Introduction
Managing and analyzing Big data have always provided the most significant benefits and greatest challenges to organizations of all sizes across all countries. Businesses have long struggled to find a rational approach to capture information about their customers, products, and services. When a company had a small number of customers who bought all products similarly, things were straightforward. But as time passed, companies and markets have grown complicated. In reality, we are dealing with a lot of complexity regarding data.
However, each innovation in data management is a fresh start and detachment from the past practices of storing data. Although data management is typically seen through contact lenses, it must be seen from a holistic perspective.
Source: medium
Data management must include technological advances in storage, hardware, networking, and computing models such as virtualization and cloud computing. Because of all these factors, Big Data is the latest trend.
Big Data is any data source with at least three characteristics: Extremely high Velocity of data, vast volumes of data, and a wide variety of data. Big Data is essential because it allows organizations to gather, store, manage and manipulate large amounts of data at the right speed.
Big Data Management
Big data in the data management journey is both really new and an evolution. Because of Big data, it is now possible to virtualize data to be stored efficiently and utilise cloud-based storage also cost-effectively. Improvements in network speed and dependability have removed other limitations of managing a large amount of data at an acceptable speed. With this transition in technology, it is now possible to imagine how companies can leverage data that would not have been possible some years ago.
Based on whether the Data is in motion, data is at rest, there are different approaches to handling data. Data in motion would be used if a company can analyze the quality of its products during the manufacturing process to avoid costly errors. Data in rest would be used by a business analyst to understand better customers' buying patterns based on all aspects of the customer relationship, sales, and social media data.
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