Big data is a powerful tool, as well, necessary for the functioning of modern-day business.
Note: If you did not get to read the previous post in this series click the link : https://www.abigdatablog.com/post/series-1-what-is-big-data-part-1-an-introduction
Welcome to the blog post about Big Data - Series 1.
If you did not get to read the previous post in this series click the link :
Big data is a powerful tool, as well, necessary for the functioning of modern-day business. Given how competitive the business world is, underestimating the benefits of big data will be a big mistake.
What is Big Data
“ The term Big Data refers to a massive volume of data; Data that cannot be stored or processed by traditional data storage or processing technologies. Big Data generated at an enormous scale, and it is being used by many companies to process and analyze to uncover insights and improve the business of many organizations. ”
Given how competitive the business world is, underestimating the benefits of big data will be a big mistake.
Why is Big-data different from other data?
The traditional databases are very much structured data with a predefined model and architecture. As well, the conventional databases are slow in storing and processing data. The traditional systems do not have the bandwidth to store and process the data with the required speed.
The Big-data, on the other hand, is the modern data structure; A data structure comes in different formats from multiple types of sources. The form of the data is not specific; some of the data types are text and un-structured most of the time. So, the traditional databases are not an excellent fit to store, process, and analyze the data.
The #Big-data is resilient to unstructured data storage and processing capabilities. The Big-data relies on modern architecture; stores data on a distributed and fault-tolerant system.
Big data provides a reliable system and architecture to provide value to the company. Big data replaces the traditional #ETL (Extract, Transform, and load) to #ELT (Extract, Load, and Transform). #ELT removes the complexity and delay in providing the data for the decision-making process.
Categorizing Big Data
“ We can categorize Big Data into three; they are Structured Data, Semi-Structured Data, and Unstructured Data. ”
Characterizing Big Data
“ The massive amount of data, so there is a high volume."
"There is a vastly different format the data is collected, so there is enormous variety."
"The accumulation of the data is high with speed in the collection, so there is high velocity.”
Advantages of Big Data
Big Data Technology has given us multiple benefits:
Big Data has enabled predictive analysis, which can save organizations from operational risks, grow business, understand the customer need, patient records, etc.
Big data help with root cause analysis of failures in real-time.Understand customer buying habits and generate customer offers in real-time.Improve customer engagement and increasing customer loyalty
Big-data helps with data-driven marketing.
Big data provides lots of data and a considerable amount of history for decision making.
Big data provides data accessible, precise, and timely for decision making.
Conclusion:
Big data provides a reliable system and architecture to provide value to the company. Big Data can be intimidating, but the business has an advantage with competitors; when the Big-data technology accompanied by proper data architecture and data management solutions.
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