What is Big Data?
Big data means large volume and complex data that are very helpful to solve business problems. Big data mainly contains three “V”s:
: Amount of data
: Speed of data received and acted
: Different type of useful data
What is Big Data Analytics?
Big data analytics means analysis of a large volume of data to identify the pattern and connection, which would give useful information; important to an organization’s business and future decisions.
Before big data analytics, the organization had limited storage and compute, which takes a long time and complex process to analyze the data.
For example, consider online shopping when a customer executes a transaction. By analyzing the browsing behavior, how the user navigates on the site gives useful information for business. This is big data analytics process.
What are the advantages of using Big Data Analytics?
• It helps an organization to identify new opportunities
• An organization can take best and faster decision for their businesses
• High profit
• Customer satisfaction
• Cost saving
• New product and services
• It handles a huge amount of data
• Increase storage space
• Increase processing capacity
• Data availability
Big Data examples
Applications of big data in various domains.
1. Financial sector
2. Internet of things (IOT)
3. Fraud detection
4. Insurance domain
5. Education domain
6. Healthcare domain
7. Transportation services
8. Government sector
Big data technologies list
Below are some technologies used to store and analyze big data:
2. Microsoft Excel
3. NoSQL database
4. Apache Hive
Since data volumes and complexity have grown, data that are collected for analysis has increased the difficulty. To deal with these complexities new technologies help users or organizations to simplify the task. Big data analytics is one of the best technology to deal with complex data analysis.