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BI & Data Technologies

Turn scattered data into decisions your business can act on.

Warehousing, engineering, analytics and reporting — we build the data platform that fits how your business actually runs.

WHAT WE COVER

Warehousing, engineering & real-time analytics

HOW WE HELP

Architecture, migration and hands-on training

WHY PERDATA

Two decades delivering data platforms that stick

Explore the BI & Data technologies we work with 

From ingestion to insight — pick the layer you need help with. 

Microsoft Fabric

Unified Data Platform

Warehousing, engineering, real-time analytics and BI on a single platform — one copy of data, everywhere it's needed.

Lakehouse Real-Time Analytics BI
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Azure Data Factory

Enterprise Data Integration

Orchestrate complex data workflows across hybrid environments with robust ETL/ELT pipelines that connect your entire data ecosystem.

Data Pipelines Dataflows Hybrid Integration
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Databricks

Unified Analytics & AI Platform

Engineer, train and deploy at scale on a single lakehouse platform — built for teams who need serious compute behind their data science and ML workloads.

Lakehouse Delta Live Tables MLflow
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Power BI

Business Intelligence & Reporting

Turn raw numbers into decisions your whole business can see — governed dashboards, self-service reporting and enterprise-grade row-level security.

Dashboards DAX Modelling Row-Level Security
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Microsoft Fabric

Every thread of your data, woven into one platform

Fabric brings warehousing, engineering, real-time analytics and BI together in a single SaaS platform — one copy of data, shared on OneLake, instead of five disconnected tools each holding their own copy.

Unified

Warehouse, lakehouse and real-time analytics all sit on one shared OneLake — no more moving or duplicating data between tools.

Elastic

Capacity scales with your business rhythms — pause and resume for cost efficiency, and pay only for what you use.

AI-ready

Built-in Copilot and machine learning turn complex, streaming datasets into answers without a separate AI platform.

Data made sharable.

  • Rapidly usable data insights on demand
  • Scale and secure your data warehousing
  • Streamline diverse data sources rapidly
  • Leverage AI & machine learning models
  • Seamlessly collaborate using data lakes
  • Share workspaces for collaboration

    • Data made intelligible.

  • Deep analysis of large, complex datasets
  • Rapid analysis of streaming datasets
  • Orchestrate and automate workflows
  • Automated data cleansing intelligence
  • Server-less, pay-as-you-query model
  • Pattern recognition to automate insights
  • Temporal queries for data ‘time-travel’

    • Data made scalable.

  • Save on costs with on-demand resources
  • Scale elastically with business rhythms
  • Pause and resume for cost efficiencies
  • Transform workflows by integrating data
  • Flexibly explore without constraint
  • Optimise query performance with AI

    • Where data meets intel, driving scalable, secure, and agile business solutions 

    Rod Doyle | PerData

    Azure Data Factory

    Orchestrate every data pipeline from one control plane

    ADF connects and moves data across cloud and on-premises sources with visual, low-code pipelines — built for teams who need robust ETL/ELT without hand-coding every transformation.

    Hybrid

    Connect cloud, on-premises and SaaS data sources through 90+ built-in connectors.

    Visual

    Design pipelines with a drag-and-drop canvas, with custom code available when you genuinely need it.

    Monitored

    Built-in monitoring and alerting catch a failed pipeline before it becomes a bad report.

    Data made usable.

  • Automate data movement across sources
  • Hybrid cloud-based and local datasets
  • Efficiently cleanse and transform data
  • Real-time data insights and analytics
  • Visual design tools for ETL processes
  • Integration runtimes for strong flexibility

    • Data made scalable.

  • Server-less resources to scale computing
  • Scale structured and unstructured data
  • Apache Spark for large-scale processing
  • Data partitioning for parallel processing
  • Data compression reduces storage costs
  • Monitor and optimise data for economy

    • Data made manageable.

  • Real-time data monitoring and alerts
  • Data QA through cleansing & validation
  • Robust security & compliance protocols
  • Metadata tracking & audit management
  • Version management for pipelines
  • Service health and disruption alerts

    • Azure Data Factory brilliantly orchestrates complex data workflows 

    Francois LeRoux | PerData

    Databricks

    Serious compute behind your data science and AI

    Databricks gives data engineering and data science teams a single lakehouse platform to build, train and deploy — from batch ETL to production machine learning, without stitching together separate tools.

    Lakehouse

    One platform for data engineering, SQL analytics and machine learning — no separate warehouse and ML stack to maintain.

    Collaborative

    Notebooks that data engineers, analysts and data scientists can all work in together, in the language they already use.

    Production-ready

    MLflow and Delta Live Tables take models and pipelines from experiment to production reliably.

    Data made visualisable.

  • Unified analytics with machine learning
  • Team data exploration with collaboration
  • Scalable data processing and analytics
  • Streamlined machine learning process
  • Comprehensive data discovery toolsets
  • Machine learning algorithm libraries

    • Data made integratable.

  • SQL, Python and Scala supported
  • Seamless data importing and exporting
  • Interactive data visualisation dashboards
  • Collaborative Jupyter notebooks
  • Ad-hoc inline code and graph analysis
  • Robust regulatory standards compliance

    • Data made scalable.

  • Server-less computing reduces costs
  • Flexibly scale resources up or down
  • Utilises BLOB storage for efficiency
  • Cluster automation optimises resources
  • Efficient, distributed computing power
  • Fault tolerance redundancy across nodes

    • Power BI

    Reporting your business actually uses

    Power BI turns raw data into dashboards your teams check every day — governed, secure, and connected directly to the platforms you already run, from Fabric to on-premises databases.

    Self-service

    Business users build their own reports without waiting on IT, within guardrails you control.

    Governed

    Row-level security and sensitivity labels keep the right data in front of the right people.

    Connected

    Direct, live connections to Fabric, Azure and hundreds of other data sources — no manual exports.

    Data made usable.

  • Act with conviction on trusted data
  • Comprehensively integrate all data
  • Dynamic dashboards for data display
  • Share and collaborate on data in teams
  • Use machine learning and AI insights
  • Save time on excessive data collation

    • Users made powerful.

  • Transform complex data into visual intel
  • Intuitive drag-and-drop interface
  • Natural language queries integrated
  • Users directly access meaningful data
  • Avoid needing IT specialists for reports
  • Rapid reporting for fast decision-making

    • Expansion made possible.

  • Part of the Microsoft fabric in the cloud
  • Architected for wide & easy integration
  • Universal support reduces ‘key-man’ risk
  • Predictably low and scaling license costs
  • Upgrades seamlessly, with no outages
  • Abundant training for user ‘hypercare’