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Introduction to Data Services
Understanding Data Management
and Cloud Solutions
Presented by: [Your Name]
Date: [Your Date]
What are Data Services?
• - Services that manage, process, and store
data
• - Includes cloud storage, databases, and
analytics
• - Helps businesses make data-driven decisions
Types of Data Services
• - Storage Services (AWS S3, Google Drive,
Dropbox)
• - Database Services (SQL, NoSQL, Cloud
Databases)
• - Data Analytics & Processing (Big Data, AI, BI
Tools)
• - Data Security & Backup Services
Cloud Data Services
• - Cloud-based storage and processing
• - Examples: AWS, Google Cloud, Microsoft
Azure
• - Benefits: Scalability, Cost-effectiveness,
Security
Database Management in Data
Services
• - SQL vs. NoSQL Databases
• - Cloud Databases (Firebase, DynamoDB,
CosmosDB)
• - Data Warehousing (Snowflake, Redshift,
BigQuery)
Data Security and Compliance
• - Data encryption and access control
• - Compliance (GDPR, HIPAA, ISO 27001)
• - Importance of backups and disaster recovery
Future of Data Services
• - AI-driven Data Management
• - Edge Computing and IoT Data
• - Blockchain for Secure Data Transactions

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Data_Services_Presentation.pptx Data service centre

  • 1. Introduction to Data Services Understanding Data Management and Cloud Solutions Presented by: [Your Name] Date: [Your Date]
  • 2. What are Data Services? • - Services that manage, process, and store data • - Includes cloud storage, databases, and analytics • - Helps businesses make data-driven decisions
  • 3. Types of Data Services • - Storage Services (AWS S3, Google Drive, Dropbox) • - Database Services (SQL, NoSQL, Cloud Databases) • - Data Analytics & Processing (Big Data, AI, BI Tools) • - Data Security & Backup Services
  • 4. Cloud Data Services • - Cloud-based storage and processing • - Examples: AWS, Google Cloud, Microsoft Azure • - Benefits: Scalability, Cost-effectiveness, Security
  • 5. Database Management in Data Services • - SQL vs. NoSQL Databases • - Cloud Databases (Firebase, DynamoDB, CosmosDB) • - Data Warehousing (Snowflake, Redshift, BigQuery)
  • 6. Data Security and Compliance • - Data encryption and access control • - Compliance (GDPR, HIPAA, ISO 27001) • - Importance of backups and disaster recovery
  • 7. Future of Data Services • - AI-driven Data Management • - Edge Computing and IoT Data • - Blockchain for Secure Data Transactions