Big Data Write For Us – Big data is a massive collection that grows exponentially over time, and this data is so large and complex that no traditional data management tools can efficiently store or process it. Big data is also data but with enormous size.
What is Big Data?
Big data combines structured, semi-structured, and unstructured data collected by organizations that generate insights and can be used in machine learning projects, predictive modeling, and also other progressive analytics applications.
Systems that develop and store big data have become a standard part of enterprise data management architectures, combined with tools that support big data analytics. The three Vs. often characterize Big Data:
- the big volume of data in many environments;
- the wide variety of data types usually stored in extensive data systems; And
- the speed at which much data is created, collected, and processed.
These features were first identified in 2001 by Doug Laney, then an analyst at the consulting firm Meta Group Inc.; Gartner further popularized them after the Meta Group acquisition in 2005. More recently, various other Vs. have been added to multiple descriptions of big data, including veracity, value, and variability.
Although Big Data does not correspond to a specific volume of data, Big Data implementations often include terabytes, petabytes, and even exabytes of data created and collected over time.
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Guest Post With Us!
Techies Republic appreciates companies and bloggers who create excellent and valuable content. After completing the evaluation process, your content will be published on our website to inform readers effectively. Techies Republic enables people to reach a larger audience eager to read content as great as yours. However, blogs created by humans should be related to Big Data; therefore, domain or branch content may not be published on our website. Instead, we seek people with quality content to meet the audience’s needs.
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- Amazon Web Services:
- Big Table
- Distributed File System
- Data Scientist
- Google App Engine
- Internet of Things
- Natural Language Processing
- Predictive Analytics
- Software-As-A-Service (SAAS)
- Structured v Unstructured Data
- Understanding Big Data
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