Marketing

Big Data

By Author – Shubhangi Agarwal

Big data is non-traditional strategy and technology used to organize, process, and gather insights from large datasets. While the problem of working with data that exceeds the computing power or storage of a single computer is not new, the pervasiveness, scale, and value of this type of computing have greatly expanded in recent years.

In this article, we will talk about big data on a fundamental level and define common concepts you might come across while researching the subject. We will also take a high-level look at some of the processes and technologies currently being used in this space.

What Is Big Data?
An exact definition of “big data” is difficult to nail down because projects, vendors, practitioners, and business professionals use it quite differently. With that in mind, generally speaking, big data is:

Large Datasets: The category of computing strategies and technologies that are used to handle large datasets
In this context, “large dataset” means a dataset too large to reasonably process or store with traditional tooling or on a single computer. This means that the common scale of big datasets is constantly shifting and may vary significantly from organization to organization.

Why Are Big Data Systems Different?
The basic requirements for working with big data are the same as the requirements for working with datasets of any size. However, the massive scale, the speed of ingesting and processing, and the characteristics of the data that must be dealt with at each stage of the process present significant new challenges when designing solutions. The goal of most big data systems is to surface insights and connections from large volumes of heterogeneous data that would not be possible using conventional methods.

Big Data Analytics:

Big Data Analytics is one of the great new frontiers of IT. Data is exploding so fast and the promise of deeper insights is so compelling that IT managers are highly motivated to turn big data into an asset they can manage and exploit for their organizations. Emerging technologies such as the Hadoop framework and MapReduce offer new and exciting ways to process and transform big data – defined as complex, unstructured, or large amounts of data – into meaningful insights, but also require IT to deploy infrastructure differently to support the distributed processing requirements and real-time demands of big data analytics. Big data is data sets that are so voluminous and complex that traditional data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are five dimensions to big data known as Volume, Variety, Velocity and the recently added Veracity and Value.

Lately, the term “Big Data” tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analysis methods that extract value from data, and seldom to a particular size of data set. “There is little doubt that the quantities of data now available are indeed large, but thats not the most relevant characteristic of this new data ecosystem.” Analysis of data sets can find new correlations to “spot business trends, prevent diseases, combat crime and so on “Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet search, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research. You can take data from any source and analyze it to find answers that enable

1. Cost Reductions
2. Time reductions
3. New product development and optimized offerings
4. Smart decision making

The importance of big data doesnt revolve around how much data you have, but what you do with it.

Jain Software also provides projects based on Big Data. You can directly contact to Jain Software by calling on +91-771-4700-300 or you can also Email us on Global@Jain.software.

PRATYUSH

On Monday 08-01-18,
India unveiled its fastest supercomputer ‘Pratyush’ which is an array of computers that can deliver a peak power of 6.8 petaflops. One petaflop is a million billion floating point operations per second and is a reflection of the computing capacity of a system.
According to reports of Indian Institute of Tropical Meteorology (IITM), Pratyush is the fourth fastest supercomputer in the world which is designed for weather and climate research. It will also upgrade an Indian supercomputer from the 300s to the 30s in the Top500 list, a respected international tracker of the worlds fastest supercomputers.
The government had sanctioned last year 400 crore in order to put in place a 10-petaflop machine. The main functionality of this supercomputer would be monsoon forecasting with the help of a dynamic model. This requires simulating the weather for a given month and letting a custom-built model calculate how the actual weather will play out over June, July, August, and September. This new system would provide wings to the technology and it would be possible to map regions in India at a resolution of 3 km and the globe at 12 km.
The machines will be installed at two government institutes: 4.0 petaflops HPC facility at IITM, Pune; and 2.8 petaflops facility at the National Centre for Medium-Range Weather Forecast, Noida.
The sole purpose of installing such a high-capacity supercomputer in India is to accelerate the weather forecasting in the country, primarily before the arrival of Monsoon season in India. In addition, Pratyush will monitor the onset of other natural calamities such as floods and Tsunami in the country. As a matter of fact, farmers will get a big relief as the unprecedented rainy season in India often results in a bad annual crop production.
This increase in supercomputing power will go a long way in delivering various societal applications committed by MoES. This will also give a fillip to research activities not only in MoES but also in other academic institutions working on various problems related to Earth Sciences, said IITM in its release.

INDIA’S OTHER SUPERCOMPUTERSWith Pratyush, India makes its way into the list of top 30 supercomputers in the world. As of June 2017, following systems of India were on the list of top 500 supercomputing systems:

• SahasraT (SERC – Cray XC40) installed at Indian Institute of Science (ranked 165)
• Aaditya (iDataPlex DX360M4) installed at Indian Institute of Tropical Meteorology (ranked 260)
• TIFR – Cray XC30 installed at Tata Institute of Fundamental Research (ranked 355)
• HP Apollo 6000 Xl230/250 installed at Indian Institute of Technology Delhi (ranked 391)

3D Touch

Force touch technology was not efficient in this upgrading world to resolve this problem 3D touch was introduced. Taking the Force Touch technology to an altogether new level, Apple launched 3D Touch on iPhone 6S and 6S Plus. Being more sensitive than Force Touch, 3D Touch has been developed to work using capacitive sensors integrated into the display.
Working-

In functionality, 3D Touch is really smart. It allows you to carry out certain tasks instantly through quick actions. It is generally essential for performing the tasks we intend to use most often. You don’t need to launch an app to carry out actions. As for instance, if you want to take a selfie, you don’t need to launch the Camera app. Simply light press on the Camera app, you get the option to Take Selfie right on your Homescreen.
Functionality for Peek and Pop-
In order to master 3D Touch, you need to understand Peek and Pop. While the former refers to a light press, the later is a hard press.
If you want to peek at a message, you just need to press it lightly. And, if you wish to pop into the message for a full view, you need to press it a little more deeply. That’s how it works!
Differentiating between Force Touch and 3D Touch-
Force Touch is smart enough to detect the pressure applied on the screen. It can detect not just multiple touches on the screen but can also calculate the difference in pressure on various points of the screen.
However, while reacting to your touch, Force Touch is not as fast as 3D Touch. The lightning fast response of the 3D Touch is because of the fusion of capacitive sensors and strain gauges. This fusion is perfected by the Taptic Engine.
The Future for Touch Technology-

Knowing the significance of how much 3D Touch has been appreciated by iPhone 6s users; touch technology is going to get a lot better in future. With the amazing ability to let iPhone owners use their device with more convenience and faster, it is here to stay.
Android smartphone makers are also working to provide 3D touch on their phones, currently, the Nougat version based smartphones are providing 3D Touch.

Social Media Presence & Maintenance

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We innovate ,we impact ,We’re Logical thinkers of Social media !

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A.Company A signed up with Jain Software to manage their ecommerce page of facebook ,in 200 days ,ecommerce sale from same facebook account increased from 43 orders/per day to 223 orders/per day .

B.Government of XYZ state handovered all social accounts including facebook,twitter & googleplus to Jain Software Team ,the direct interaction with general public is now increased to 600% .

C. Cabinet minister shared facebook credentials with Jain Software and asked us to manage them .Jain Software proudly managing it and engaging 9x visitors on same page per day .