Chapters
What are the key advantages of adopting Microsoft Fabric for data management and analytics compared to other platforms?
How can Microsoft Fabric help organisations streamline their data processes and derive actionable insights more efficiently?
How does Microsoft Fabric integrate with existing data infrastructure and tools?
How can AI capabilities within Microsoft Fabric enhance data analytics and decision-making?
What security measures are in place to protect sensitive business data within Microsoft Fabric?
How are different sectors leveraging Microsoft Fabric for advanced analytics – what are some of the successful uses cases for education and local government, for example?
Seven ways Microsoft Fabric simplifies data management and analytics

Q&A: How to use MS fabric to get more from your data

App Data and Analytics GM Andrew Fong and Practice Manager Sunil KS

In this Q&A with Datacom’s App Data and Analytics GM Andrew Fong and Practice Manager Sunil KS outline how Microsoft Fabric – a unified, cloud-based data platform – can help transform raw data into actionable insights. 

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What are the key advantages of adopting Microsoft Fabric for data management and analytics compared to other platforms?

Fabric represents a significant advancement in Microsoft's data and analytics offerings. Fabric is an all-in-one analytics software as a service (SaaS) solution for enterprises that covers everything from data movement to data science, real-time analytics and business intelligence. It offers a comprehensive suite of services that eliminate the need for multiple vendors or complex tech stacks, simplifying data management and analytics processes.

How can Microsoft Fabric help organisations streamline their data processes and derive actionable insights more efficiently?

Having a single unified analytics platform is the key to Fabric’s promise to provide an end-to-end analytics solution that integrates various components into a cohesive stack. This integration eliminates the need for multiple tools, simplifies data management and analytics processes, all of which contributes to an efficient best in class experience.

Microsoft Fabric helps organisations streamline their data processes and derive actionable insights more efficiently through several key features and capabilities:

Automated data ingestion and transformation

Fabric's Dataflow Gen2 enables users to automate data ingestion and transformation workflows, keeping data consistently updated and AI ready. This automation reduces manual intervention and ensures data is always up to date for real-time analysis.

Streamlined complex workflows

The Fabric Pipeline feature allows organisations to design and automate complex ETL (Extract, Transform, Load) processes within a single platform. This streamlines data movements across various stages of processing, reduces manual intervention and ensuring data consistency.

Real-time analytics

Fabric empowers users to access, analyse, and visualise data in real-time without compromising performance or scalability. This capability enables faster and more accurate insights, allowing organisations to make timely decisions based on the most current data.

Advanced analytics and AI integration

The platform incorporates advanced analytics capabilities, including AI and machine learning, to uncover hidden patterns and insights from data. This integration allows organisations to leverage predictive analytics and AI-driven decision-making tools seamlessly.

Self-service analytics

Fabric empowers users across the organisation with self-service analytics tools that are easy to use and understand. This democratisation of data analysis can help foster a data-driven culture and enables more informed decision-making at all levels.

Simplified data access

Through features like shortcuts and data mirroring, Fabric simplifies access to data from various sources. This approach reduces data duplication, minimises latency, and optimises resource utilisation.

Enhanced data governance and security

Fabric provides advanced encryption, compliance features, and role-based access controls, ensuring data security and governance across all analytics experiences.

How does Microsoft Fabric integrate with existing data infrastructure and tools?

Microsoft Fabric offers comprehensive integration capabilities with existing data infrastructure and tools, enabling organisations to leverage their current investments while benefiting from Fabric's advanced features.

Fabric integrates natively with Microsoft 365, Azure, and Power BI, providing a unified experience for users already familiar with these tools. This integration allows for smooth data flow and analytics across the Microsoft ecosystem.

The Microsoft Fabric data factory offers hybrid and multi-cloud connectivity, allowing organisations to integrate data from on-premises systems, connect to cloud services like AWS and Google Cloud, and create a unified data platform for comprehensive analytics. This extensive connectivity ensures that organisations can ingest data from their existing infrastructure without significant modifications.

Fabric is designed to work seamlessly with various third-party applications, ensuring compatibility with existing workflows and tools. This flexibility allows organisations to maintain their preferred tools while leveraging Fabric's capabilities.

