BIG DATA

BIG DATA

1. WHAT IS IT

   • It is the set of computer tools for the manipulation, management and analysis of data.

2. what is it for

   • To collect, store, classify and analyze all those statements of the different Internet users.

3. Why is it considered a state-of-the-art technology?

   • There is no other technology capable of managing and analyzing these volumes and data in no time

4. Why can it be applied to a certain problem or certain problems?

   • Because it allows you to analyze data quickly regardless of the location or structure.

5. characteristics

   • Volume of data
     • Information produced through:
       • Hardware, software, data, and politics.
       • Scientific and Engineering Opportunities
       • Technical Challenges in Advanced Computing
       • Technical Challenges in Advanced Computing
       • Hardware and architecture challenges.

6. Locality and scale

   • Speed of data
     • You should analyze the data and determine which is reliable and which is incorrect

7. Variety of data

   • Structured
     • Data that have well defined their length and format, such as dates, numbers or strings. They are stored in tables. One example is relational databases and spreadsheets.
   • not tructured
     • Data in the format as they were collected, lack a specific format. They can not be stored within a table because their information can not be stripped to basic types of data. Some examples are PDF, multimedia documents, emails or text documents.
       • JHON JAIRO TABORDA POVEA