| ID | Title | Description |
|---|---|---|
| CCC.DataWar.CP01 | Centralized Data Repository | Acts as a centralized repository where data from various sources is consolidated, making it easier to manage and analyze large volumes of data. |
| CCC.DataWar.CP02 | Optimized Query Performance | Handles complex queries on large datasets efficiently using techniques such as indexing and partitioning. |
| CCC.DataWar.CP03 | Scalability | Ability to scale with growing data volumes and handle multiple queries simultaneously without compromising the performance. |
| CCC.DataWar.CP04 | Column Storage | Stores data in columns rather than rows for efficient data retrieval. |
| CCC.DataWar.CP05 | SQL Based Querying | Supports SQL based querying on the data sets with specific enhancements and optimization for data warehousing. |
| CCC.DataWar.CP06 | Data Types | Ability to store processed structured and semi-structured data optimized for querying and analysis. |
| CCC.DataWar.CP07 | Massively Parallel Processing (MPP) | Distributes queries across multiple nodes for increased performance. |
| CCC.DataWar.CP08 | Materialized Views | Ability to store results of a query into physical tables for faster data retrieval and improved query performance for complex queries. |
| CCC.DataWar.CP09 | Column-Level Security | Allows setting access policies at the column level to restrict access to sensitive data fields within tables. |
| CCC.DataWar.CP10 | Row-Level Security | Enables setting access policies at the row level to control access to subsets of data within a table based on user roles. |
| CCC.DataWar.CP11 | Integration with Data Sources | Seamless integration with various data sources such as object storage, relational and non-relational databases, data streams and data lakes. |
| CCC.DataWar.CP12 | Integration with ETL | Integration 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. |
| CCC.DataWar.CP13 | Integration with ML | Build-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. |
| CCC.DataWar.CP14 | Real-time Metrics Publication | Ability to continuously track and analyze data as it is ingested, processed and stored to ensure data quality, operational efficiency, scalability and security. |
| CCC.DataWar.CP15 | Cross-Region Replication | Ability to replicate data to multiple regions for high availability, disaster recovery and low-latency access. |
| CCC.DataWar.CP16 | View Creation and Access | Supports 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. |
Database / Warehouse
Capabilities
Version: