What Is Big Data?
Big data refers to different data sets that are too large or too complex to be processed by traditional data processing application software.
Also, data with many fields (rows) provides greater statistical power, while more complex data can lead to a higher false detection rate.
Also, big data analytics challenges include data collection, storage, analysis, sharing, transferring, displaying, querying, updating, privacy, and data source.
Therefore, big data was initially associated with three key concepts: volume, variety, and velocity.
Hence, Big data analysis also presents sampling challenges and thus has only allowed for observations and samples to date.
Therefore, Big Data often includes data of a size that exceeds the ability of traditional software to process in a reasonable amount of time and value.
Big Data Characteristics
The following characteristics can describe big data:
Volume
The amount of data generated and stored.
Also, the size of the data determines the potential value and insights and whether or not it can be considered big data.
Diversity
Firstly it shows the type and nature of the data.
Also, previous technologies, such as RDBMS, could process structured data efficiently and effectively.
Speed
Firstly, the speed of data generates and processes to meet the needs and challenges.
Also, it lies in the path of growth and development. Big data is often available in real-time.
Precision
Firstly, the integrity or reliability of the data relates to the quality and value of the data.
Worth
Therefore, informational value can be from processing and analyzing large amounts of data.
Also, value can be measured by evaluating the other qualities of big data.
Variability
Firstly, the characteristic of changing formats, structures or sources of big data.
Also, big data can include structured, unstructured, or a combination of structured and unstructured data.
Therefore, raw data processing may also include transformations from unstructured to structured data.
Comprehensive
Whether or not the entire system is captured or logged.
Therefore, big data may or may not include all available data from sources.
Fine-grained and uniquely lexical
It gives the proportion of item-specific data per item collected and whether it and its characteristics are properly indexed or identified.
Relational
When the data collected contains standard fields, that will allow the fusion or meta-analysis of different data sets.
Renewal
When new fields can be easily added or changed on each collected data item.
Scalability
It shows whether the size of the big data storage system can be expanded rapidly.
How to Submit Your Article to Techies In?
Also, to send your request, write to us at contact@techiesin.com
Why Write For Us at Techies In – Big Data Write For Us
The Search Terms Related to Big Data Write For Us
Information Technology
Data
Critical infrastructure
Application security
Data Science
Data Analysis
Information
Technology
Network security
Cloud security
Artificial Intelligence
Machine Learning
Internet of Things
Malware
Gadgets
Emotet
AI
Digital
Hacker
Denial of Service
Man in the Middle
Phishing
SQL Injection
Password Attacks
Search Terms For Big Data Write For Us
Submit an article
Write for us
Guest post
Looking for guest posts
Become a guest blogger
Guest posts wanted
Writers wanted
Guest posting guidelines
Become an author
Submit post
Suggest a post
Guest post
Contributor guidelines
Contributing writer
Guest blogging + “write for us.”
Write for us + guest blogging
Guest posting guidelines
Become a guest blogger
Become an author
Suggest a post
Submit post
Write for us
Writers wanted
Calories “become a guest writer.”
Write for us blogging
Calories “become a contributor.”
Guest blogging + “write for us.”
Write for us + guest blogging
Calories “become an author.”
Guidelines of the Article – Big Data Write For Us
Big Data Write For Us: You can send us your article at contact@techiesin.com