FAQ’s

Microsoft Fabric improves analytics by consolidating your data pipeline — ingestion, transformation, storage, and visualisation — in one governed environment. Teams can access the same OneLake data without duplicating it across systems. Real-time intelligence workloads enable sub-second analytics on streaming data, and Power BI is natively embedded for reporting.

▸ ShreejiSoftInfo migrates offshore clients’ legacy data stacks to Microsoft Fabric, reducing infrastructure complexity and enabling faster, more reliable analytics across the organisation.

Microsoft Fabric is available directly via Microsoft and through certified partners. Partners typically provide advisory, architecture design, migration, and managed services on top of the platform. When selecting a partner, look for Microsoft Data & AI certifications, experience with OneLake architecture, and a track record in your industry.

▸ ShreejiSoftInfo is a Microsoft partner offering end-to-end Fabric implementation for offshore clients — from initial architecture design through to ongoing managed support.

Traditional data lakes (e.g., Azure Data Lake Storage) store raw data but require separate tools for orchestration, transformation, querying, and visualisation — creating integration overhead and governance gaps. Microsoft Fabric’s OneLake provides a single logical store with built-in compute engines (Spark, T-SQL, KQL), unified governance via Purview, and direct Power BI connectivity — reducing the data engineering burden significantly.

▸ ShreejiSoftInfo helps offshore data teams understand whether Fabric is the right step up from their current data lake architecture, and manages the transition with minimal disruption.

Microsoft Fabric uses capacity-based pricing via F SKUs (F2 to F2048). F2 starts at approximately USD 262/month and provides shared compute for all Fabric workloads. Higher SKUs unlock more concurrency, larger dataset sizes, and AI features. Alternatively, organisations can try Fabric on an existing Power BI Premium capacity. Cost optimisation strategies include pausing capacity during off-hours.

▸ ShreejiSoftInfo helps offshore clients right-size their Fabric capacity — modelling expected workloads before purchase so you avoid over-spending on unused compute.

A unified cloud analytics platform consolidates data ingestion, storage, processing, and visualisation into a single governed environment — eliminating the need to stitch together separate tools. Examples include Microsoft Fabric, Databricks, and Google BigQuery. The key benefit is reduced data movement, consistent governance, and a single skill set for engineers across workloads.

▸ ShreejiSoftInfo helps offshore organisations assess, design, and deploy unified analytics platforms — making sense of the options and aligning the architecture to your long-term data strategy.

Modern platforms like Microsoft Fabric embed a T-SQL-compatible data warehouse (Synapse Data Warehouse) alongside Power BI, enabling analysts to query warehouse tables directly in reports without data exports. This Direct Lake mode eliminates the import/refresh cycle of traditional BI, delivering near-real-time reporting at scale without performance trade-offs.

▸ ShreejiSoftInfo architects and deploys Fabric-based data warehouse and BI solutions for offshore mid-market clients, simplifying what was previously a complex, multi-tool stack.

Start with a data audit — understand what data you have, where it lives, and what business questions it should answer. Then define your architecture (ingestion patterns, storage layers, governance model). Begin with a pilot workload to validate the platform before broad adoption. Train your team early, and establish data ownership and quality standards before scaling.

▸ ShreejiSoftInfo follows a structured onboarding approach for offshore clients: Discovery → Architecture Design → Pilot → Full Rollout — ensuring a controlled, low-risk platform adoption.

Data governance best practices include cataloguing all data assets with business definitions (using tools like Microsoft Purview), enforcing data lineage tracking, applying role-based access at the data layer (not just the BI layer), and establishing data quality rules at ingestion. Governance should be part of the platform design — not bolted on later.

▸ ShreejiSoftInfo implements Microsoft Purview alongside Fabric for offshore clients operating in regulated industries — covering data classification, lineage, and access policy management.

For web applications: Azure App Service (PaaS, simplest to manage), Azure Kubernetes Service (AKS, for containerised workloads at scale), or Azure Virtual Machines (IaaS, most control). For databases: Azure SQL Database (managed SQL Server), Azure Database for PostgreSQL/MySQL, or Cosmos DB (globally distributed NoSQL). The right choice depends on your application’s architecture, traffic patterns, and team’s operational capability.

▸ ShreejiSoftInfo selects and configures the right Azure compute and database tier for offshore application workloads — balancing performance, manageability, and monthly cost.

