DATA INSIGHTS & ANALYTICS CHALLENGES
Legacy approaches to data provisioning make it hard to populate analytics data warehouses with quality data and keep them current.
The same challenges that plague development teams in terms of currency or recency of data, time to provision, and potential production-impact from secondary workloads, also haunts information management teams looking to build data warehouses/marts, or implement a master data management strategy. Extracting, transforming, and loading data into data marts often impacts production systems or needs to be scheduled infrequently, or at inconvenient times to minimize production impact.
The frequently manual nature of ETL processes can cause delays in the creation or updating of data marts or warehouses. Frequently, these painful processes result in the lack of a “single source of truth” for business data. Many organizations that would like to establish a Master Data Management program are unable to provision core data sets with current technology and processes.
ACTIFIO FOR DATA INSIGHTS & ANALYTICS
100% Data Access, 0% Production Impact
Actifio provides easy access to current data without impacting production systems. With change block tracking, Actifio maintains a golden copy of up-to-date data from enterprise systems.
With rich database support, Actifio can instantly mount space-efficient copies (snaps and/or clones) of production data to feed ETL processes and analytics systems and build marts and warehouses.
And, with patented LiveClone technology, those snaps can be automatically refreshed from production without expanding to full-size. In addition, these centralized ‘virtual copies’ of data managed by Actifio can kickstart an enterprise Master Data Management (MDM) initiative.
KEY FEATURES FOR DATA INSIGHTS & ANALYTICS
Actifio’s offers several key features that enable better data provisioning for data warehouses, business analytics, and MDM:
The end result when using Actifio for provisioning data for analytics, data warehouses, and MDM is an easier provisioning process, more recent data for better analysis, and lower impact on infrastructure with reduced storage and network impacts, all with zero impact to production systems.
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