Big data refers to data sets that are too large or complex for traditional data-processing application software to adequately deal with. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity.Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.
Resources:
1. Big Data Specialiazation
2.Big Data Modeling and Management Systems
3. Big Data Integration and Processing
4. Introduction to Big Data
5. New security and privacy issues Big Data users will face in 2019
6. 4 Ways To Take Big Data And SEO To The Next Level
Keywords: big data,Data Science
Resources:
1. Big Data Specialiazation
2.Big Data Modeling and Management Systems
3. Big Data Integration and Processing
4. Introduction to Big Data
5. New security and privacy issues Big Data users will face in 2019
6. 4 Ways To Take Big Data And SEO To The Next Level
Keywords: big data,Data Science
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