big data Tag

Big Data | Retrieving senseful information from junk

Every company, organization or industry produce voluminous amount of data in the form of sales logs, clients records stock transaction records etc. these data is useless until it is analyzed, processed and organized in such a way that can be beneficial in some aspect to the companies.

At Jain Software Developers we focus on companies valuable data and make it useful for the benefit of companies. We thoroughly analyze heap of data piece by piece and extract most valuable data that can be used. With the help of visualizations concepts we present these collected information to the companies and suggest how beneficial it can be for them. WE follow the standard process of software techniques which includes Information gathering, service implementation, testing and automation, security and support.

OUR BIG DATA SOLUTIONS:

• Data Management Software

Embed information and analytical results directly into operations at the point of decision.

• Big Data Solutions for Hadoop

Get complete data-to-decision support for Hadoop and big data.

• High-Performance Analytics

Get significant value from big data with in-memory analytics solutions that put high-impact insights at your fingertips.

• Visual Analytics

Visually explore all data, discover new patterns and publish reports to the web and mobile devices.

Our big data services includes

• Data Modeling, Algorithm development,
• Develop map reduce code, custom code
• Data Integration Services, Search & Document Indexing
• Data Quality and Metadata management
• Reports / Visualizations, Analytics (Machine Learning, Statistical Programming, Text Mining)

What is Big Data?

Introduction:

            Big data is a term that describes the large volume of data ` both structured and unstructured ` that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves for any organizations or company.

History:

            While the term “big data” is relatively new, the act of gathering and storing large amounts of information for eventual analysis is ages old. The concept gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three Vs:

1. Volume:-Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data.
2. Velocity:-Data streams in at an unprecedented speed and must be dealt with in a timely manner.
3. Variety:-Data comes in all types of formats ` from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions.

Why Big Data important?

The importance of big data doesn’t revolve around how much data you have, but what you do with it. 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, and 4) smart decision making. When you combine big data with high-powered analytic, you can accomplish business-related tasks such as:

• Determining root causes of failures, issues and defects in near-real time.
• Generating coupons at the point of sale based on the customer’s buying habits.
• Recalculating entire risk portfolios in minutes.
• Detecting fraudulent behavior before it affects your organization

Who uses Big Data?

Today’s life we have large amount of information to gathering and storing but that doesn’t matter how much amount of data you have.

Below points shows where big data is important-

• Education
• Government
• Healthcare
• Banking
• Manufacturing
• Retail etc.

Awadhesh Kumar

Jain Software Developers