coming from various sources. This data can be structured, unstructured, or semi-structured. We see large technology organizations, such as Amazon, Google, Meta, and so on, flourishing as they can get insight from user data and utilize it for customer benefits, thus growing their business multifold. IDC says, “The Global DataSphere is expected to more than double in size from 2022 to 2026,” (Source – https://www.idc.com/getdoc.jsp?containerId=US49018922).
Now, it’s normal for organizations to have multi-terabytes or petabytes of data, and you want to gain new insights to use the power of this collected data. You must easily access and analyze all data types, such as log files, clickstream data, voice, and video. But your team may require diverse skills and tools. You need to enable your team and applications...