Big data Analytics and Cloud computing

Big data Analytics and Cloud computing

1. Big data Analytics

   • Need to handle large volumes of data
   • Tools
     • Hadoop Spark
       • Need for big data
       • Innovation
       • New techniques
   • Applications
     • NoSQL DBs
       • Large volumen processing
       • Machine Learning
       • Advanced AI

2. Scalability

   • capacity
     • Big data storage
       • Accessibility
       • Remote Access
   • pay-per-use

3. Cloud Computing

   • Flexibility in the management and access to data and tolos.
   • Tools
     • Specific cloud services (AWS EMR, Google BigQuery, Azure HDInsight).
   • Certifications and regulatory compliance (ISO, GDPR).
   • Access to advanced technologies and AI services.

4. Service Models

   • PaaS
     • IT cost reduction
   • SaaS
     • It allows users to connect to and use cloud-based applications over the Internet