Big Data Analytics and Cloud Computing

Big Data Analytics and Cloud Computing

1. Big Data Analytics

   • Refers to the process of
     • Browse
     • Processing
     • Interpret large volumes of data

2. Cloud Computing

   • Ability to acquire and use computer services such as:
     • Servers, storage, processing, databases, networking networking and software
       • Allows access to computing resources resources through the web, without the need to have your own servers.

3. Scalability

   • Cloud Computing allows you to adjust the storage and processing capacity processing capacity according to the needs of Big Data Analytics needs.

4. Speed and Agility

   • Cloud Computing improves the speed of Big Data analysis by providing powerful and flexible and flexible computational resources.

5. High Volume Storage and Processing

   • Cloud Computing has scalable infrastructure scalable infrastructure to store large volumes of data data, allowing analysis through Big Data Analytics to Data Analytics to obtain useful information.

6. Cost-Efficiency

   • Cloud reduces the infrastructure costs required to implement Big Data Analytics.

7. Remote access

   • Cloud computing allows you to access and analyze data from anywhere, optimizing collaboration and decision making.