Facts about Data

We all know that we are in "Data Age". So here are the some facts about Data.........

 

Facebook produces 7 petabytes(7 million Gigabytes) of data every month.

 New York stock exchange produces 4 to 5 Terabytes of data every day.
 

Internet Archive stores around 18.5 petabytes of data

 In 2013 an IDC estimate put the size of digital universe at 4.4 Zeta bytes, and forecasting a tenfold       growth by 2020 to 44 Zeta bytes.

The data generated by machines of Internet Of things are greater than the data generated by humans.
Microsoft Research's MyLifeBits Project was an experiment done by Microsoft. This experiment is being done to capture individual interactions, phone calls, messaging etc., electronically and used for later access. In the near future this alone project only may produce lots of data because it is capturing information of almost every human on the earth and storing their actions.
 

Public data sets on Amazon Web services and Infochimps.org had took initiative to foster the "information commons", where the data can be shared for anyone to download and analyze freely.
 Experts say the "the large amount of data usually beats the algorithms".

5 advantages of cloud

No need to guess capacity:
       

No need to guess how much capacity that you to store data. In cloud you can have as much as capacity you need.

 

Exchange capital expense with Trade Expense:
 

Instead of investing more in data centers before knowing know how much space you need is waste. In cloud you only pay for how much you consume

 

 Increased Speed:

 All the resources that are in cloud are just a click away from you. Just connect to the cloud and play with it.

 

 

Globalization:

 Deploy your application at anywhere on the globe. And it be accessed at any place of the globe.

 

 

 

 

Reduced Cost:

  The amount which is spent on having cloud is much lesser than the amount that is spent on data centers.




 

2 Things that every company is moving towards

1. Cloud:

As I discussed about cloud in my previous post as central repository of data. Now in this post I will discuss about cloud computing. Cloud computing relies on sharing computer resoures directly rather than depending on local or internal servers to maintain or handle various applications of a particular organization. Almost all the companies have on-shore and off-shore teams. These teams work from various places of the world. Storing the data at each and every place where each team works is cost consuming and also a difficult task. So people now a days simply using this cloud to share their resoures directly.

Cloud provides us various services like SAAS, PAAS, IAAS, CAAS etc.,
The computer scientist John McCarthy proposed the concept of computation being delivered as a public utility, similar to the service bureaus which date back to the sixties.
I mentioned as sixties, discuss what happened in sixties..
Since the sixties, cloud computing has developed along a number of lines, with Web 2.0 being the most recent evolution. However, since the internet only started to offer significant bandwidth in the nineties, cloud computing for the masses has been something of a late developer.

In ninties, the first milestone in cloud computing history was made by Salesforce company. The next comes Amazon Web Services in 2002 which provided various services including storage, computation and human intelligence through Amazon Mechanical Turk. Further it provided various products like Elastic Compute Cloud(EC2) and Amazon EC2/E3. Now many big companies like Google, Microsoft, IBM offer their own cloud and cloud services.

How Cloud Computing Works

Cloud computing applies traditional supercomputing, or high-performance computing power, normally used by military and research facilities, to perform tens of trillions of computations per second. In consumer-oriented applications such as financial portfolios, to deliver personalized information, to provide data storage or to power large, immersive online computer games.        

To do this, cloud computing uses networks of large groups of servers typically running low-cost consumer PC technology with specialized connections to spread data-processing chores across them. This shared IT infrastructure contains large pools of systems that are linked together. Often, virtualization techniques are used to maximize the power of cloud computing

2. Agile Methodology

In simple statement 'Agile Methodology is feedback based developing process.' Unlike waterflow methodology
customers interact with the developing team in every fixed time interval(usually 10 working days) to make
any changes needed in the so far developed application. This particular feedback is known as user stroy.

Let us see what user story is.
User story is a short perspective of the customer of what changes he needs to add in the project/Application.

Here is how it is written : As a <type of user>, I want <some goal> so that <some reason>.

Here is one example. As a Operator user I need save button on the top bar always so that I can save my data quickly.

As per the user story further modification will be progressed. 

Based on the user story the development team starts working. This short time interval in which the development team completes the task in the user story is called sprint.

This User Story and Sprints cycle continues till the product is being satisfied by the end customer.

Here are some key features of Agile.

• Agile results in reducing delivery cycle time. 
• Raise quality of the solutions. 
• Improve predictability of the resources. 
• Improves productivity of the organization. 
• Provides transparency into project health.
• Enjoy higher employee engagement.

BIG DATA, CLOUD: What does this DATA means? Why DATA is so important?

BIG DATA, CLOUD: What does this DATA means? Why DATA is so important?

Now a days we are hearing a lot of new about big data, cloud. What does this actually mean..

Yes, it is very important now a days to store the data of  a particular organisation safely, here let us consider Big Data.  It is nothing but a collection of many databases. There are different techniques which are used on this BIG DATA which will be useful in many ways. And from this BIG DATA  there comes a concept called DATA WAREHOUSING AND DATA MINING.  Yes this DW(DATA WAREHOUSING) and DM (DATA MINING) concepts are used in many big organisations and the results which are produced will impact much. For example consider amazon, flipkart websites, there you will be provided with many suggestions, the items which you saw earlier, and also another option like People also Bought. 

Now a days u also getting the ads of the items which you had seen in any e-commerce website . This is all because of the each and every small unit of data that is being stored and refiening that data to get future predictions. 

 

Now coming to the another most commonly used word in the world "CLOUD", the general definition for cloud is "central repository of data". We use pendrives to carry our data from one place to another, but now there is no need to carry pendrives or disks. We all store our photos, files, videos etc., in the cloud just by signing up. And here comes the most  interesting part, we can get these docs, photos form cloud anywhere and at anytime provided you need to have internet connection in your mobile :-p. In simple words the concept of cloud is like, we all have bank account, ATM card.

Let us map both cloud with bank. We all keep our money in the bank, and the bank people will provide us an ATM card, by using this ATM crad we can get our money at any place and at anytime. The same goes with the cloud also we all store our data in a bank called "Cloud ", 

and this cloud provides us a unique id. Whenever we need our data we just login to the cloud with our unique id and get the data, same as going to an ATM and getting the money.

Any doubts or any improvements that needed to be done in the above text please mention in the comments. 

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