1 / 7

Top 5 Ways of Understanding Big Data

How can you understand the term Big Data? Is there any way out? This blog summarizes top 5 ways of understanding big data.

databrio
Download Presentation

Top 5 Ways of Understanding Big Data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Top 5 Ways of Understanding Big Data Big Data Training Institute 10/3/2016 Data Brio Academy SBC

  2. If you are interested in Big Data, by now you must understand that big data is not at all about More Data. Here in this blog post, we are going to discuss top 5 ways of understanding big data.

  3. The Original Big Data We do?’t ?ea? authe?ti? o? ?o??e?t ?y the original. We actually mean the first ever definition composed twelve years ago by Doug Laney. Big data is viewed by this definition as the 3 Vs: Variety, Velocity, and Volume. Since then, individuals have been including their own Vs: Validity, Visibility, Veracity, and Value.

  4. Big Data as a new term for old things This is the most cynical and laziest use of the term, where projects which were probably to use earlier technology and would have been called Business Intelligence or Business Analytics in the past, have suddenly recalled in a justly obvious effort for leaping on the big data trend.

  5. Big Data as signals As the data set types, big data was not enough for business. By the time, the recording of these transactions is do?e, a?d it’s ?e?y late fo? doi?g a?ythi?g regarding them: organizations are continuously handling out of the rear-view mirror. Organizations can rather use new signal data in the new world for predicting what will happen and interfering for improving the situation. Instances include predictive maintenance and tracking brand sentiment on social media.

  6. Big data as data distinctions The issue with big data as technology is that 1) everyone knew that they were supposed to raise the argument and discuss something more useful stuff about business and 2) it’s unclear enough that all vendors in the industry leaped in for claiming it for them. There was a division made, the data produced by a human is also called transactional data which was machine generated and recorded data. This helped businesses understand their big data in the business context. Big data as technology The purpose that big data has presently taken the spotlight, twelve years later is because of the growth of open source technologies like NoSQL, Hadoop etc. These ?e? tools’ use?s ?e?ui?ed a te?? ?hi?h sepa?ated the? f?o? ea?lie? technologies, and anyhow finished up settling on the extremely insufficient term Big Data. If anyhow you go to a Big Data conference, then you can be guaranteed that sessions highlighting relational databases – no matter how many Vs they sport – will not be in the majority. At Data Brio Academy, we give candidates proper understanding of big data by conducting big data courses. So, contact us today if you are a big data enthusiast.

  7. CONTACT US ADDRESS: Data Brio Academy 1st Floor, 135/L SP Mukherjee Road, Near RashBehari Crossing, Kalighat, Kolkata, West Bengal PIN CODE: 700026 PHONE: +033-24660329 E-MAIL: info@databrio.com Website:http://www.databrio.com/

More Related