Harnessing the Power of Data in the Cloud Era
In today's data-driven world, the management and utilization of data have become pivotal in driving business success and innovation. As organizations embrace the cloud for their data needs, mastering the art of handling and deriving insights from cloud data is essential for staying competitive and maximizing the value of information assets.
"Mastering Cloud Data" is your comprehensive guide to unleashing the full potential of data in the cloud. Authored by data experts, this book equips data professionals, analysts, and cloud enthusiasts with the knowledge and skills needed to excel in the dynamic realm of cloud data management and analytics.
Mastering Cloud Data
1.Introduction to Cloud Data
1.1.Understanding Cloud Computing
1.2.What is Cloud Data?
1.3.Benefits of Cloud Data
1.4.Challenges in Managing Cloud Data2.Cloud Storage
2.1.Overview of Cloud Storage Services
2.2.Choosing the Right Cloud Storage Provider
2.3.Data Storage Models. Object, Block, and File
2.4.Data Replication and Redundancy
2.5.Data Security and Encryption in Cloud Storage3.Cloud Databases
3.1.Introduction to Cloud Databases
3.2.Types of Cloud Databases. Relational, NoSQL, NewSQL
3.3.Scalability and Elasticity in Cloud Databases
3.4.Database as a Service (DBaaS)
3.5.Data Consistency and Availability in Cloud Databases4.Data Integration in the Cloud
4.1.Data Integration Challenges
4.2.Extract, Transform, Load (ETL) in the Cloud
4.3.Real-Time Data Integration
4.4.Data Quality and Governance in Cloud Data Integration
4.5.Case Study. Building a Cloud Data Integration Pipeline5.Big Data Analytics in the Cloud
5.1.Introduction to Big Data Analytics
5.2.Cloud-based Big Data Platforms
5.3.Data Processing Frameworks. Hadoop, Spark, and more
5.4.Data Warehousing and Data Lakes in the Cloud
5.5.Machine Learning and AI in Cloud Analytics6.Data Governance and Compliance
6.1.Data Governance in the Cloud
6.2.Data Privacy and Security Regulations
6.3.Compliance in Cloud Data Management
6.4.Auditing and Monitoring Cloud Data
6.5.Cloud Data Governance Best Practices7.Data Migration to the Cloud
7.1.Planning a Cloud Data Migration Strategy
7.2.Lift and Shift vs. Re-architecture
7.3.Cloud Data Migration Tools and Services
7.4.Data Transfer Methods and Best Practices
7.5.Case Study. Successful Cloud Data Migration8.Data Backup and Disaster Recovery
8.1.Cloud Data Backup Strategies
8.2.Backup and Recovery in Cloud Environments
8.3.Disaster Recovery as a Service (DRaaS)
8.4.Testing and Validating Disaster Recovery Plans
8.5.Ensuring Business Continuity in the Cloud9.Data Security and Privacy in the Cloud
9.1.Cloud Data Security Challenges
9.2.Authentication and Access Control
9.3.Encryption Techniques for Cloud Data
9.4.Data Loss Prevention (DLP) in the Cloud
9.5.Compliance with Data Privacy Regulations10.Cloud Data Governance and DataOps
10.1.DataOps in the Cloud
10.2.DevOps and DataOps Collaboration
10.3.Data Catalogs and Metadata Management
10.4.Data Lifecycle Management in the Cloud
10.5.Building a Data-Driven Organization11.Advanced Cloud Data Topics
11.1.Serverless Computing and Event-Driven Architectures
11.2.Streaming Data Processing in the Cloud
11.3.Data Science and Experimentation in the Cloud
11.4.IoT Data Management in Cloud Environments
11.5.Edge Computing and Cloud Data Integration12.Future Trends in Cloud Data
12.1.Emerging Technologies in Cloud Data Management
12.2.Hybrid and Multi-Cloud Data Strategies
12.3.Data Mesh and Federated Data Architectures
12.4.Ethical Considerations in Cloud Data Management
12.5.The Future of Cloud Data13.Appendix
13.1.Glossary of Terms
13.2.Recommended Resources
13.3.Cloud Data Case Studies
13.4.Cloud Data Architecture Diagrams
13.5.Cloud Data Certification Programs
13.6.About the author