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Blockchain,“The Internet of Value"

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Rajesh Dangi
September 20, 2017

Two key technologies are creating waves in the digital world towards transformation of the business, first the Bitcoins and another Blockchain. Both are correlated but not the same, Bitcoins is a worldwide cryptocurrency and digital payment system that offers distributed ledger system leveraging the Blockchain technology running transactions from multiple locations ( read devices, applications or micro services ) by multiple users and still maintains integrity of the transaction and value remittance thereof. The system is peer-to-peer, and transactions are capable of running independently between users, without an intermediary.

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Hadoop File Formats, when and what to use?

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Rajesh Dangi
June 23, 2017

Hadoop is gaining traction and on a higher adaption curve to liberate the data from the clutches of the applications and native formats. This article helps us look at the file formats supported by Hadoop ( read, HDFS) file system. A quick broad categorizations of file formats would be...

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RANSOMWARE: What it is and how to deal with it

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Rajesh Dangi
March 28, 2017

Almost every day we hear about cases of ‘Ransomware’ affecting running servers – an act we call digital terrorism. Let’s get a quick understanding of this risk and the preventive measures to mitigate it. Crypto-ransomware gains access to a target server and encrypts all the files on that server. It scrambles the contents of the file so that you can’t access them without a particular decryption key that can correctly unscramble it. This makes the users or the administrators of the server helpless, and there are no known tools that can detect the hashing algorithms and then decrypt them. A ransom is thus demanded in exchange for the decryption key.

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Focus on the Fourth ‘V’ of the Big Data for EDH enablement!

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Rajesh Dangi
March 14th, 2017

Big data as defined in the Wikipedia, Big data is a term for large or complex data sets that are a constantly moving targets for the traditional strategies, tools for processing and managing them via traditional data processing applications which are inadequate to deal with them. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy.

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