Anoop M

Posted by [email protected] on  October 29, 2020
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THE SEXIEST JOB OF THE 21 CENTURY

Yes, you read that properly, from banking to healthcare, big data analytics is all over. The use of manual paper records, files, floppy and discs have now become outdated. The reason for this is the exponential evolution of data. There has been a rush in demand for experts in this field and doubled pains on the part of varieties and assistances to boost salaries and attract data science endowments. Public began storing their data in relational database systems but with the hunger for new technologies, inventions,  applications with quick response time and with the introduction of the internet, even that is insufficient now. This generation of continuous and massive data is Big Data

“The world is one big data problem.” – by Andrew McAfee, co-director of the MIT Initiative

Architecture:
Big data repositories have existed in many forms, often built by corporations with a special need.
In 1984: Teradata Corporation marketed the parallel processing DBC 1012 system
In 1990: Commercial vendors historically offered parallel database management systems for big data .For many years, WinterCorp published the largest database report.
In 1991: Hard disk drives were 2.5 GB, so the definition of big data continuously evolves according to Kryder’s Law.
In 1992: Teradata systems were the first to store and analyse 1 terabyte of data.
In 2000: Seisint Inc. (now LexisNexis Risk Solutions) developed a C++-based distributed platform for data processing and querying known as the HPCC Systems platform. This system automatically partitions, distributes, stores and delivers structured, semi-structured, and unstructured data across multiple commodity servers. Users can write data processing pipelines and queries in a declarative dataflow programming language called ECL. Data analysts working in ECL are not required to define data schemas upfront and can rather focus on the particular problem at hand, reshaping data in the best possible manner as they develop the solution.
In 2004 : LexisNexis acquired Seisint Inc. and their high-speed parallel processing platform and successfully used this platform to integrate the data systems of Choicepoint Inc. when they acquired that company in 2008.
Google published a paper on a process called MapReduce that uses a similar architecture. The MapReduce concept provides a parallel processing model, and an associated implementation was released to process huge amounts of data. With MapReduce, queries are split and distributed across parallel nodes and processed in parallel (the Map step). The results are then gathered and delivered (the Reduce step). The framework was very successful, so others wanted to replicate the algorithm. Therefore, an implementation of the MapReduce framework was adopted by an Apache open-source project named Hadoop. Apache Spark was developed in 2012 in response to limitations in the MapReduce paradigm, as it adds the ability to set up many operations (not just map followed by reducing).
In 2007: Teradata installed the first petabyte class RDBMS based system.
In 2011: the HPCC systems platform was open-sourced under the Apache v2.0 License.
CERN and other physics experiments have collected big data sets for many decades, usually analyzed via high-throughput computing rather than the map-reduce architectures usually meant by the current “big data” movement.
In 2012: studies showed that a multiple-layer architecture is one option to address the issues that big data presents. A distributed parallel architecture distributes data across multiple servers; these parallel execution environments can dramatically improve data processing speeds.
In 2017: there are a few dozen petabyte class Teradata relational databases installed, the largest of which exceeds 50 PB. Systems up until 2008 were 100% structured relational data. Since then, Teradata has added unstructured data types including XML, JSON, and Avro.

There are multiple tools for processing Big Data such as Hadoop, Pig, Hive, Cassandra, Spark, Kafka, etc. depending upon the requirement of the organization.

Big Data Applications
These are some of the following domains where Big Data Applications has been revolutionized:
Entertainment.
Insurance
Driver-less Cars
Education
Automobile
Government

Conclusion

The availability of Big Data, low-cost product hardware, and new information management and analytic software have shaped a single moment in the history of data analysis. The convergence of these trends means that we have the abilities required to analyse amazing data sets quickly and cost-effectively for the first time in history. These abilities are neither hypothetical nor trivial. They represent a genuine leap forward and a clear opportunity to realize huge gains in terms of efficiency, productivity, revenue, and profitability.

As the career paths available in big data continue to raise so does the shortage of big data professionals needed to fill those positions. The characteristics such as communication, knowledge of big data concepts, and agility are equally as important as the technical skill aspects of big data.

Big data professionals are the link between raw data and useable information. They should have the services to manipulate data on the lowest levels, and they must know how to interpret its trends, patterns, and outliers in many different forms. The languages and methods used to achieve these areas are growing in strength and numbers, a pattern unlikely to change in the near future, especially as more languages and tools enter and gain popularity in the big data argument.

