Datatypes in Big Data

Integrating data types into a big data environment:

Data integration combines data from different sources, enabling the organisation or individual to derive more values and information from their data. This data may come all from internal sources, internal and external sources, or entirely external sources. Much of this data may have been stored before. And the main aspect is data does not need to be real-time. We may have a lot of it and might be dissimilar in nature. But this could be considered a Big data problem. Let’s look into an example to validate the point.

You could have leveraged social media data, satellite data, or the data from the third party industry. Just look at data from social media. Most of the time, it becomes necessary to integrate different sources.

The point is that we won't get any business value if we deal with different sources as a set of disconnected silos of information.

Let us discuss what Metadata is?

Metadata

Metadata is the data that provides information about other data. It is the characteristics used to describe how to find, access and use data components. Metadata can be used to help us organise our data stores and also deal with the updation of the data sources. An example of Metadata is data about an account number. It includes the number, description, name, address, and privacy level. 

Metadata is necessary because it acts as a bridge that links all parts of data warehouses and provides information about the content to the user.

Let us discuss some frequently asked questions related to the topic.

Frequently asked questions:

1. What is Big data?
   Big data is the collection of data that is too large to handle and has been increasing exponentially.
2. What is Metadata?
   Metadata is the data that provides the information about the data but not the content.
3. What are the types of data in Bigdata?
   There are primarily two types of data: Structured and Unstructured.
4. Name some big data tools.
   Cassandra, MongoDB, and Apache Strom are some big data tools and software.
5. What is computer-generated data?
   It refers to the data created by computers without any human aid. 

Let us summarise the article.

Conclusion

In this following article, we have extensively discussed data types in big data, integration of data types into the big data environment and Metadata. At first, we saw what Big data is and the types of data. Then we discussed the integration of data types into big data environment. And after we get to know about Metadata. And at the end, we answered some frequently asked questions related to the topic.

Ninjas! Do not stop here. Learn more about Big Data, practice Top 100 SQL Problems. If you are preparing for interviews then check out these Interview experiences and practice some Problems and also checkout Guided paths.

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