Vantage operates as a worldwide multi-asset brokerage, providing clients with an agile and robust service to trade CFDs across various markets including Forex, Commodities, Indices, Shares, and Cryptocurrencies.
With over a decade of industry experience and its main office located in Sydney, Vantage has expanded to employ more than 1,000 staff members across 30 international locations.
Beyond its role as a broker, Vantage cultivates a reliable trading environment and offers a streamlined trading platform, empowering clients to capitalize on potential trading opportunities with ease and efficiency.
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Teradata VantageCloud: Open, Scalable Cloud Analytics for AI
VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.
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Rocket DataEdge
Hybrid data estates create silos, duplicate datasets, and “unknown” data flows. Teams lose time finding the right data, can’t trace lineage for audits, and take on risk when changes break downstream reports and apps.
Rocket® DataEdge™ is a metadata-driven data intelligence, integration, and virtualization platform. It connects and delivers data across heterogeneous systems while adding business and technical context, lineage, and end-to-end visibility so teams can understand what data exists, where it’s used, and how it moves.
Key capabilities:
• Metadata capture and cataloging with glossary/tags/ownership
• Lineage and impact visibility to troubleshoot and govern change
• Seamless hybrid data integration plus virtual/federated access
• Connectors/APIs for mainframe, distributed, and cloud sources/targets
• Policy-driven security/governance controls across environments
Outcome: faster time-to-data with fewer brittle pipelines, audit-ready visibility, and more trusted analytics/AI inputs.
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IRI FieldShield
IRI FieldShield® is a powerful and affordable data discovery and de-identification package for masking PII, PHI, PAN and other sensitive data in structured and semi-structured sources. Front-ended in a free Eclipse-based design environment, FieldShield jobs classify, profile, scan, and de-identify data at rest (static masking). Use the FieldShield SDK or proxy-based application to secure data in motion (dynamic data masking).
The usual method for masking RDB and other flat files (CSV, Excel, LDIF, COBOL, etc.) is to classify it centrally, search for it globally, and automatically mask it in a consistent way using encryption, pseudonymization, redaction or other functions to preserve realism and referential integrity in production or test environments.
Use FieldShield to make test data, nullify breaches, or comply with GDPR. HIPAA. PCI, PDPA, PCI-DSS and other laws. Audit through machine- and human-readable search reports, job logs and re-ID risks scores. Optionally mask data when you map it; FieldShield functions can also run in IRI Voracity ETL and federation, migration, replication, subsetting, and analytic jobs. To mask DB clones run FieldShield in Windocks, Actifio or Commvault. Call it from CI/CD pipelines and apps.
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