NTT DATA EP
The NTT DATA EP SFDC Adapter MicroService EPMS optimizes performance and costs in SFDC applications considerably. Installations at major companies have shown: • Data exchange from on premise to cloud runs 5 times faster • Only one secured channel to cloud is necessary • Fast instant and seamless backup on local DB It improves integration with SFDC in the following areas: • Query and retrieve response times and throughput • Create, update and delete throughput • Reduced number of API requests to Salesforce (Governor Limits and License costs) • Reduced expensive Salesforce storage space by a seamless archiving concept • Full SQL power for complex query against customers data, e.g. for complex segmentations EPMS is a module of the NTT DATA Extension Platform EP, which was developed for a cost and effort reducing implementation and operation of any CRM platform (e.g. SFDC) with any IT environment.
Top keywords
- data4×2.86%
- sfdc4×2.86%
- cloud2×1.43%
- complex2×1.43%
- costs2×1.43%
- ep2×1.43%
- epms2×1.43%
- ntt2×1.43%
- ntt data2×1.43%
- platform2×1.43%
- query2×1.43%
- reduced2×1.43%
Metazoa Monarch - Relational Data Migration
Monarch helps admins and developers complete complex data migrations that simple loaders cannot handle. BUILD DATASETS • Extract connected parent and child records from a source org with filters. Features include field selection, record limits, templates, size estimates, and Bulk API processing. MIGRATE DATASETS • Load those records into a destination org while preserving relationships, matching records with IDs, External IDs, standard fields, and Virtual IDs, preventing duplicates, and supporting upsert, delete, retry, serial, and parallel modes. MANAGE DATASETS • Prepare data before the move with CSV and XML import, dataset comparison, object overview, field and value remapping, external ID creation, range cutting, dataset sharing, and missing record analysis. Monarch is built for sandbox seeding, test data refresh, backup, archive, disaster recovery, org splits, org clones, org mergers, CPQ moves, FSL data, and large org transformation projects. Sensitive values can be scrambled, transformed, or remapped. Automation can be deactivated during migration and safely restored. Error logs, retry datasets, and AI troubleshooting help teams fix data problems at scale.
Top keywords
- org6×3.64%
- data5×3.03%
- datasets4×2.42%
- ids3×1.82%
- records3×1.82%
- dataset2×1.21%
- external2×1.21%
- field2×1.21%
