Big DATA

Big DATA
Component

Big DATA

Big data is a term to state the big data volume, whether structured or not. Here, the amount of data is not important.

What does the organizations do with important data? They analyze the big data and use them to lighten their way in their future decisions.

<b>History of the  </b><br><small>Big Data</small>

History of the
Big Data

The term ‘’Big Data’’ is used for data that is too hard or impossible to process with the traditional methods. To store this information was very time and space consuming for analytics.

At the beginning of 2000’s, industry analyst Doug Laney came up with the big data definition with three big V’s. 





Corporations, gather information from different sources such as transactions, smart devices, industrial equipment, videos, social media etc.


Back in the day, to store the information was hard as the storage units were expensive. As they have become cheaper and platforms like Hadoop developed, this burned has been eased with the time.

With the growth of the Internet of Things, data comes to businesses at an unprecedented speed and needs to be handled in the shortest time.


RFID tags, sensors and smart meters simplify the need to deal with these data streams in real time.

From structured, numerical data to unstructured text documents, emails, videos, voices, stock data, and financial transactions in traditional databases; data comes in all formats, regardless of format, and waits to be processed and stored.


As vMind, we add two additional dimensions to these items when it comes to big data.

In addition to the increasing speed and the variety of data, data flows have reached unpredictable dimensions. This data also changes frequently.


Here, we prepare the infrastructure for the analysis you want from meaningful meaningless and constantly changing data.

Veracity refers to data quality. Because data comes from many different sources, it is difficult to connect, match, clean, and convert data between systems.


Businesses should link and relate relationships, hierarchies, and multiple data connections. Otherwise, the data may get out of control quickly. As vMind, we provide this with 100% accuracy.

<b>Why is </b><br><small>Big Data Important?</small>

Why is
Big Data Important?

The important part of big data is not the amount of data you have, but what you do with it.
You need to analyze data from any source for the following headings.

  • •   Cost reduction.
  • •   Time reduction.
  • •   New product development and optimized offers.
  • •   Finding answers that make intelligent decision making possible. 

<b>How does Big Data </b><br><small>Work at vMind?</small>

How does Big Data
Work at vMind?

Businesses should consider how many locations, resources, systems, owners and users flow between them before working on this issue.


Here are five basic steps to address this large “data texture’’ that includes traditional, structured data as well as unstructured and semi-structured data: 

Setting Up Your Big Data Strategy

Setting Up Your Big Data Strategy

Get instant access to CAE with our national, powerful, fast and secure cloud infrastructure.
 

  • •   ANSYS, STAR CCM+, CST, COMSOL, Abaqus, MATLAB, LS-DYNA, NUMECA, OpenFOAM, FORGE® NxT.
  • •   Easy licensing with either your own license or cloud license.
  • •   Connect to your processes without the hassle of program installations or HPC architecture complexity.

You Access Big Data, We Manage and Store

You Access Big Data, We Manage and Store

With vMind Cloud HPC, you have the scalability and flexibility of the cloud in vMind’s own datacenter without leaving your data abroad.

  • •   You don't need to buy state-of-the-art Intel processors and the most powerful GPUs or enter a refresh cycle.
  • •   Buy a reasonable computer for everyday usage and speed up your business using vMind Cloud HPC for your simulations.
  • •   Increase your competitive power.

Analyze Big Data

Analyze Big Data

The vMind Cloud HPC solution is designed to make your simulations feel as if they are running on your desktop computer or workstation.
 

  • •   Log in to your system with your web browser or with your mobile devices. Upload your models using one of the standard data transfer applications.
  • •   Start Solver application you use and work as if you are at your own computer.

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