Microsoft Azure Data Analytics Services
We design and run Azure data and analytics services i.e. Microsoft Fabric, OneLake, Synapse, Databricks, Power BI so you can achieve insights in real-time, data ready for AI, and true security. Whatever you want to achieve whether a governed lakehouse, improved reporting, or even Azure data analytics and AI integration services, we do it all on one platform.
What are Azure data analytics services?
At its core, Azure data analytics services is about creating a platform which will convert your data into action. In other words, it implies ETL/ELT operations, establishing the location of this data (warehouse or lakehouse), creating real-time and streaming analytics if necessary, covering it with Power BI, and, last but not least, feeding it into the machine learning models with help of specific services for data analytics and artificial intelligence integration provided by Azure.
Right now, most of these processes are performed via Microsoft Fabric and OneLake. With Fabric, Synapse, Data Factory, and Power BI are merged into one single SaaS platform which eliminates a lot of issues and simplifies many things. We use Microsoft Fabric, Synapse, Data Lake, and Azure ML to create a well-prepared data set from the unstructured enterprise data that you can use further and even convert to AI.
Why Azure for Data and AI?
The phrase “data is the new oil” is used frequently, but it’s not far from the truth, the amount of data we generate far outpaces our ability to use it effectively. Data sitting on disk isn’t valuable at all. It becomes valuable when it can be turned into a decision, and hopefully in near-real-time and with confidence that the decision is correct. This is what Azure was designed to do, and it’s the part we spend most of our time on. A few things that matter here:
Real-time insight
Leveraging your data in real-time as opposed to waiting for days for results, those forecasts that give you an edge over your competition who are still working on last week's data.
Fast, unified querying
Synapse and AI are part of Microsoft Fabric, hence there is no add-on for natural language queries or large-scale data analysis.
One place for every data type
Structured, semi-structured, unstructured documents, video, telemetry, whatever you've got unified instead of living in five different systems.
Predictive analytics built in
Azure ML is built on the same platform as your reporting; hence the forecasting will not be a stand-alone project.
Scale without the overhead
Pay-as-you-go computing power that scales to support your smallest workload through your biggest volumes of data.
A governed data lake
OneLake gives you one copy of the truth, centrally managed, instead of the usual sprawl of duplicated data.
Built on Microsoft Fabric & OneLake
Fabric from Microsoft is an integrated analytics platform, and truthfully, it is where this kind of analysis belongs now. Fabric integrates data integration, engineering, warehousing, real-time insights, data science, and Power BI into one lake when before you needed Synapse, Data Factory, and Power BI Premium separately.
OneLake — one copy of the truth
Workloads all use OneLake, managed via Microsoft Purview using one capacity model. No more moving data around in other tools just to make it go where it’s supposed to. Also, lower costs and fewer chances for data to get out of sync between systems.
Direct Lake performance
Power BI can access Delta-Parquet directly from OneLake at near-import speeds, with no refresh copies stored anywhere. Reports are lightning fast on large datasets and frequently changing data.
Real-Time Intelligence
Designed to ingest and process streams of data from IoT sources, telemetry, and transactional processes in order to provide operational reporting that is always up-to-date.
Copilot in Fabric & Power BI
Ask questions in plain English, get reports, DAX, and transformations created for you, as well as AI-generated summaries when you want the quick answer.
Azure data analytics services
Here’s the full range of what our data and analytics work cover, from first architecture decision to day-two operations:
Data strategy & architecture
Figuring out the right target architecture, whether that’s Fabric, Synapse, or Databricks, and a roadmap with real costs attached.
Data engineering (ETL/ELT)
Solid pipelines using Fabric Data Factory or Azure Data Factory, built on medallion (bronze/silver/gold) modeling.
Data warehouse & lakehouse
Fabric Warehouse/Lakehouse and Synapse, with dimensional models and semantic layers set up for real analysis.
Real-time & streaming
Fabric Real-Time Intelligence, Event Hubs/Event Stream, and Stream Analytics for anything that can’t wait for a batch job.
Interactive, self-service dashboards built on Direct Lake.
Advanced analytics & AI
Predictive models and generative AI, built on data that’s actually governed.
Data governance & security
Purview cataloguing, lineage tracking, sensitivity labels, and DSPM.
Migration & modernization
Bringing legacy warehouses and older big-data platforms onto Fabric. We assess what you have first, we don’t just rip and replace.
The Azure data & analytics stack
Layer
Technologies
Unified Platform
Microsoft Fabric, OneLake, Azure Synapse Analytics
Data Engineering & Integration
Fabric Data Factory, Azure Data Factory, Spark, dbt
Lakehouse & Big Data
Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2
Warehouse & Databases
Fabric Warehouse, Azure SQL, SQL Server, Cosmos DB
Real-time / Streaming
Fabric Real-Time Intelligence, Event Hubs, Stream Analytics
BI & Visualization
Power BI (Direct Lake), Copilot in Power BI
Advanced Analytics & AI
Azure Machine Learning, Azure AI / Azure OpenAI in Microsoft Foundry, Python
Governance & Security
Microsoft Purview, Entra ID, Key Vault, Private Link
Data governance & enterprise-grade security
Data governance becomes a key factor in analytics because the accuracy and integrity of the data are what matter. We incorporate governance in the analytics platform by design, not through reactionary measures after problems arise.
Catalogue & lineage
Microsoft Purview for cataloging, classifying, and lineaging data.
Security posture (DSPM)
Sensitivity labels and DSPM for AI so that the data is not accidentally overshared into the AI platform.
