Big Data Analytics and Cloud Computing

Big Data Analytics and Cloud Computing

1. Scalability

   • Automatic scaling of resources.
   • Optimal processing of large volumes of data.
   • Pay-per-use infrastructure.

2. Storage

   • Cloud databases (SQL, NoSQL).
   • Unlimited and distributed storage.
   • Amazon S3, Google Cloud Storage.

3. Processing

   • Distributed processing across nodes.
   • Real-time analysis.
   • Apache Hadoop, Spark in the cloud.

4. Tools and Services

   • AWS, Microsoft Azure, Google Cloud Platform.
   • Integration with external services.

5. Security and Privacy

   • Encryption and controlled access.
   • Vulnerability and leak risks.

6. Accessibility and Collaboration

   • Teamwork on data in the cloud.
   • Intuitive data visualization.