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Month: June 2019

Big Data Analytics With Hadoop

Posted on by Imarticus Learning

 

Hadoop has been around forever; right from the early days of data analytics and the big data analytics, Hadoop has been an integral part and well-known name in the IT and data analytics industry. Formally known as Apache Hadoop, it is an open source software developed partly in partnership with Apache Software Foundation. 

Today, the software is known across the globe and is used in managing data processing as well as storage for big data applications which run on clustered systems. Hadoop being a well-known name in the data analytics industry is at the center of a dynamic market whose need for big data analytics is constantly increasing. The main factor that contributes to the wide use of Hadoop in data analytics is its ability to handle and manage various applications like predictive analytics, data mining as well as machine learning. 

A feature that distinguishes Hadoop from all other tools available in the market is its ability to handle both structured and unstructured data types, thus giving users increased flexibility for collecting, processing and analyzing big data, which conventional systems like data warehouses and relational databases can’t provide. 

Hadoop and Data Analytics 

As mentioned in the introductory paragraphs, Hadoop is essentially an analytics software for big data and can run on massive clusters of servers, thus providing the user with the ability to support thousands of nodes and humongous amounts of data. Since its inception in the mid-2000s, Hadoop has become an integral part of all data analytics operations mainly because of its significant features like managing nodes in a cluster, fault tolerance capabilities and many more. 

Hadoop due to its wide range of capabilities is a very good fit for any big data analytics application. Due to its capacity to handle any form of data, be it structured or unstructured, Hadoop can handle it all. One of the most notable applications of Hadoop includes its use in customer analytics. With Hadoop, users can predict anything, be it customer churn, analyze click-stream data or analyze and predict the results of an online ad. 

Top Big Data Analytics Tools

Although Hadoop is at the center of big data analytics, there are many notable tools in the market that are definitely worth checking out. Some of the most significant ones are as mentioned below. 

  • R Programming

After Hadoop, R is the leading data analytics tool in the market today. Available in Windows, Mac as well as Linux, R is most commonly used in statistics and data modelling. 

  • Tableau Public

 Tableau Public is an open source, free data analytics tools that have the capability to seamlessly connect data warehouses, Excel or any other source and display all the data on a web-based dashboard with real-time updates. 

  • SAS

SAS is the global leader in data analytics for many years and is widely known for its easy accessibility and manipulation capabilities. 

Conclusion

Hadoop and Big Data Analytics are terms that are synonymous with each other. With Hadoop and the right source, a user can analyze any type of data imaginable. 

How is The Ethereum Blockchain Different From The Bitcoin Blockchain?

Posted on by Imarticus Learning

How is The Ethereum Blockchain Different From The Bitcoin Blockchain?

You don’t need to attend a blockchain training or fintech course to have heard the names Ethereum and Bitcoin. These two names are very familiar to anyone who has been observing the blockchain and Fintech technology. Even though these two cryptocurrencies are based on the blockchain, there are few fundamental differences between them. This article will shed some lights on the specifics of each blockchain and show you what makes them different.
 Bitcoin: The Uncensored Money
The Bitcoin was invented by Satoshi Nakamoto in 2009. The primary objective of Bitcoin was to provide a peer-to-peer electronic cash system which will replace the traditional banking system. As a part of making things simple, the bitcoin’s protocol or Bitcoin’s blockchain was made just well enough and perfect to store, handle and perform transactions. Basically, this Bitcoin blockchain is a worldwide shared ledger that ensures easy transfer of value in the form of bitcoins. It means, unlike the traditional money, you can skip the part of seeking permission from banks or governments for sending money to anywhere in the world.
There are thousands of bitcoin nodes on the bitcoin’s blockchain that are able to verify the legitimacy of each payment. They eliminate the need for any third party in transactions. In simpler words, this blockchain doesn’t care who is making the transaction. It doesn’t care even if you are human or machine.
Ethereum: Not Just Money
In Ethereum, the blockchain technology or the Fintech courses is utilized to create applications beyond just supporting a digital currency.  Even though you can transfer value through it, Ethereum is not purely digital money. Ethereum can carry out transactions just as Bitcoin’s blockchain, but it is not limited to that. The primary difference between these two blockchains is Ethereum’s ability to store and execute newly coded programming logic. Using this facility, you can create smart contracts and DApps in Ethereum.
A smart contract is a computerized transaction protocol that takes place in terms of a predefined contract. In simpler terms, a smart contract executes “if-this-then-that” condition coded on to it. You can use Ethereum’s native programming language, Solidity to write smart contracts that are completely decentralized. You can eliminate the escrow services and intermediaries through this. Some of these intermediaries are Uber, freelancing platforms like Upwork, Airbnb, OYO, and eBay. Due to this facility, Etherum is also known as programmable money.
In other words, we can call Euthereum as a decentralized programmable blockchain-based software platform. To enable value transaction, a cryptocurrency named Ether is employed in this system.
Conclusion
So, now we understand that Ethereum is an advanced use of the blockchain. The bitcoin also uses blockchain technology but these two are never in competition with each other. In a general point of view, the purposes of these two blockchains are completely different. They can coexist and find solutions for many problems we are facing today. However, reports are suggesting that Bitcoin is developing other capabilities of Ethereum. When that finally happens, the comparison between them could be more competitive.