Centralized data repositories integrating structured data from multiple sources for reporting and analytics. Enables a "single source of truth".
Maintaining golden records and master reference data used across systems and organizations. Critical for data standardization and quality.
Massively scalable raw data stores ingesting and consolidating structured and multi-structured data from diverse sources. Serves as basis for downstream analytics.
Curated inventories and metadata enabling data discovery across data repositories and processing pipelines to support findability, reuse and governance.
Automated tools and prebuilt connectors for moving and transforming data across applications and databases. Crucial capability for unified analytics.
Profiling data to detect deficiencies, inconsistencies and errors combined with parsing, standardization, deduplication and enrichment techniques to fix data quality issues.
Applying access controls, encryption, tokenization, masking and monitoring to ensure regulatory compliance, privacy, risk management and business policy enforcement.
Linking, synchronizing and providing a unified point of reference for critical business entities like customer, product, supplier, location etc. referenced across operational and analytical systems.
Secure ETL batch processing transfers and real-time data streaming methods for migrating data sets across environments during upgrades or cloud migrations while maintaining consistency.
Policy driven hierarchical storage management and retention rules for cost optimized archival of aged cold data while retaining accessibility for discovery and audit needs.