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Database / Warehouse

Capabilities

Version:
IDTitleDescriptionThreat Mappings
CCC.DataWar.CP01Centralized Data RepositoryActs as a centralized repository where data from various sources is consolidated, making it easier to manage and analyze large volumes of data.
1
CCC.DataWar.CP02Optimized Query PerformanceHandles complex queries on large datasets efficiently using techniques such as indexing and partitioning.
1
CCC.DataWar.CP03ScalabilityAbility to scale with growing data volumes and handle multiple queries simultaneously without compromising the performance.
1
CCC.DataWar.CP04Column StorageStores data in columns rather than rows for efficient data retrieval.
0
CCC.DataWar.CP05SQL Based QueryingSupports SQL based querying on the data sets with specific enhancements and optimization for data warehousing.
0
CCC.DataWar.CP06Data TypesAbility to store processed structured and semi-structured data optimized for querying and analysis.
0
CCC.DataWar.CP07Massively Parallel Processing (MPP)Distributes queries across multiple nodes for increased performance.
0
CCC.DataWar.CP08Materialized ViewsAbility to store results of a query into physical tables for faster data retrieval and improved query performance for complex queries.
0
CCC.DataWar.CP09Column-Level SecurityAllows setting access policies at the column level to restrict access to sensitive data fields within tables.
0
CCC.DataWar.CP10Row-Level SecurityEnables setting access policies at the row level to control access to subsets of data within a table based on user roles.
0
CCC.DataWar.CP11Integration with Data SourcesSeamless integration with various data sources such as object storage, relational and non-relational databases, data streams and data lakes.
0
CCC.DataWar.CP12Integration with ETLIntegration with services that perform extract, transform and load data from various sources into the data warehouse. Unstructured data in transformed to structured or semi-structured data before ingestion to the data warehouse using ETL tools.
0
CCC.DataWar.CP13Integration with MLBuild-in integration with machine learning services for enhanced processing of large volumes of complex data with ML models for predictive analytics, automated insights and more. ML can be used in data cleansing and transformation for improved data quality as well.
0
CCC.DataWar.CP14Real-time Metrics PublicationAbility to continuously track and analyze data as it is ingested, processed and stored to ensure data quality, operational efficiency, scalability and security.
0
CCC.DataWar.CP15Cross-Region ReplicationAbility to replicate data to multiple regions for high availability, disaster recovery and low-latency access.
0
CCC.DataWar.CP16View Creation and AccessSupports the creation of views (can be logical or material) to abstract and simplify access to underlying data. Views can be created with custom queries to expose subsets of data. These views are accessible by users and applications with appropriate permissions.
0

Imports

IDRemarks
CCC.Core.CP01Encryption in Transit Enabled by Default
CCC.Core.CP02Encryption at Rest Enabled by Default
CCC.Core.CP03Access Log Publication
CCC.Core.CP04Transaction Rate Limits
CCC.Core.CP06Access Control
CCC.Core.CP07Event Publication
CCC.Core.CP08Data Replication
CCC.Core.CP09Metrics Publication
CCC.Core.CP10Log Publication
CCC.Core.CP11Backup
CCC.Core.CP12Recovery
CCC.Core.CP14API Access
CCC.Core.CP19Child Resource Scaling
CCC.Core.CP23Network Access Control
CCC.Core.CP24Core Processing Units (CPU)
CCC.Core.CP25Random Access Memory Allocation
CCC.Core.CP26Persistent Storage
CCC.Core.CP28Command-line Interface
CCC.Core.CP29Active Ingestion
CCC.Core.CP30Passive Ingestion
CCC.Core.CP31Elastic Scaling