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Layer 3 of 5, The Core

Database & Business Intelligence

Transactional and analytical data, tuned and turned into decisions.

Built for enterprise teams that need high-performance administration of transactional and analytical data.

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Power BI Model, Sales and Operations (Demo)

Interactive Demo Data

Revenue

$4.82M

Orders shipped

12,940

On-time delivery

96.4%

Gross margin

31.2%

Network uptime

99.98%

Each bar is one day. Short amber bars had a brief outage.

Database query optimization

42% faster

The 95th percentile query time, before and after tuning.

Revenue per day, $ thousands
Revenue by location Select a bar to filter
Revenue mix

    Top product lines

    Product LineRevenueMarginChange vs Prior

    Enterprise DBA Operations

    Day-to-day and deep-dive administration for Microsoft SQL Server, Oracle Database, MySQL and PostgreSQL: execution-plan analysis, index and statistics strategy, and high-availability clustering with tested failover. Tuning is measured against a baseline, so an improvement is a number rather than an opinion.

    • Query, index and statistics optimization
    • SQL Server Always On and Oracle Data Guard
    • MySQL Group Replication and PostgreSQL streaming replication
    • Backup, restore and failover testing
    • Microsoft SQL Server
    • Oracle Database
    • MySQL
    • PostgreSQL

    Data Warehousing

    Siloed application databases are consolidated into one governed warehouse: staged ingestion, conformed dimensions and normalized fact tables, so finance, operations and support answer the same question with the same number.

    • Dimensional (star schema) modeling
    • Incremental loads and change data capture
    • Automated data quality checks
    • Row-level security design

    Power BI Engineering

    Enterprise semantic models, ETL pipelines and executive dashboards built for refresh speed and governed access. Dataflows, incremental refresh and row-level security keep reports fast and keep every viewer inside their own slice of the data.

    • Star-schema semantic models
    • Power Query, dataflows and ETL pipelines
    • DAX measures and incremental refresh
    • Workspaces and row-level security

    Private AI on Your Own Servers

    Language and vision models run on GPU servers inside your own network, so documents, tickets and camera footage are never sent to a public service. Typical work is search and answers over your own files, ticket triage with drafted replies, and video analytics, each with access controls and logging.

    • GPU server sizing, installation and cooling
    • Local language models with document search
    • Ticket triage, summaries and drafted replies
    • Access controls, logging and data retention
    • Document search
    • Ticket triage
    • Video analytics