CIO

JANUARY 26, 2023

“I make a lot of my budgeting decisions based on revenue value — what value will get added to the business by investing in a particular technology,” he says. For the freight transportation company, business intelligence (BI) is one area where IT can have a top-line impact. “We What is our backup strategy?

Budget 345

Budget Fractional CTO Off-The-Shelf Tourism 345

Apps Associates

OCTOBER 8, 2021

Capsule summary: Re-architect, migrate and re-platform complex Oracle E-Business Suite ERP environment from IBM AIX to AWS including multiple environments (production, non-production) with disaster recovery and backup, configuration of license manager. Performance management for Oracle E-business suite and Hyperion.

AWS 52

AWS Disaster Recovery Backup Data Center 52

Apps Associates

APRIL 20, 2022

Capsule summary: Re-architect, migrate and re-platform complex Oracle E-Business Suite ERP environment from IBM AIX to Linux on AWS including multiple environments (production, non-production) with disaster recovery and backup, configuration of license manager. Performance management for Oracle E-business suite and Hyperion.

Disaster Recovery 52

Disaster Recovery Cloud AWS Organization 52

Apps Associates

OCTOBER 22, 2020

Capsule summary: Re-architect, migrate and re-platform complex Oracle E-Business Suite ERP environment from IBM AIX to AWS including multiple environments (production, non-production) with disaster recovery and backup, configuration of license manager. Performance management for Oracle E-business suite and Hyperion.

AWS 40

AWS Disaster Recovery Backup Data Center 40

Altexsoft

OCTOBER 2, 2020

Transporting data from local repositories into a warehouse. Data analytics and business intelligence: drawing insights from data. Specialist responsible for the area: data analyst, business intelligence analyst, data scientist, marketing analyst. backups to prevent data loss.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Structured data is modeled to be easily searchable and occupy minimal storage space.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52