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Wherever we are present today, no seminars or conferences will be available in the name of a hypothecation in front of us! Maybe you have already done the idea? That's Big Data. Where is the use of it? While reading this article, it is still indirectly working in Big Data background. How can the questions come? Well, I'm briefing, the articles you are reading, maybe you got from Facebook or Google! If you are getting from Facebook, Facebook is surfing your algorithm with your interest and you are bringing it to your homepage.

Now Big Data Hypota has become a little old. The new has been added to the new one: Blockchain. If we mix the two technologies, how will our outcome be? I am with you today in front of this topic.

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Blockchain is a specific database on a network that is distributed to all members of the network, which we can call Distributable Ledger (LEDGER) (if any update on the database becomes automatic updates to the database of all those networks - after 10 minutes ). The question is what the database might be? This database can be anything, transition history, supply chain management history, and tracking. Each distribution database contains a specific block. Each block has unique unique addresses for connecting with each other and for later data recovery.

In the context of time, Blockcon technology is rapidly getting adapted to our mainstream. Transaction data is stored in different shared lasers, and lasers are becoming one data volume. For this data volume, usually Amazon AWS or Microsoft Azure cloud service is required to carry the cost, which is very costly. However, Stroj has run a pilot project, which has resulted in a decrease of 90 percent more than the denserized data storage cost emmasone.

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In Japan, a consortium (50 banks) has been in partnership with Ripel, they are said to have implemented the Blockchain. Ripple is the only open source blockchain network and the only enterprise blockblock solution in the world for payment. It has been extensively because there is no risk and less than cost. Traditional systems cost more and more risks.

After the election of Ripoll, the Japanese Consortium's Transaction Time and Processing Costs have decreased simultaneously, reaching zero.

If we can combine Big Data and Blockchain, then an Era will be built in the world of analytics! Let's see how the work is going on -

In the Big Data Analytics process, the use of a blockchain is being added to a data layer. This data layer is compiled by two major demands of Big Data Analysis.

✔1. Blockken Generated Big Data Secure. It is unlikely to change in any way, for network architecture.

✔2. Blockchain Based Big Data Valuable. Because, it is a structured, complete, and useful for next analysis.

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Data can be from different sources, such as energy data, real estate or other domains. Improvement of Big Data Analysts is visible. Fraud Prevention, where BlockChain Technology offers financial institutions the ability to verify real-time transactions. If it has been done earlier, then how did Risk Identification and Prevention Become BlackBerry Technology?

By 2020, $ 203 billion revenues for Big Data will be available in Business Field. Further, by 2030, 20% of the BlackBerry Ledger data will be reached in Big Data Marketplace and $ 100 billion in revenues.

We look at the big data and the block of the blockbuster. But, really, the question is, who will be the first SWITABALL and best-trained AI / machine learning model to handle the Blockchain Generated Data Layer? In fact, BusinessNews will be able to catch it before it can.

More than 50 mineral mining companies have become a $ 700 billion company together. For the benefit of Blockchain, do not have to wait too long to be trillion dollars

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