Top 5 Big Data Technologies

Top 5 Big Data Technologies

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Top Big Data Technologies

Big Data technologies are needed to deal with a large amount of complex data as usual traditional data processing software can’t handle it. Here comes the importance of big data technologies.

What is big Data technology?

As the name itself suggests, big data technologies can analyse, process and extract information that is complex and large in amount. Big data technologies are helpful in analytics., memory computing etc.

There are two kinds of big data technologies

1. Operational big data technologies: Operational big data technologies include day-to-day data.

Examples: Social media, online shopping, Etc.

2. Analytical big data technologies: Analytical big data technology is more complex and advanced when compared to operational big data technology. The processes are complex here.

Examples: Weather forecasting, Space missions, Etc.

Top 5 Big Data Technologies

1. Artificial intelligence

There is no wonder that artificial intelligence is one of the top big data technology. The capabilities of artificial intelligence are quite known for everyone. It makes tasks and processes easy and are programmed in such a way that they can act with human intelligence. It is capable of doing what humans do.

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2. Data lake

Data Lake allows users to store structured as well as non-structured data. Schema on-road is the principle behind the data lake. The data lake is a less time-consuming principle. It allows the users to access, prepare and analyze data in less time. The two components of data Lake are storage and compute.

3. Blockchain

Blockchain is a type of database which stores information and data in blocks. Then it chains these blocks together. So it is easy for us to understand the whole concept from the name itself. We use this technology in transaction processes. It stores the data in an irreversible timeline. Also, that decentralized nature makes it all transactions transparent which can be viewed by another person with a blockchain explorer.

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4. Edge computing

Edge computing, we can say is the opposite of cloud computing it analyses the data at the edge of the network itself. This big data technology makes the process simple and reduces the cost time required and traffic by reducing the amount of information. It transmits only the most required information. It has decentralized processing power and making mobile computing possible. A computer itself or a device can process the data. Thus this big data technology is more reliable and fast.

5. NoSQL databases

NoSQL databases are known for their fast performance. It is flexible and can handle different types of data at a large amount. It does not use tabla relations. Facebook, Twitter and other such apps/developments are examples for this. It can store structured, semi-structured and unstructured data. It gives heterogeneous structures of data too.
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Conclusion

Big data technologies are something which is not much familiar for many people. But many of our day-to-day activities, job extra involved or related to these big data technologies. And the need for these technologies is increasing in our lives day by day. There are many other big data technologies too available.

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