Dr. R V Naveenan

Posted by [email protected] on  October 29, 2020
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Blockchain in Banking- A Revolution by Itself

Bockchain can be defined by three special features. First of all, blockchain is a distributed technology that enhances visibility and transparency of stored transactions. Second, as an immutable database, the blockchain guarantees a single one. A version of the reality that helps create trust in the knowledge stored. Third, the blockchain facilitates the automated execution of transactions. Blockchain disrupts the banking sector and contributes to an increase in banking data. Blockchain technology is a central, underlying technology with promising prospects for banking applications. Economic transformation, the creation of the Internet and financial changes are also affected. The banking sector, therefore, needs urgent restructuring and is looking for new avenues for development. As a result, blockchains could revolutionise and improve the underlying payment clearance infrastructure and credit information systems in banks. Its introduction also encourages the development of “multi-center, slightly intermediated” scenarios that will improve the efficiency of the banking industry. However, despite the less self-regulation of blockchains, governance and the realistic application of the decentralised system remain unresolved problems. Yet Blockchain can solve the problems inherent to the banking sector. It is an autonomous revolution that will expand the horizons of the banking sector.

Blockchain is a Distributed Technology which provides transparency in transactions and improve trust in the transactions.

Block Chain is a technology that has captured FinTech’s attention. It includes a range of computer-based technologies, including data storage, point-to-point transfer, consensus and encryption. It was also seen as a milestone in the web era. Following the advent of Big Data, many industries like banking have been effectively disrupted.  This has a huge impact on the future of the data processing industry. However, considering that the block chain represents a major step forward in data storage and data transmission, it is possible to analyse existing financial and economic operating models that are leading to FinTech’s latest round of technical growth and industrial transformation.

Even though blockchain is seen as a challenge, it has created some opportunities to streamline conventional banking processes. The current relationship between the banking industry and blockchain is complicated (Lang, 2017a). According to Lang (2017b), the security of blockchains justifies a shift by banks away from their conventional business transaction strategy, and the industry is bound to be disrupted as payments are a wide banking segment (Lund, 2017b). Lower blockchain transaction costs and increased speed are the major benefits to the banking industry, Mason’s (2017). This will also increase with the emergence of new Fintech start-ups that help in building cheaper banks. Blockchains are the way forward for the banking sector in terms of competition and technical advantages for creative business models (Kocianski 2018).

Business authenticity is routine and important for banks as a result of anti-money laundering regulations (Sarnitz & Maier 2017). KYC is a vital factor in preventing the illegal use of bank funds and money laundering and terrorist capital which results in increasing terrorist problems (Marr, 2017). Based on blockchain technology, banks can accelerate settlement times by enabling individuals and businesses to control a consensus-modified, cryptographic transaction list directly (Lang, 2017a). Tapscott and Tapscott (2016) note that blockchain technology can reduce payment times by minutes or seconds, while Ho (2016) alerts us to the possibility of a 24-hour bank transaction.

Bank security is of utmost importance. According to Tapscott and Tapscott (2017), 45 per cent of financial intermediaries face economic crimes, compared to 20 per cent and 27 per cent in the services and technology market. Thus, Blockchain is a key component of the future extra-security model of Digital Banking (Maiya, 2017). Since past, information cannot be updated and recent information is effectively exchanged in real-time by various individuals, the manipulation of data is difficult for Blockchain (Garcia, 2018; Harsono, 2018). Experts’ points out that changes in data blocks can be tracked and monitored to prevent fraud and mismanagement and, more significantly, blockchain technology allows real-time communication and potential scam notification. As it stands, the banking industry is debating the promise of blockchain transaction technology. Thus we can understand that Blockchain will increment the bank’s performance and thus transform the banking industry.

Conclusion

Blockchains could revolutionize, update and transform banks’ underlying payment clearing and credit information infrastructure. Regulatory, competitive and security issues have sparked a wide-ranging discussion on any new financial breakthrough. During the Big Data Banking Boom, Blockchain created a number of opportunities, but also disrupted traditional banking business models. It’s as ground-breaking for others as the Internet, although it’s over-hyped for others or seen as challenging conventional banking. The industry does not have a consensus on the feasibility and usefulness of blockchain banking. Yet opportunities will soon overcome challenges as the industry finds a consensus about how best to move forward, and regulators understand the benefits that the revolution will bring to banking worldwide. However, current challenges do not disturb history as they eventually address technological, regulatory and other blockchain technology concerns. The prospect of incorporating blockchain technology into banking seems most likely in the immediate future.

