Big Data is the widely used technology that deals with systematically extracting the information from the large and complex, structured and unstructured data which are difficult to solve using normal data processing software. Big data include capturing data, data storage, data analysis, search, sharing, transfer, visualisation, querying, updating, information privacy and data sources.
Big data is generally associated with three main V’s- volume, variety and velocity. When there are large structured and data, we are primarily concerned with observing and tracking those data. Thus, Big data includes data with sizes which are greater to be handled by using normal software.
Today, Big data uses predictive analytics, user behaviour analytics and other typical analytics methods to extract information from data.
This analysis of data can be useful in the development of medicine, science, technology and so on. Scientists, business executives, analyst, practitioners of medicine, advertising companies, and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, urban informatics, and business informatics. However, there is a big misconception between Big data and Business Intelligence (BI).
Big data uses mathematical optimisation, statistics and concept of non-linear system identification to conclude laws (correlations, regressions and non-linear relationship effects) from large sets of data which contain low information to reveal relationship or to predict the behaviour and outcomes.
Business Intelligence (BI) uses mathematical tools and descriptive statistics with data of high information to measure and calculate outcomes, detect trends and forecast the future of the organisation.
Putting simply, data means the collection of information. For example, your post on Facebook, the video you watched on YouTube, your search for an answer on Google, etc. All this is data, which means information. What is Big Data? As the name suggests, big data means a large amount of data. Big data typically refers … Read more
Semi-structure data in big data Data is not only becoming easily accessible but also easily understandable to the systems. Most of the big data embedded in data is unpredictable. They usually contains unruly stuffs such as videos, words, images from web and those streamed down from sensor data. But the computer tools are adding knowledge … Read more
Big Data Analytics Big data analytics is the complex process of examining and processing large amount and varied amount of data sets or big data to reveal the truth by examining hidden patterns, unknown correlations, fluctuations in market trends, customer choices and preferences. This information can help business organizations to plan according to the customers … Read more
Data is something that an organisation hold and it can be presented in multiple formats. However,? rapid advances in technology have caused many changes in the data definition. Today, analyst and data scientist termed data as unstructured and machine-generated and something that is beyond corporate boundaries. Big data is the term used to describe a … Read more
Difference between Big Data and Data Analytics In this modern era, a tremendous amount of data is being generated and processed every second. With this data, diverse platforms have been created in this landscape, which includes Big data, Data analytics, Data science and many more. Data is the biggest asset of any business organisation in … Read more
Does big data contain structured data Yes, big data contain structured data. Structured data account for only about 20 per cent to big data, but the organization and efficiency of structured data make it the backbone of big data. Data, whether structured or unstructured, is indispensable to the business. The term big data is common … Read more
The term big data refers to the large volume of data both structured and unstructured data. It is so large and complex that it’s difficult and next to impossible to process using traditional data techniques. 3Vs or Characteristics of big data are: Volume It is related to how data is stored. Organizations collect a huge … Read more
Difference between Big Data and Hadoop In this modern era, a tremendous amount of data is being generated and processed every second. With this data, diverse platforms have been created in this landscape, which includes Big data, Data analytics, Data science and many more. What is big data and Hadoop? Data is the biggest asset … Read more