Big Data is a must learn topic in the data science
- 2. BENEFITS OF BIG DATA ANALYTICS • Real-time forecasting and monitoring of business as well as the market. • Identify crucial points hidden within large datasets to influence business decisions. • Identify issues in systems and business processes in real- time. • Dig in customer data to create tailor-made products, services, offers, discounts, etc. • Facilitate speedy delivery of products/services that meet and exceed client expectations.
- 3. TYPES OF BIG DATA • Following are the types of Big Data: Structured Unstructured Semi-structured
- 4. STRUCTURED • Structured Data is used to refer to the data which is already stored in databases, in an ordered manner. • There are two sources of structured data; • Human-Generated • Machine-Generated • All the data received from sensors, web logs and financial systems are classified under machine-generated data. • Human-generated structured data mainly includes all the data a human input a computer, such as his name.
- 5. UN-STRUCTURED • Unstructured data is defined as any data with an unknown form or structure. • Aside from its massive size, unstructured data presents a number of challenges in terms of processing and extracting value from it. • A heterogeneous data source containing a mix of simple text files, images, videos, and so on is an example of unstructured data.
- 6. SEMI-STRUCTURED • Semi-structured data can contain both types of information. • Semi-structured data appears to be structured, but it is not defined in the same way that a table definition in a relational DBMS is. • A data representation in an XML file is an example of semi- structured data.