Vaishlashik 2016-12-29T14:13:00+00:00

What is Defined as BIG Data?

Big data is a term used to define data sets so large or complex that traditional data processing applications are inadequate to handle it. Typically, Big Data is large VOLUME of data, consists of VARIETY of types (both structured and unstructured) and is being generated at a high VELOCITY. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy.

The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making. And better decisions can mean greater operational efficiency, cost reductions and reduced risk.

Ace Data Vaishlashik – Big Data Analysis-as-a-Service

Store Big Data on Abhraya Cloud

Data digital flow

You have been generating, collecting and storing vast amounts of data. Now, your IT is being asked not just to store the data but to provide the infrastructure to perform analytics on it. The trouble is that the task is a resource-intensive proposition. For organizations that don’t have idle servers to throw at big data workloads, tapping into the Cloud is a valid alternative to maintaining costly internal infrastructure.

As Abhraya storage is pay-per-use, they are a good fit with finite big data workloads. Further, many big data analytics jobs can be easily “parallelized,” or chopped up into smaller, more discrete tasks, which maps nicely to our cloud. We offer templates for popular big data platforms such as Hadoop, making it easier for your administrators to set up the requisite infrastructure.

Let Suprayukta Manage your Big Data

The Volume, Variety, Velocity and Veracity of Big Data that you have collected requires specialized treatment and management by experts who understand how data behaves. Ace Data has an experience of over a decade of data protection, storage technologies, backup and disaster recovery encompassing all possible operating systems and application combination scenarios.

When it comes to Big Data handling we have specialized solutions to take care of the combo of structured and unstructured data. Relational database management systems and desktop statistics and visualization packages often have difficulty handling big data. The work instead requires massively parallel software running on tens or hundreds of servers. Ace Data Suprayukta has customized modules to deal with the intricacies of Big Data.

Get Analytics performed as-a-Service

You have been collecting various kind of market intelligence, customer preferences, trends and other such data for ages. And it is lying idle on your servers just consuming space and costing you just to maintain its backup and lifecycle.

On top of upfront costs, storing and managing large quantities of information requires an ongoing investment of time and resources. When you use Vaishlashik, all of the techy “nuts and bolts” are, in theory, out of sight and out of mind, leaving you free to concentrate on your core business issues.

We help you get juice of information our of this data by using Analytics on it. Talk to us and we will tell you how to mine gold out of your data nuggets. You reap the benefits without any troubles.

Big Data Protection FAQs

  • What is Big Data?
  • Why are companies interested in Big Data?
  • What are some of the Big Data challenges that companies face?
  • What is the business opportunity that lies in Big Data?
  • What is different with protecting Big Data?
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The Costs of Rapid Data Growth

Managing backup and recovery software costs as data volume grows. For most businesses, data backup and recovery is more expensive than ever. Since you pay for backup and recovery software based on your data capacity, your costs grow just as fast as your data volume. At the current rate of data growth, costs are quickly becoming unsustainable. Combine this with increasing data variety, mobile workforces and ‘bring-your-own-device,’ and IT managers are faced with a formidable challenge. There is a need in the backup market for a new pricing paradigm that provides a solution to these challenges facing businesses today.
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What Makes Data So BIG?

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Challenges to Using Big Data in Retail

51%

Lack of sharing data is an obstacle to measuring marketing ROI

45%

Not using data effectively to personalize marketing communication

42%

Not able to link data together at the individual level

39%

Data collected too infrequently or not quickly enough

29%

Too little or no customer / consumer data

Perceived Benefits of Big Data Analytics

Better and faster decision making 63%
Identifying new business opportunities 45%
Exploiting new business opportunities faster 37%
Planning scenarios with greater confidence 31%
45%

45% do not feel that they had big data analytics in the last major business decision they made.

76%

Of those, 76% agreed that it would have helped ensure a positive business decision.