References

1.Garcia, A. (2018). IBM’s blockchain app store wants to help banks cut costs. Source: https://money.cnn.com/2018/07/30/technology/ibm-blockchain-app-store/index.html
2. Harsono, H. (2018). Bank-based blockchain projects are going to transform the financial services industry. Retrieved from https://techcrunch.com/2018/01/28/bank-based-blockchainprojects- are-going-to-transform-the-financial-services-industry/
3. Ho, F. (2016).What blockchain actually means for the future of banking. Retrieved from https:// decentralize.today/what-blockchain-actually-means-for-the-future-of-banking- 4dd868d020cf
4. Harsono, H. (2018). Bank-based blockchain projects are going to transform the financial services industry. Retrieved from https://techcrunch.com/2018/01/28/bank-based-blockchainprojects- are-going-to-transform-the-financial-services-industry/
5. Kocianski, S. (2018). The blockchain in banking report: The future of blockchain solutions and technologies. Retrieved from http://uk.businessinsider.com/blockchain-in-banking-2018-5
6. Lang, J. (2017a). Three uses for blockchain in banking. Retrieved from https://www.ibm.com/ blogs/blockchain/2017/10/three-uses-for-blockchain-in-banking/
7. Lang, J. (2017b). Building the future of financial services with IBM Blockchain at Sibos. Retrieved from https://www.ibm.com/blogs/blockchain/2017/10/building-future-financialservices- ibm-blockchain-sibos/
8. Maiya, R. (2017). How to be a truly digital bank. Journal of Digital Banking, 1(4), 338–348.
9. Mason, J. (2017). Why blockchain will revolutionize the banking industry. Retrieved from https://bravenewcoin.com/news/why-blockchain-will-revolutionize-the-banking-industry/
10. Sarnitz, A., & Maier, R. (2017). Blockchain in retail banking. Retrieved from https://www.bankinghub.eu/innovation-digital/blockchain-retail-banking
11. Tapscott, D., & Tapscott, A. (2016). Blockchain revolution: How the technology behind bitcoin is changing money, business, and the world. Portfolio: Penguin Random House.
12. Tapscott, A., & Tapscott, D. (2017). How blockchain is changing finance. Harvard Business Review, 1, 2–5.

 

Modernizing the Grid

Posted by admin on  October 18, 2015
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Round and round like a carousel

Posted by admin on  September 22, 2015
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Standard digital news

Posted by admin on  September 8, 2015
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Wildlife photographer of the year

Posted by admin on  September 3, 2015
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Nam liber tempor cum soluta nobis eleifend option congue nihil imperdiet doming id quod mazim placerat facer possim assum. Typi non habent claritatem insitam; est usus legentis in iis qui facit eorum claritatem. Investigationes demonstraverunt lectores legere me lius quod ii legunt saepius. Claritas est etiam processus dynamicus, qui sequitur mutationem consuetudium lectorum. Mirum est notare quam littera gothica, quam nunc putamus parum claram, anteposuerit litterarum formas humanitatis per seacula quarta decima et quinta decima. Eodem modo typi, qui nunc nobis videntur parum clari, fiant sollemnes in futurum.

Sounds of Africa

Posted by admin on  September 1, 2015
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Go to Link

Posted by admin on  August 25, 2015
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Humid and sticky day

Posted by admin on  August 8, 2015
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Nam liber tempor cum soluta nobis eleifend option congue nihil imperdiet doming id quod mazim placerat facer possim assum. Typi non habent claritatem insitam; est usus legentis in iis qui facit eorum claritatem. Investigationes demonstraverunt lectores legere me lius quod ii legunt saepius. Claritas est etiam processus dynamicus, qui sequitur mutationem consuetudium lectorum. Mirum est notare quam littera gothica, quam nunc putamus parum claram, anteposuerit litterarum formas humanitatis per seacula quarta decima et quinta decima. Eodem modo typi, qui nunc nobis videntur parum clari, fiant sollemnes in futurum.

Paris overlay

Posted by admin on  August 6, 2015
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Ut wisi enim ad minim veniam, quis nostrud exerci tation ullamcorper suscipit lobortis nisl ut aliquip ex ea commodo consequat. Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla

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Ut wisi enim ad minim veniam, quis nostrud exerci tation ullamcorper suscipit lobortis nisl ut aliquip ex ea commodo consequat. Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi.
Nam liber tempor cum soluta nobis eleifend option congue nihil imperdiet doming id quod mazim placerat facer possim assum. Typi non habent claritatem insitam; est usus legentis in iis qui facit eorum claritatem. Investigationes demonstraverunt lectores legere me lius quod ii legunt saepius. Claritas est etiam processus dynamicus, qui sequitur mutationem consuetudium lectorum. Mirum est notare quam littera gothica, quam nunc putamus parum claram, anteposuerit litterarum formas humanitatis per seacula quarta decima et quinta decima. Eodem modo typi, qui nunc nobis videntur parum clari, fiant sollemnes in futurum.

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