UNIFY AND ACCELERATE SECURE DATA ACCESS FOR YOUR END USERS
BUILD LOGICAL DATA WAREHOUSES
IMPROVE PRIVACY PROTECTIONS
CENTRALIZE ACCESS AND
ENABLE MORE DATA FOR MORE USERS
AUTOMATICALLY OPTIMIZE PERFORMANCE
As VMware famously did 2 decades ago for server virtualization, data virtualization is creating a revolution around data access and optimization on a number of levels.
Users browse for data within a unified data catalog, rather than wasting time hunting for data sources. On-boarding times for new analysts are reduced drastically.
Since access is centralized, it is also logged, which simplifies reporting for auditors.
Centralized access also means single master copies of data can serve multiple purposes (dev, analytics, customization, etc.) without the need for copies that increase privacy risk.
Adding new data sources and migrating data is much less disruptive, since all users are connecting to a unified data abstraction layer.
Reduce the number of unique skill sets required for analysts to access data. Simple Query Language (SQL) provides near-universal accessibility and usage while virtualization handles the back end.
Each of the Data Virtualization vendors that Apero partners with provides organizations with a distinct, top-rated capability around data access, performance, and security.
Unifi Software delivers an automated, end-to-end data discovery, prep, cataloging, and analysis solution.
For an all-in-one solution that provides a user-friendly data pipeline, and enables a large number of users to engage with your data sets to begin your journey toward data-driven insights, Unifi Software is a great place to start.
Immuta stands as the premier data privacy platform within today's heavily-regulated business climate.
It delivers a centralized data catalog, governed by human-readable policy engines based on"Who can see which data sets, and why?"
Row-level de-identification and differential privacy complete the offering and ensure customer safeguards.
Denodo maximizes the performance benefits of data virtualization, focusing on delivering logical data warehouses.
Automatically-optimized, technology-specific queries, Hadoop offload, and caching technologies deliver orders of magnitude faster performance and significantly reduced bandwidth between data sources and end users.