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Enterprise Data Services That Drive Decisions
From raw ingestion to real-time analytics, our enterprise data services on Azure are built to turn scattered data into a genuine competitive advantage, giving your business the unified, insight ready foundation it needs to move faster and decide smarter.
100+ enterprises trust Global Data 365
Your Data Fully Unified Always Insight-Ready
We architect, deploy and manage enterprise Microsoft Azure Cloud Services environments built to scale globally
Our certified specialists deliver outcomes, not just infrastructure.
Azure Synapse Link
for D365 F&O
Azure Synapse
Analytics
Azure Data
Factory
Azure SQL &
Managed Databases
Microsoft SQL
Services
Python
Services
Azure Synapse Link for D365 F&O
Getting live ERP data into your analytics layer without ETL delays or performance impact on Dynamics 365 is one of the most valuable things you can do for your reporting, and our Azure Synapse Link data services make it happen with zero-ETL integration, delta lake exports and near real-time sync that keeps your finance and operations data always analysis-ready.
Key Capabilities:
Explore Services →D365 Sync Health
Data Freshness 99%
Entity Coverage 94%
ERP Performance 100%
Sync Reliability 97%
Avg Sync Latency
<2
Near Real-time
Azure Synapse Analytics
When your business needs to query petabytes, run Spark jobs, and surface results in Power BI from a single workspace, our Azure Synapse data services deliver a unified analytics platform that brings together data warehousing, big data processing, and serverless SQL without the complexity of managing separate tools.
Key Capabilities:
Explore Services →Analytics Performance
Query Speed
10x ↑ vs on-prem
Data Scanned / Day
PB+ ↑ Elastic
Cost vs Legacy DW
-60% ↓ Savings
Azure Data Factory
Moving data reliably from 90+ sources into a single trusted destination is exactly what our Azure Data Factory data services are built for, handling pipeline orchestration, data flows, on-premises integration runtimes, and full monitoring so your ingestion layer runs clean, scheduled, and fully observable at all times.
Key Capabilities:
Explore Services →Infrastructure Health
• Ingest
Running• Transform
Running• Validate
Running• Load
RunningPipeline Success Rate
99.4% Performer
↑ Production Grade
Azure SQL & Managed Databases
Relational databases in the cloud should run themselves, and with our Azure SQL data services we deploy and optimise Azure SQL Database, SQL Managed Instances, and Elastic Pools with built-in high availability, auto-tuning, geo-replication, and advanced threat protection so your team never has to babysit a database again.
Key Capabilities:
Explore Services →Database Health
Query Performance 96%
Availability 99%
Security Score 94%
Auto-Tune Savings 82%
Overall DB Score
96/100
↑ Optimised
Microsoft SQL Services
Legacy SQL environments carry real risk when they are left unoptimised, which is why our Microsoft SQL data services cover everything from on-premises migrations and Always On availability groups to performance tuning, HA/DR strategy, and making sure your entire SQL estate is audit-ready and production-stable.
Key Capabilities:
Explore Services →SQL Estate Metrics
Query Improvement
3x ↑ After Tuning
Migrations Done
200+ ↑ Zero Downtime
HA Uptime
99.9% ↑ Always On
Python Services
When your data needs custom logic that no off-the-shelf tool can handle, our Python data services step in to build exactly what your pipeline requires, from Pandas-based transformations and PySpark jobs on Azure Synapse to Azure Functions, ML model deploymen and workflow automation tailored to your data architecture.
Key Capabilities:
Explore Services →Sample Pipeline
import pandas as pd
from azure.synapse import SparkSession
# Load D365 delta table
df = spark.read.format("delta")\
.load("abfss://d365/sales")
# Transform & aggregate
res = df.groupBy("region")\
.agg("revenue": "sum")
# Write to SQL pool
res.write.synapsesql(
"dw.sales_summary"
)
from azure.synapse import SparkSession
# Load D365 delta table
df = spark.read.format("delta")\
.load("abfss://d365/sales")
# Transform & aggregate
res = df.groupBy("region")\
.agg("revenue": "sum")
# Write to SQL pool
res.write.synapsesql(
"dw.sales_summary"
)
Not Sure How to Unlock Your Data's Full Potential?
Our data architects run a no-cost assessment of your current data landscape identifying bottlenecks, integration gaps and analytics quick wins for you.
Data Expertise Backed by Real Results
From architecture to day-2 operations every data engagement is led by certified Microsoft
specialists who bring enterprise discipline and global delivery experience.
End-to-End Data Ownership
We own the full data journey — ingestion, transformation, modelling, and visualization so nothing falls between the cracks.
Real-Time & Batch Ready
Whether you need sub-minute streaming or daily batch jobs, we architect pipelines that match your business cadence exactly.
D365 Deep Specialists
Rare expertise at the intersection of Dynamics 365 F&O and Azure data, we know exactly how to unlock your ERP data without disrupting
operations.
Governance & Compliance
Every data platform we build includes data governance, lineage tracking, role-based access, and compliance controls from day one.
Cost-Optimised Architecture
We design for scale without waste — serverless where possible, reserved capacity where it counts, and continuous cost monitoring built in.
Ongoing Managed Support
24/7 pipeline monitoring, incident response, and proactive tuning — from go-live through long-term platform evolution.
Ready to Build with Data Services
That Actually Delivers?
Join enterprise organisations across the globe that trust Global Data 365 to architect, manage, and evolve their Azure data platforms.
Frequently Asked Questions(FAQs)
Microsoft Azure data services include tools like Azure Data Factory, Azure Synapse Analytics and Azure SQL Database that help businesses manage, integrate, and analyze data at scale. Although there are many more Azure cloud Services each for different business operations and purposes.
Azure Synapse Link enables near real-time data replication from Dynamics 365 Finance and Operations to Azure Synapse Analytics without impacting system performance.
Azure Synapse Analytics is used for enterprise data warehousing, big data analytics, and business intelligence integration.
Azure Synapse Analytics is used for enterprise data warehousing, big data analytics, and business intelligence integration.
SQL Database is a traditional database system that is usually installed and managed on your own servers, which means your team handles setup, maintenance, backups and security. Azure SQL Database is Microsoft’s cloud-based managed version hosted on Azure, where Microsoft takes care of updates, backups, scaling and infrastructure management. In simple terms, SQL Database gives you more control, while Azure SQL offers more flexibility, scalability and less maintenance effort.
Services like Azure SQL Managed Instance provide automated backups, scaling, and maintenance, reducing operational overhead.
Python data services include data analysis, automation, and machine learning workflows used for advanced analytics and custom data processing.
Yes, Python can be integrated with platforms like Azure Synapse Analytics to enable advanced analytics, predictive modeling and data transformation.
