There is noticeable development in blockchain technology and big data, simply because companies generate a large amount of data. It is the critical moment when blockchain technology arrives and provides a stable, cost-effective and decentralized ledger to store the anonymous data generated daily.

Big data is a game changer in the tech-savvy world now, enabling companies to use pioneering insights in real time for better performance. Governments, organizations, and even small and medium-sized businesses benefit from Big Data offerings.

The powerful combination of big data and blockchain is seeing progressive acceptance in the healthcare industry. Health care providers share records with patients, their doctors, insurance providers, justice departments, employers, etc. easily and safely.

What is The Blockchain?

Blockchain is a shared, distributed ledger technology in which all transactions are securely recorded, allowing any participant in a trading network to view and verify the validity of the transaction. This makes it easy for anyone to retrospectively alter the information about the records. Even if the same transaction is logged across multiple distributed database systems, the technology is still secure by design.

What is Big Data?

Big data refers to immense and diversified digital content that is difficult to process using traditional data management tools and techniques.

3 Things Blockchain Transforms Big Data

There are three things that blockchain disrupts big data analytics:

1. Decentralization

The main obstacle to integrating big data analytics into an existing infrastructure is the enormous cost. Today, blockchain tools increase the accessibility of data analysis tools by decentralizing the necessary technology.

2. Data sharing and monetization

Data is the most important information in the modern world, and the combination of blockchain and big data can evolve the way data analytics is shared and monetized. In this way, customers can gain bargaining power over companies, providing control of which company has access to their data and which does not.

3. Data Sharing

Data sharing platforms, like Dock, allow working professionals to manage their job profiles on a single platform instead of working with multiple profiles across multiple job sites. Dock also consolidates certifications and other experiences gained from various platforms while keeping all of this data on the blockchain, allowing professionals to create detailed profiles.

According to research, about 75% of business data is not used for data analysis. But blockchain can lower these limits by making data exchange safer and easier, without the associated large infrastructure costs.

Benefits of Blockchain

• Decentralization
• Flexibility 
• Transparent
• Security

Benefits of Big Data

• Improved productivity
• Saves time and costs
• Improved decision making
• Better customer service

Opportunities for Big Data Analytics

Recently, a group of more than 45 Japanese banks signed up with a blockchain startup called Ripple, which transfers money to accounts that use the blockchain for real-time transfers at significantly low cost. Traditional transfers were expensive due to potential risk factors. With blockchains, that risk is largely avoided. Big data analytics identifies risky patterns and transactions much faster than can be done now. This reduces the cost of real-time transactions.

In other industries, the main driver of adoption of Blockchain technologies has been security. Entire healthcare, retail, and public administration establishments have begun evaluating using blockchain to handle data to prevent hacking and data leaks.

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Possibilities in Real-Time Analysis

Until now, fraud detection is an illusion, and banking institutions have always relied on the use of recent technologies to retrospectively identify fraudulent transactions . For each individual transaction, the blockchain has a database record. Improves transparency in data analysis. Consequently, industry analysts only deal with transparent data.

The Future of Business Processes: Blockchain Analytics vs. Big Data

The difference between Big data and Blockchain technology revolutionizes the way we process and analyze data. Big Data analytics is vital to tracking transactions and enabling businesses using Blockchain to make better decisions. Therefore, recent data intelligence services are helping financial institutions and governments and other companies communicate with within the Blockchain and discover secret patterns.

Financial services and Blockchain benefit from the use of big data analytics. In fact, using data analysis strategies on Blockchains, it identifies trends, patterns and threats through the production and exchange of data.

Big data applications can run pattern recognition tasks on thousands to millions of Blockchain interactions to identify fraudulent users and misuse. At the same time, Blockchain data can be pooled and ranked to assess the trustworthiness of banks, operators, and financial services. This work will also be useful for digital payment systems that will be implemented soon.

Putting it all together

Blockchain ensures data storage and privacy to increase data integrity, while big data deals with data ensuring the amount, speed and variety of data to deliver better predictions. The combination of these technologies is unbeatable. Big Data requirements and challenges are perfectly met by blockchain technology, providing transparency and security. Blockchain developers can incorporate big data with blockchain to improve their business analytics.