The document discusses big data analytics at a company. It describes how the company's various services produce large amounts of unstructured data from different sources and domains, which falls under big data. It explains how big data analytics converts this unstructured data into a useful data product for the organization by managing and controlling the data efficiently. Currently, the company uses Microsoft Azure services to manage the data, but wants to implement Spark on its own Kubernetes cluster to reduce costs of using Azure services.

1. Big Data
Analytics

2. Overview
PROBLEM STATEMENT
01
TECHNOLOGY LEARNT
02
FLOWCHART OF THE
SYSTEM
03
TASKS EXECUTED
04 05
REFLECTION OF INTERNSHIP

3. ● In company they are providing various major services to their clients
from different domains. These all services produce data in large
quantities which falls under big data.
● The process of converting large amounts of unstructured data,
retrieved from different sources to a data product useful for
organization forms the core of big data Analytics, which help to
manage and control organization data in efficient and robust form.
● At present we are using Microsoft Azure and its services to manage
all this data. In Order to reduce the cost of using these services we
need to implement spark on our own kubernetes cluster in an effective
way.
01 Problem Statement