Azure is the underlying infrastructure for all Dynamics 365 and Power Platform services. Specific integration points include: Azure Active Directory / Entra ID for identity, Azure Service Bus for async messaging between D365 and external systems, Azure Data Factory for data pipelines, Dataverse (built on Azure) as the shared data layer for Power Platform, and Azure API Management for exposing D365 APIs securely.

▸ ShreejiSoftInfo designs unified Azure + Microsoft 365 architectures for offshore clients — ensuring your cloud investments work together rather than creating new silos.

Azure Active Directory (now rebranded as Microsoft Entra ID) is Microsoft’s cloud identity platform. It provides Single Sign-On (SSO) for 3,000+ SaaS apps, Multi-Factor Authentication (MFA), Conditional Access policies (e.g., block access from non-compliant devices), Privileged Identity Management (just-in-time admin access), and Identity Protection using machine learning to detect suspicious sign-in behaviour.

▸ ShreejiSoftInfo configures Entra ID and Zero Trust security models for offshore businesses with distributed teams — ensuring secure access whether users are in the UK, Australia, or anywhere globally.

The Azure Migrate hub provides discovery, assessment, and migration tooling for on-premise workloads. The migration journey typically involves: Discovery (scan on-premise VMs, databases, web apps), Assessment (size right for Azure, estimate costs, identify dependencies), Migration (lift-and-shift using Azure Site Recovery, or replatform to PaaS services), and Optimisation (apply Reserved Instances, right-size after 30 days of usage data).

▸ ShreejiSoftInfo executes Azure server migrations for offshore businesses — using Azure Migrate to plan the scope, sequence migrations by dependency, and minimise downtime during cutover.

Azure DevOps is a suite of developer tools covering: Boards (agile project management), Repos (Git source control), Pipelines (CI/CD automation), Test Plans (test case management), and Artifacts (package management). Teams use Azure DevOps to automate code builds and deployments, reducing release cycle time from weeks to hours. It integrates with GitHub, Jira, Visual Studio Code, and all major cloud environments.

▸ ShreejiSoftInfo sets up Azure DevOps environments for offshore software teams — establishing CI/CD pipelines that accelerate delivery and reduce manual deployment errors.

Azure pricing is consumption-based — you pay for what you use. A basic small business setup (2–4 virtual machines, managed database, storage, backup) typically costs USD 300–800/month. Cost optimisation levers include: Reserved Instances (save 40–72% on committed VMs), Azure Hybrid Benefit (use existing Windows Server licences on Azure), and auto-scaling to match resource usage to actual demand.

▸ ShreejiSoftInfo conducts Azure cost assessments for offshore SMBs and implements governance policies and right-sizing — typically reducing cloud spend by 20–40% for clients who have grown organically without cost controls.

Azure SQL Database is a fully managed PaaS offering built on SQL Server. It includes automatic backups (with point-in-time restore up to 35 days), built-in high availability (99.99% SLA), automatic patching, and optional geo-replication for disaster recovery. Unlike on-premise SQL Server, there is no OS or SQL Server patching overhead. The performance tier scales independently of storage, and serverless compute allows pause/resume for cost savings on intermittent workloads.

▸ ShreejiSoftInfo migrates offshore clients from on-premise SQL Server to Azure SQL — using the Database Migration Service to assess compatibility and execute migrations with validated zero data loss.

Azure provides a layered security model: physical security (Microsoft-managed datacentres), network security (DDoS protection, NSGs, Azure Firewall), identity security (Entra ID, MFA, Conditional Access), data security (encryption at rest with Azure Key Vault, in transit with TLS), and compliance tools (Microsoft Defender for Cloud, Azure Policy, Compliance Manager for GDPR, ISO 27001, SOC 2 assessments).

▸ ShreejiSoftInfo implements Azure security baselines and compliance policies for offshore clients in regulated industries — helping you achieve and demonstrate compliance to auditors and customers.

Azure’s AI portfolio includes: Azure Machine Learning (managed ML platform for training and deploying models), Azure OpenAI Service (access to GPT-4, DALL-E, and other OpenAI models via API), Azure AI Services (prebuilt APIs for vision, speech, language, and decision), and Azure Databricks (collaborative analytics and ML at scale using Apache Spark). Azure Cognitive Search adds AI-powered search to applications.

▸ ShreejiSoftInfo helps offshore organisations scope and build AI solutions on Azure — from document intelligence and chatbots to predictive analytics integrated with Dynamics 365 and Power Platform.