Access & identity
Entra ID, RBAC, row and object-level security, private networking, Key Vault.
Quality & reliability
Continuous testing and monitoring to make sure that people can trust their reports and models.
Residency & compliance
EU, UK, and US region coverage and EU Data Boundary where residency matters, handled with GDPR in mind.
Governed AI-ready data
Clean, modeled, and permission-aware data ready to be used for ML and RAG systems without extra rework.
Where we deliver data analytics
From data chaos to trusted decisions
Assess
Look at your data sources, use cases, and which platform actually fits, then put a real cost against a roadmap.
Build
Pipelines, lakehouse or warehouse, semantic models all on Fabric.
Govern & visualize
Purview governance, security, and Power BI dashboards that people will actually use.
Operate
Monitoring, cost control, and ongoing improvement, not a one-time handoff.
Why Work with PSSPL for Azure Data Analytics Services?
Plenty of companies can stand up a lakehouse. Fewer can make it governed, AI-ready, and something the business genuinely uses and back it with 25+ years in the Microsoft ecosystem. Here’s what we bring:
Microsoft Solutions Partner - Data & AI
Certified in both Data & AI and Digital & App Innovation. This isn’t a side practice for us, it’s daily work.
Fabric-first, built to age well
We build on Fabric and OneLake today, and modernize older Synapse or big-data setups onto it, so your platform keeps up rather than falling behind.
We build and govern
Purview governance, security, and residency get engineered in from day one the difference between a nice dashboard and a platform that actually passes an audit.
Data that's genuinely AI-ready
As a partner with Anthropic (Claude) and OpenAI, we model and govern data so it flows into Power BI, ML, and generative AI without extra rework later.
Accelerators that save real time
Reusable pipeline, medallion, and semantic-model templates get you to a working proof of value in weeks, not quarters.
Cost engineering, not just building
Right-sized Fabric capacity, Direct Lake, and lifecycle controls to keep your run-costs predictable.
Track record
1000+ projects, 250+ certified engineers, 98% on-time delivery, ISO 9001 and ISO/IEC 27001 certified, reviewed on Clutch and GoodFirms.
Senior delivery at a sensible cost
Global accountability, senior engineers, delivered cost-effectively from India.
Always-on, globally
Teams and clients across the US, UK, Germany, Australia, and India, with overlapping working hours.
Work with us the way that fits
Pick whatever fits where you’re at from a quick trial run to a full extended team.
Data proof-of-value sprint
A fixed 2 to 4 weeks sprint on Fabric that turns one real use case into a working dashboard or pipeline. Low risk, real proof before you commit further.
Co-innovation workshop
A structured session to shape your data strategy, target architecture, and roadmap. An actual plan you can take to budget, not a sales pitch dressed up as one.
Dedicated data pod
A ring-fenced team of data engineers, BI specialists, and analytics/ML folks running as your extended team.
Managed analytics (AaaS)
We run and evolve your Fabric platform ongoing monitoring, cost control, new use cases, support on a predictable subscription.
Fixed price or Time & Material
Fixed price when the scope is well-defined; Time & Material when the work is more agile and evolving.
Frequently Asked Questions
The two concepts do overlap, but there is a distinction in terms of focus. Azure Data and Analytics Services is a wider category that includes ingestion, warehousing, lakehouses, real-time pipelines, and business intelligence reporting. On the other hand, Azure Data Analytics and AI Integration Services deals with tying those governed data into machine learning and generative AI models, including Copilots, hence the same platform powering your dashboards and AI capabilities use cases without duplicating or re-engineering the data.
The Fabric is Microsoft’s SaaS analytics platform which unifies all aspects of data analytics from data integration, engineering, warehouse, real-time insights, data science, and Power BI under one lake (OneLake). In essence, it combines what Synapse, Data Factory, and Power BI Premium did individually before. For now, if you’re using Synapse workload, there is nothing to worry about since they will continue working perfectly, we adopt Fabric where it genuinely adds value, not just because it's newer.
OneLake is Fabric’s one and only data lake for the organization – a unified governance copy used by all workloads. With Direct Lake, Power BI can access Delta-Parquet data in OneLake without having to refresh copies.
That can be fine as it is. We've got your back with Synapse estate, as-is; upgrade to Fabric, if that works for you; migrate legacy big data estate to lakehouse if that becomes necessary after evaluation of your estate, but nothing more than that.
Through OneLake, clean pipes, semantic models, and quality control – it’s brought into a condition where it can truly serve Power BI, machine learning models, and RAG/generative AI use cases.
Microsoft Purview deals with catalog, data lineage, sensitivity labels, and DSPM. Access is controlled using Entra ID and RBAC. For protection of the infrastructure, Private networking and Key Vault are utilized. Row/Object level protection and auditing log cover everything else.
Absolutely – Fabric Real-Time Intelligence, Event Hubs/Event Stream, and Stream Analytics for Internet of Things, telemetry, fraud detection, and operational dashboards, among others.
Copilot in Fabric and Power BI allows for posing questions in natural language and generating reports, DAX code, and data transformations along with AI-powered insights. It requires a minimum Fabric capacity of F64 or above, and we support you in sizing and governance of the solution.
Time & Material, Fixed Price, or staff augmentation with a dedicated team whichever fits how you like to work.
26+ years as a Microsoft partner, a certified Solutions Partner for Data & AI and Digital & App Innovation, an ISO 9001 and ISO/IEC 27001 organization, rich experience of Azure and big data, association with Claude and OpenAI, and senior delivery at reasonable cost.