What is Big Data?
Big data is data that is very large in size. In general, big data refers to ZETTABYTES or TERABYTES of data. And Big Data is a combination of Structured Data, Unstructured Data, and Semistructured Data.
Sources of Big Data
Big Data comes from various platforms like Social Media, Big Malls, etc. There are three sources of bulk big data: social data, machine data, and transaction data.
Social Data – Social Data is data that is generated from social sites publicly for Example Instagram posts, Facebook, etc this kind of data is social data.
Machine Data – Machine data is data that is generated by the machine automatically, for example, we do some activities on our phone like searching for shoes, etc then the machine is collected our data and shares it with the organization that kind of data is machine data.
Transactional Data – Transactional data is data that is captured from the transactions it records the time of the transaction, Place of the transaction, Price of the transaction, Payment Method of Transaction, etc.
Use of Big Data
The use of Big Data is finding important insights or useful insights from the data by using the latest and advanced tools like Apache Hadoop, Tableau, Spark, etc. With these tools, we get important or useful insights from the Data. As a result, the organization uses Big Data to show relevant advertisements to the relevant users and thus making the organization more profitable. Improving decisions taking of the Organization
Advantages of Big Data
- Big Data analysis – we can easily understand and target users according to their interests so relevant customers see relevant ads.
- Big Data is also improving the healthcare system through the availability of records.
- Big Data is also improving an organization’s business strategy by the help of customer data organizations can improve their business strategy.
- Big Data helps in controlling online reputation means you can run a campaign in which people say about your company that data you can use to make your company’s reputation good.
Disadvantages of Big Data
- Storing Big Data can cost lots of money.
- Big Data is Complex, Unstructured.
- In Big Data lots of data is waste that is not useful for organizations.
- Hard to get important insight from Big Data.
- Big Data analysis also violates principles of privacy.
- Getting important insights from Big Data is time-consuming.
History of Big Data
Big Data has been around since the 1990s, thanks to John R. Mashey for making the term popular. Using data to make good decisions for the growth of a company is not something that people started using in their 20s. People started using data at a very early age. Now, the amount of data is so huge that we call it big data, and that data is so big that even with the latest and most advanced technologies, it is difficult to handle that data.
In 2013 the total amount of data generated is 4.4 zettabytes approx and in 2020 the data generated in the world is 44 zettabytes approx so we see that our data generated globally is increasing rapidly. In 2005 Hadoop was introduced for handling big data then we start using the term Big Data a lot by this tool Big Data becomes easy to manage and get insight easy so then this term has become popular this is the history of Big Data.