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Cloud and AI Readiness Assessments
A fixed-fee review of your data estate, cloud readiness and AI readiness. You get an executive scorecard to measure progress against and a target-state architecture to build toward.
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Data Platform Strategy and Technical Roadmaps
Platform strategy tied to the outcomes your leadership is accountable for, turned into 90-day priorities, a 12–18 month roadmap and implementation sequencing.
Expertise
Enterprise data architecture, from your databases to AI.
Frogstone is led by a Principal Data Architect with more than 30 years of experience designing, modernizing and optimizing enterprise data platforms.
We help organizations modernize legacy data infrastructure, improve reliability and scalability, and build the architectural foundations that cloud adoption, advanced analytics and AI depend on.
Our team takes on work of every size, from one slow system to a full platform modernization, and provides ongoing support on retainer.
Experience across
- Enterprise architecture strategy
- Complex distributed database environments
- Data integration
- Infrastructure modernization
- Technical leadership
Areas of focus
Seven areas of focus across our three practices.
The readiness assessment sets direction, and the two Phase II practices deliver the change. Each area of focus sits inside one of them.
Phase II
Cloud & AI Modernization
Modernize SQL Server, Oracle, PostgreSQL, MySQL and NoSQL databases, data warehouses and data lakes into cloud-ready architectures.
See Phase II-
Azure Data Platform Architecture
Data platforms on Azure designed for security, cost and scale, from landing zones, identity and networking to Azure SQL, Azure Database for PostgreSQL and MySQL, Cosmos DB, lakehouse and analytics services.
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Enterprise Database Architecture
Architecture for large estates of SQL Server, Oracle, PostgreSQL, MySQL and NoSQL databases, data warehouses and data lakes, covering consolidation, upgrades, performance and licensing, and the move to the cloud when it makes sense.
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High Availability, Disaster Recovery, and Business Continuity
Availability and recovery designed to the recovery time and recovery point objectives (RTO and RPO) your business sets, across SQL Server, Oracle, PostgreSQL, MySQL and NoSQL databases, data warehouses and data lakes. Built with each platform’s native tools, such as Always On availability groups, Oracle Data Guard and geo-replication, and tested failover runbooks.
Phase II
Data Liberation & AI Enablement
Decouple data from applications so it can be governed once and reused everywhere.
See Phase II-
Enterprise Data Architecture and Modernization
An enterprise view of how data is organized, owned and served, centered on an application-independent data layer, with a practical path from today’s legacy estate to get there.
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Distributed Data Systems and Integration
Integration and replication that keep data consistent across many databases, sites and clouds, served through governed data products and APIs.
Hands-on services
Specific problems, solved directly.
Some problems can’t wait for a roadmap. Our team takes these on without an assessment first, and leaves you with documentation and runbooks your people can use.
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Performance tuning and troubleshooting
We find and fix slow queries, blocking and deadlocks, missing indexes and stale statistics, then plan capacity so the fix holds as you grow. Covers SQL Server, Oracle, PostgreSQL, MySQL and NoSQL databases, data warehouses and data lakes.
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High availability and disaster recovery
Failover and recovery for SQL Server, Oracle, PostgreSQL, MySQL and NoSQL databases, data warehouses and data lakes, using each platform’s native tools, such as Always On availability groups, Oracle Data Guard and replication. Set to your recovery time and recovery point objectives and proven with failover tests.
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Migrations and upgrades
Upgrades, consolidations and cloud moves for SQL Server, Oracle, PostgreSQL, MySQL and NoSQL databases, data warehouses and data lakes, planned for minimal downtime with a tested rollback. Built on more than 100 SQL Server migrations.
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Database security
Least-privilege access, encryption, auditing, patching and vulnerability fixes for SQL Server, Oracle, PostgreSQL, MySQL and NoSQL databases, data warehouses and data lakes, plus the evidence your auditors ask for.
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Data pipelines and workflows
ETL and ELT pipelines in SSIS, Azure Data Factory and Databricks, with scheduling, monitoring and error handling so data arrives on time and complete.
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Automation and DevOps
PowerShell, SQL and Python automation for maintenance, backups and deployments across your database platforms, CI/CD pipelines in GitHub, and infrastructure as code with Terraform.
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Reporting, analytics and data modeling
Data models, OLAP cubes and operational data stores, with SSRS and Power BI reports that run fast and agree with each other.
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Database administration and health checks
Health checks that find risks before they cause an outage, ongoing DBA support when your team needs more hands, and mentoring so your people can run it themselves.
Platforms and tools
From SQL Server and Oracle to NoSQL and data lakes.
The databases, pipelines and automation tools our team works with.
- Databases
- SQL Server 6.5–2022
- Azure SQL
- Oracle
- PostgreSQL
- MySQL
- Cosmos DB
- Cassandra
- MongoDB
- Data and analytics
- Azure Data Factory
- SSIS
- Databricks
- Data warehouses and ODS
- Data lakes
- Azure Blob Storage
- SSRS
- Power BI
- Automation and DevOps
- PowerShell
- GitHub
- CI/CD pipelines
- Terraform
- Agile delivery
- Languages
- SQL
- T-SQL
- Python
- JavaScript
Fractional services
Part-time work doesn’t need a full-time hire.
Our seasoned architects, DBAs and DevOps engineers monitor, manage and support your data platforms for a fraction of what a full-time employee costs.
Every retainer is custom fit to your environment and the support you need, at a reasonable cost.
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Fractional Architect
- Architecture direction and design reviews
- Roadmap ownership and technology decisions
- Guidance for your developers and engineers
- Platform and vendor evaluations
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Fractional DBA
- Monitoring, alerting and health checks
- Backups, restores and disaster recovery tests
- Patching, maintenance and upgrades
- Performance tuning and capacity planning
- Security and access reviews
Covers SQL Server, Azure SQL, Oracle, PostgreSQL, MySQL, Cosmos DB, Cassandra, MongoDB, Databricks, data warehouses and data lakes.
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Fractional DevOps
- CI/CD for database and pipeline changes
- Infrastructure as code with Terraform
- PowerShell automation for routine operations
- Release support and environment management
Architect roles
Need a senior architect on your team?
When you need a senior architect inside your team, we can step into these roles for a defined project, an interim period or a longer engagement.
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Principal Data Architect
Sets data architecture direction across the enterprise and guides teams through delivery.
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Enterprise Data Architect
Aligns data architecture with business strategy, standards and governance.
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Azure Data Architect
Designs and leads data platforms on Azure, from landing zones to analytics and AI.
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Data Platform Architect
Owns the design of the data platform across databases, integration, availability and scale.
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Cloud Solutions Architect
Designs cloud solutions and migrations that meet security, cost and reliability targets.
Get in touch
Start with where you stand.
Book a Data + Cloud + AI Readiness Assessment, or begin with a conversation about the decision in front of you.