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Blockchain four possible disadvantages you need

There are some possible disadvantages. But, these are just a list sof ar. You already came to know about complete information on Blockchain in my previous post. Here the details are as follows. The disadvantages are as follows: Lack of privacyLoss of personal responsibilityLoss of jobsReintermediationAlso the critical blockchain technologies explained here.
Lack of Privacy


Public blockchains do not hide any of their data. Instead, everyone is able to read the whole history of transactions. This level of transparency is frightening for those who want to protect their privacy. These concerns are understandable when taking into account the level at which personal data are already collected and utilized by large corporations or intelligence agencies.

Loss of Responsibility

Loss of personal responsibility is often considered a consequence of disintermediation. Intermediaries not only bring different parties of a contract together but may also provide guarantees. They offer reconciliation in…
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Robotic RPA Software developer skills you need

Robotic process automation is an upcoming and becoming most popular skill. As I said there are three popular tools. To become proficient in any one of the tool is really good to get a job in Developer role.
To get a job in this line, I found in my research that some programming skills and Hand-on training on any one of the tools is required. Also, try to to know differences in other popular rpa tools.

Most people are asking experience in tools like Automation anywhare, Blue Prism and Uipath. But, you cannot be proficient in all. So just know what are the differences. Ok...
You may ask a question like how to know. First join one good coaching institute and learn one tool perfectly. And start taking online training. Really good for you. Whatever you are lacking quickly you can learn online way.

To learn Uipath try here. Also, you can learn Automation anywhere tool online way.

The following are the list of IT skills commonly asking:
Automation anywhere/Blue Prism/Uipath.Net/C#/Java/SQL ski…

Popular RPA tools functionality differences

Robotic process automation is growing area and many IT developers across the board started up-skill in this popular area. I have written this post for the benefit of Software developers who are interested in RPA also called Robotic Process Automation.

In my previous post, I have described that total 12 tools are available in the market. Out of those 3 tools are most popular. Those are Automation anywhere, BluePrism and Uipath. Many programmers asked what are the differences between these tools. I have given differences of all these three RPA tools.
BluePrism strong areas:Blue Prism has taken a simple concept, replicating user activity on the desktop, and made it enterprise strength. The technology is scalable, secure, resilient, and flexible and is supported by a comprehensive methodology, operational framework and provided as packaged software.The technology is developed and deployed within a “corridor of IT governance” and has sophisticated error handling and process modelling capabi…

Blockchain real life application to manage Kyc process

SBI is now pressing ahead with its first implementation of the decentralized technology by using an enterprise blockchain solution for managing its Know Your Customer (KYC) system, via a new partnership with Intel that sees the technology giant become the consortium’s official technology advisor.

The enterprise blockchain will run on Hyperledger Sawtooth, a modular platform for developing and deploying blockchains, developed by Intel – a member of the open-source Linux Foundation-led Hyperledger project. The blockchain will also be supplemented by Intel Software Guard Extensions (SGX) to boost the blockchain’s privacy, security and scalability. The blockchain solution will be delivered by Primechain, an Indian blockchain startup powering the Bankchain consortium.
The BlockChain application
The solution will help SBI to increase the efficiency of financial transactions without having to compromise on data confidentiality and transaction security. Intel SGX can improve blockchain privacy…

Hadoop real process to handle massive unstructured data

Hadoop comes into picture to process large volume of Unstructured data. The structured data is already taken care by traditional databases.

Traditional relational databases have been able to store massive data sets for a long time. An Oracle 10g database can store over 8 Petabytes while for many years DB2 databases have been capable of storing well over 500 Petabytes. Of course, this is all theoretical. No customer has an Oracle or DB2 database that approaches sizes even close to that. Why? Because the speed, or velocity, at which data can be loaded and queries can be executed approaches zero well before then.

Similarly, all traditional relational databases can store any variety of data as text or binary large objects. The problem is that large volumes of unstructured data cannot be moved fast enough to enable rapid search and retrieval.

Will data warehouse and ETL continue in the age of Hadoop

Running constant and predictable workloads is what your existing data warehouse has been all a…

Story Blockchain logic how nodes to confirm transaction

Blockchain is a decentralised technology or distributed ledger on which transactions are anonymously recorded. This means the transaction ledger is maintained simultaneously across a network of unrelated computers or servers called “nodes”, like a spreadsheet that is duplicated thousands of times across a network of computers.

The ledger contains a continuous and complete record (the “chain”) of all transactions performed which are grouped into blocks: a block is only added to the chain if the nodes, which are members in the blockchain network with high levels of computing power, reach consensus on the next ‘valid’ block to be added to the chain. A transaction can only be verified and form part of a candidate block if all the nodes on the network confirm that the transaction is valid.


Hadoop use in the area Engg college development

This is based on my research of developing an engineering college using data analytics. This is a great subject that can be applied all engineering aspirants in their final project.

In my view it has dual benefits. The one is for student they can gain lot of analytics knowledge and application to develop engineering college to keep it in the list of top colleges.

The second is for Engineering colleges they can benefit to improve quality education and to become one of the top colleges.
The project theme is data analytics:

There are total 2 parts:
Use Hadoop technologies to study student database what they did in School level- This gives lot of insights on the Student interests. Approach each student and get some innovative ideas to improve the collegeUse Faculty database to get the skills and projects what they did in previous years. This helps to get right faculty for new innovative project Basically the qualities of good engineering college you can be classified based on the below cri…