Problem Statement

Deploy a big data management system

Large data repositories are collected, stored, governed, organised, managed, and delivered using various technologies. The term “big data management” refers to all of these processes. Data transfer, integration, and preparation for usage in reporting and analytics can all be a part of it. The concept of data lifecycle management is directly tied to big data management (DLM).

PS Number: PSCCV008

Domain Bucket: Cloud Computing
Category: Software
Dataset : NA

Big data is used by businesses to enhance operations, deliver better customer service, develop individualised marketing campaigns, and carry out other tasks that can ultimately boost sales and profits.

Background of the Problem

Big data management is a broad concept that encompasses the policies, procedures and technology used for the collection, storage, governance, organization, administration and delivery of large repositories of data. It can include data cleansing, migration, integration and preparation for use in reporting and analytics.Big data management is closely related to the idea of data lifecycle management (DLM).

Objective

To ensure a high level of data quality and accessibility for business intelligence and big data analytics applications. Companies use big data in their systems to improve operations, provide better customer service, create personalized marketing campaigns and take other actions that, ultimately, can increase revenue and profits. Businesses that use it effectively hold a potential competitive advantage over those that don’t because they’re able to make faster and more informed business decisions.

Summary

It is an extremely large volume of data and datasets that come in diverse forms and from multiple sources. Many organizations have recognized the advantages of collecting as much data as possible. But it’s not enough just to collect and store big data—you also have to put it to use. It helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers. Businesses that use big data with advanced analytics gain value in many ways, such as: Reducing cost