Basic HTML Version

|  | Table of Contents |  | View Full Version

Page 121 - 2611_SmartGPT Pro V(5.0) C-8
P. 121

    Unstructured Data
                     Unstructured data lacks a predefined format or organisation, making it more difficult to search
                     and analyse. It includes diverse data types like text, images, audio, and videos. For example:
                       Natural Language Data: It is a type of unstructured data and is very difficult to process. The
                       meaning of the same word changes depending on the mood of the speaker. For example, the
                       same word could have two different meanings when spoken joyfully or when uttered sadly.
                       Audio, video, and images: This type of data is the biggest challenge for data scientists because
                       finding objects and patterns turns out to be a challenging task for computers.

                     Semi-structured Data
                     Semi-structured data contains elements of both structured and unstructured data, with some
                     organisational properties but no rigid schema. It often uses tags or markers to separate data
                     fields. For example:
                       Graph-based or Network Data: The data that is generated from a relationship or connections
                       between objects is called graph-based or network data. Such type of data is found on social
                       media websites and is a natural way to represent networks.
                       Streaming Data: Streaming data can take any of the forms. It is not a different kind of data, but
                       it flows into the systems instead of being loaded into a data store in batches.

                               WHY DATA SCIENCE?

                     Data  has become  an important  fuel on which industries  function  today.  For companies  to
                     grow and flourish, they need data to be analysed. This analysis then helps them measure their
                     performance  and  gauge  the  expectations  of the  market.  Healthcare  industries  also  use  data
                     science to recognise microscopic tumours and deformities at an early stage of diagnosis. The
                     person responsible for dealing with data in order to assist companies in making proper decisions
                     is called a data scientist.

                          Tick ( ) if you know this.
                          ▶   Big data refers is a term used for large dataset that is complex and is to be processed by
                             traditional data management techniques.
                          ▶   Different types of data include structured, unstructured, semi structured, etc.

                               ROLE OF DATA SCIENTIST

                     A data scientist is someone who uses data sets to create a hypothesis and then works on the
                     data set to analyse the data, interprets it and makes sense of it. A data scientist is responsible for
                     dealing with all types of data. He/she uses various tools and practises to recognise patterns within
                     the data.

                                                                                   Introduction to SDGs and Data Science  119

| 116 117 118 119 120 121 122 123 124 125 126 |