What is Big Data and what types of data does it work with?
Posted: Mon Jan 06, 2025 8:39 am
Big Data for Dummies
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Tuesday, 04 January 2022 08:30
Written by Marcial Varela
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Every WhatsApp message , Google search or credit card purchase generates a huge source of data. This computerized data is collected and analyzed, even in real time, by large companies to achieve competitive advantages in the market. This is the function of "Big Data" .
Big Data finds repetitive patterns within these large data sets, which are really difficult to work with due to the speed at which they are generated and the variety of formats and sources. Therefore, the objective of this discipline is to transform the data into information that opens up a business opportunity .
There are many tools for dealing with Big Data. Some of them are Business Intelligence , Cassandra , Hadoop , Machine Learning , MapReduce and NoSQL . They all work with three types of content:
Structured data: data that appears "ordered" and that companies usually collect in their traditional databases: customer names, date of birth, email, etc.
Unstructured data: Data that is not russia phone data organized in any way, but contains valuable information. For example, data obtained from likes or retweets provides information about people's tastes and interests.
Semi-structured data: contains markers to separate different elements, which makes it easier to process them, even if they do not appear in relational databases. An example of this is HTML documents.
What is the importance of Big Data?
Big Data has become an essential tool for business decision-making. In an increasingly competitive and dynamic business environment, the ability to analyze large volumes of data in real time allows companies to gain deeper and more accurate insight into their environment, customers, and operations. This makes it easier to identify opportunities, anticipate risks, and optimize business strategies.
Implementing Big Data solutions not only improves operational efficiency, but also enhances the ability to innovate and remain competitive in the global market. Read the article "The importance of Big Data" in this blog to understand the role of Big Data in decision-making, learn about tools and technologies for data analysis, and learn about success stories.
SHARE
Rate this article12345(10 votes)
Tuesday, 04 January 2022 08:30
Written by Marcial Varela
☛ Send to a friend
Every WhatsApp message , Google search or credit card purchase generates a huge source of data. This computerized data is collected and analyzed, even in real time, by large companies to achieve competitive advantages in the market. This is the function of "Big Data" .
Big Data finds repetitive patterns within these large data sets, which are really difficult to work with due to the speed at which they are generated and the variety of formats and sources. Therefore, the objective of this discipline is to transform the data into information that opens up a business opportunity .
There are many tools for dealing with Big Data. Some of them are Business Intelligence , Cassandra , Hadoop , Machine Learning , MapReduce and NoSQL . They all work with three types of content:
Structured data: data that appears "ordered" and that companies usually collect in their traditional databases: customer names, date of birth, email, etc.
Unstructured data: Data that is not russia phone data organized in any way, but contains valuable information. For example, data obtained from likes or retweets provides information about people's tastes and interests.
Semi-structured data: contains markers to separate different elements, which makes it easier to process them, even if they do not appear in relational databases. An example of this is HTML documents.
What is the importance of Big Data?
Big Data has become an essential tool for business decision-making. In an increasingly competitive and dynamic business environment, the ability to analyze large volumes of data in real time allows companies to gain deeper and more accurate insight into their environment, customers, and operations. This makes it easier to identify opportunities, anticipate risks, and optimize business strategies.
Implementing Big Data solutions not only improves operational efficiency, but also enhances the ability to innovate and remain competitive in the global market. Read the article "The importance of Big Data" in this blog to understand the role of Big Data in decision-making, learn about tools and technologies for data analysis, and learn about success stories.