Big Data Sources
Posted: Sat Jan 18, 2025 6:57 am
Big Data as one of the varieties of end-to-end technologies is necessary for analyzing all significant parameters in order to develop the right strategic decision. With the help of big data, various models are constructed to track how the changes made will affect the final product or idea.
Let's list the main sources of Big Data:
Internet of Things (IoT);
social networks and electronic media;
information collected by various advertising data package companies: applications for the purchase of goods and services, transactions, user profiles;
instrument readings: sensors from meteorological and seismological stations, data from satellites, etc.;
state electronic services: civil registry office records, registration information, etc.;
medical institutions: a set of test and research results, anamnesis.
Big Data Sources
Source: shutterstock.com
In 2007, US intelligence agencies acquired a powerful system for collecting data on all users of social networks and Microsoft, Google, Apple, and Yahoo services. In addition, the content of telephone conversations and SMS messages is carefully analyzed. The latest computer models allow quick and easy access to large databases. Computing systems have capacious storage and powerful servers.
Cloud technologies are actively used to work with Big Data. For example, Data Lake (a place to store huge volumes of unstructured data from one source) and Hadoop (a set of tools for designing applications that perform distributed computing).
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Stages of working with Big Data technology
The principle of operation of the technology is to collect, store, process and analyze big data. Let's consider each of the stages in more detail.
Data collection
Big data is obtained from a variety of sources. Data filtering and cleaning are performed using special utilities. At the same time, the marking of information arrays occurs in such a way that the program algorithm finds the necessary fragments most quickly and efficiently.
Sorting of data can be done taking into account the time factor. For example, when forming a meteorological report, data for the last 24 hours is taken. To extract specific information for a certain period, the function of selecting and capturing data is used
Let's list the main sources of Big Data:
Internet of Things (IoT);
social networks and electronic media;
information collected by various advertising data package companies: applications for the purchase of goods and services, transactions, user profiles;
instrument readings: sensors from meteorological and seismological stations, data from satellites, etc.;
state electronic services: civil registry office records, registration information, etc.;
medical institutions: a set of test and research results, anamnesis.
Big Data Sources
Source: shutterstock.com
In 2007, US intelligence agencies acquired a powerful system for collecting data on all users of social networks and Microsoft, Google, Apple, and Yahoo services. In addition, the content of telephone conversations and SMS messages is carefully analyzed. The latest computer models allow quick and easy access to large databases. Computing systems have capacious storage and powerful servers.
Cloud technologies are actively used to work with Big Data. For example, Data Lake (a place to store huge volumes of unstructured data from one source) and Hadoop (a set of tools for designing applications that perform distributed computing).
Recommended articles on this topic:
9 Types of Customer Loyalty Programs
Selling price list: 5 marketing tricks + 10 tips for design
32 Ways to Attract Clients: Proven and Unconventional
Stages of working with Big Data technology
The principle of operation of the technology is to collect, store, process and analyze big data. Let's consider each of the stages in more detail.
Data collection
Big data is obtained from a variety of sources. Data filtering and cleaning are performed using special utilities. At the same time, the marking of information arrays occurs in such a way that the program algorithm finds the necessary fragments most quickly and efficiently.
Sorting of data can be done taking into account the time factor. For example, when forming a meteorological report, data for the last 24 hours is taken. To extract specific information for a certain period, the function of selecting and capturing data is used