Big Data Storage Solution - NoSQL Training Course

Limits of Traditional Technologies for Government

• SQL Databases: Challenges in scalability and performance under high load.
• Redundancy: Use of replicas and clusters to ensure data availability and disaster recovery.
• Constraints: Limitations in enforcing complex business rules and data integrity.
• Speed: Performance bottlenecks when handling large volumes of real-time data.

Overview of Database Types for Government

• Object Databases: Designed for storing objects directly, enhancing application performance.
• Document Store: Flexible schema for unstructured and semi-structured data, suitable for content management systems.
• Cloud Databases: Scalable and managed database services hosted in the cloud, offering pay-as-you-go models.
• Wide Column Store: Optimized for storing large amounts of data with high write throughput, ideal for big data applications.
• Multidimensional Databases: Designed for complex analytical queries and multidimensional data structures.
• Multivalue Databases: Support multiple values in a single field, useful for legacy systems and specific business needs.
• Streaming and Time Series Databases: Specialized for handling continuous streams of time-stamped data, essential for IoT and financial applications.
• Multimodel Databases: Combine features of multiple database types to support diverse data models within a single system.
• Graph Databases: Designed for storing and querying highly interconnected data, useful for social networks and recommendation engines.
• Key-Value Stores: Simple and fast storage for key-value pairs, ideal for caching and session management.
• XML Databases: Store and query XML documents efficiently, suitable for data exchange and document-centric applications.
• Distributed File Systems: Provide scalable and fault-tolerant storage for large datasets, essential for big data processing.

Popular NoSQL Databases for Government

• MongoDB: A widely used document store that supports flexible schema and horizontal scalability.
• Cassandra: A distributed wide column store designed for high availability and linear scalability.
• Apache Hadoop: An open-source framework for distributed storage and processing of large datasets, often used with HDFS and MapReduce.
• Apache Spark: A fast and general-purpose cluster computing system that supports real-time data processing and machine learning.
• Other Solutions: Various other NoSQL databases and frameworks tailored to specific use cases and performance requirements.

NewSQL for Government

• Overview of Available Solutions: NewSQL databases aim to provide the scalability of NoSQL with the ACID compliance of traditional SQL databases.
• Performance: Designed to handle high transaction volumes while maintaining strong consistency and reliability.
• Inconsistencies: Challenges in achieving both high performance and strict data consistency, often requiring trade-offs between these attributes.

Document Storage/Search Optimized for Government

• Solr/Lucene/Elasticsearch: Highly scalable search platforms that support full-text search, faceting, and real-time indexing, essential for large-scale document management and information retrieval systems.
• Other Solutions: Various other document storage and search solutions designed to meet specific performance and feature requirements.