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How Blockchain and Big Data Can Work Together

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How Blockchain and Big Data Can Work Together


Big data and blockchain work well together by providing more security and integrity. 

One is transforming data management while the other is changing the nature of transactions altogether. Could they create an even more significant impact on the industries by binding together – big data for blockchain or blockchain for big data?.

Big data technologies first came into the picture at the dawn of this millennium to meet the computational needs of large datasets in the Internet-era. Proprietary applications like BigTable by Google and ZooKeeper at Yahoo showcased the potential of big data. However, the potential could only be tapped into after open-source projects such as the Hadoop File System (HDFS) and Hadoop MapReduce hit the market. Since then, big data has snowballed to transform how companies manage their data in the 21st century. Satoshi Nakamoto, an anonymous mystic individual, introduced the world to blockchain in 2008. It was developed in an attempt to solve the problem of double spending in transactions by eliminating the need for a third party in financial transactions. Blockchain also gave the world its first digital cryptocurrency – the bitcoin. Since then, the concept of blockchain has rapidly evolved to provide robust solutions to problems persisting in a wide array of industries. Now that both big data and blockchain are established as effective tools to tackle issues in different domains, we look forward to – possible methods of integrating both big data and blockchain to deliver even better solutions to specific problems, or as we’ve called it in this article, blockchain for big data and big data for blockchain.

How Big Data Works With Blockchain

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A lot of governments have had trouble with the anonymity clause of blockchain. Despite being favored for its security and infallibility, blockchains are turned down for not being able to track stakeholders in transactions, thus being a preferred choice for illegal trade. Big data applications can help make blockchains trackable by managing structured datasets of wallet addresses and their owner details. This kind of infrastructure can convince governments to adopt blockchain as a platform for transactions that demand speed, safety, reliability, and traceability – thanks to big data for blockchain.

The Close Ties Between Blockchain and Big Data

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Big data is comfortably dealing with huge sets of data, but some issues in its infrastructure have posed a problem in the widespread adoption of the technology. The big data infrastructure is centralized to a server location that offers complete unconditional control of data to the ones who have access to the server. This ‘ownership’ creates a problem when big data infrastructure is to be shared between different companies or even different regional offices of the same company. Besides, having multiple copies at different locations is not a solution because it puts a burden on resources and also creates confusion while determining the most updated data resource. Furthermore, now that big data resources are being traded among different entities, the legitimacy of a data resource poses a concern. With a blockchain for big data, we can create a decentralized data resource to which every one has full access. We can also track updates to the data resource on the blockchain, eliminating the need for and confusion due to multiple copies. Moreover, data transactions can be verified for legitimacy using blockchain concepts like proof-of-work or proof-of-stake and at the same time blockchain can provide a robust financial platform for data transactions between entities.

It is incredible how both of these technologies – big data and blockchain – can together significantly improve the usability of each other. The techniques can help create a hybrid infrastructure on pillars of big data and blockchain. The infrastructure will be flexible for different application types, like its parents – big data and blockchain.

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TECHNOLOGY

How Computer Vision Paired with AR Can Be Used for Navigation Aide

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How Computer Vision Paired with AR Can Be Used for Navigation Aide


AR and computer vision in navigation have become significant for automotive industries to provide information about movements in different places.

The future of driving may be the driverless car. AR and computer vision in navigation are being preferred by some automotive companies lately. One of the most popular brands in this segment is Tesla. The company has been focusing on developing autonomous electric vehicles for the past few years and has now set its eyes on a new frontier – augmented reality.

How Computers Interpret The World And What’s Different With Augmented Reality

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Augmented reality is a computer-generated, interactive experience of a real-world environment, where the objects that reside in the real world are “augmented” by computer-generated perceptual information. Using augmented reality in navigation will help to know the real world by adding virtual components to them where the virtual objects comprehend and follow the real-world physics. Augmented reality differs from virtual reality because it interacts with the natural world and not just an artificial environment. Augmented reality relates virtual reality with real-world physics and comprehends the physics rules so they can be connected to objects. The use of AR and computer vision in navigation will help people traverse through the maps and find the exact location they are looking in the form of signs, symbols, and landmarks. Let’s explore this further in detail.

How Computer Vision is Used in Maps to Create Navigation Aids in Real Time

Computer vision is a type of artificial intelligence that helps create navigation aids in real-time. Computer vision application in maps has been around for a while now. Still, it has grown exponentially over the past few years. It can track the user’s location and orientation to provide directions. It can also help with other tasks like detecting traffic, locating parking spaces, and identifying objects of interest.

AR and Computer Vision in Navigation in Vehicles – The Future of Driving?

Tesla’s CEO Elon Musk has revealed that they are working on a new feature called “Tesla Vision,” which would allow drivers to see important information about their surroundings, such as signs, traffic lights, and pedestrians, in real-time by overlaying it onto their windshields. Drivers can navigate through any environment with just one camera sensor. This technology can also warn drivers about potential accidents and dangers or even take control of the vehicle if necessary.

The Future of Navigation Is Here and It’s Promising

In the future, AR and computer vision will be more helpful to the users by providing ideas about which road to take for driving or which place is available for parking. AR and computer vision are likely to be used most commonly for navigation in the future. AR and computer vision in navigation is the future as they will make our lives easier and more productive.



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