OneLake, Fabric's unified data lake, allows organisations to retain data in its original location while using preferred analytics tools. The data mirroring feature enables seamless access to any database or warehouse within Fabric's ecosystem, eliminating the need for data duplication. OneLake has been described as “Onedrive for all your analytics data”.

Another major compatibility features is the “SQL analytics endpoint”. Each Lakehouse in Fabric has a built-in Tabular Data Stream (TDS) endpoint called the SQL analytics endpoint, which provides easy connectivity and querying of data from other reporting tools. This feature ensures compatibility with existing SQL-based tools and processes.

Finally, Fabric's Shortcut feature allows users to connect to existing data without copying or moving it, facilitating integration with current data storage solutions.

 

How can AI capabilities within Microsoft Fabric enhance data analytics and decision-making?

As with most Microsoft products today, Fabric is infused with AI to boost productivity and democratise access to the latest technology. There are Copilots for each experience within Fabric allowing experts to achieve more and citizen analysts to harness the full analytics potential of the Fabric platform. Here are a handful of ways AI capabilities are helping users get more out of Fabric:

Natural language interactions

Copilot in Microsoft Fabric allows users to interact with data using natural language queries, making data exploration more accessible to non-technical users. This feature enables the creation of dataflows, pipelines, and SQL statements using conversational language, streamlining the data preparation process.

Automated insights

AI algorithms automatically generate insights and narrative summaries from complex datasets, saving time and providing clear, actionable information. Predictive analytics capabilities help forecast future trends and outcomes, supporting proactive decision-making.

Enhanced visualisation

AI assists in creating impactful reports and visualisations quickly, making data more comprehensible and actionable for business users.

Intelligent data integration

AI-powered tools help in data cleaning, enrichment, and integration, ensuring high-quality data for analysis. This improves the overall reliability of insights derived from the data.

Real-time intelligence

The “Real-Time Intelligence” feature in Fabric offers an end-to-end experience for handling streaming data, enabling dynamic data transformation, real-time queries, and immediate action without needing to pre-load data.

AI model integration

Fabric simplifies the process of building and deploying AI models, making advanced analytics more accessible to a wider range of users. This integration allows organisations to leverage sophisticated AI models directly within their data workflows.

What security measures are in place to protect sensitive business data within Microsoft Fabric?

As you would expect with a true SaaS offering, Microsoft Fabric implements several robust security measures to protect sensitive business data.

Encryption and network security

  • All data at rest is encrypted using Microsoft-managed keys.
  • Data in transit is encrypted with at least TLS 1.2, with negotiation to TLS 1.3 when possible.
  • Network traffic between Microsoft services routes over the secure Microsoft global network.

Authentication and access control

  • Every interaction with Fabric is authenticated using Microsoft Entra ID3.
  • Workspace roles and item permissions provide coarse-grained access control.
  • Granular security options include object-level, column-level, and row-level security controls.

Advanced data protection

  • Sensitivity labels from Microsoft Purview Information Protection can be applied to classify and protect sensitive data.
  • Labels automatically follow data as it flows through Fabric, even when exported to supported formats.
  • Dynamic data masking prevents unauthorised viewing of sensitive information.

Network isolation

  • Fabric Private Links allow secure access to resources from selected virtual networks without traversing the public internet.
  • Trusted Workspace Access simplifies connectivity to firewall-protected Azure storage and services.
  • Managed Private Endpoints provide secure connectivity to data sources behind firewalls.

Compliance and governance

  • Fabric supports data sovereignty with multi-geo capacities and a wide range of compliance standards.
  • Microsoft Purview integration enables data governance, including data lineage and data loss prevention.

Purview Audit captures audit trails on activities performed in Fabric for monitoring and compliance.

How are different sectors leveraging Microsoft Fabric for advanced analytics – what are some of the successful uses cases for education and local government, for example?

Education

A major private education institute in Brisbane, Queensland piloted Microsoft Fabric to transform their student data management. The benefits included:

  • Enhanced data quality and visibility by integrating with Microsoft Purview
  • Improved student engagement through analysis of survey interaction data
  • Development of interactive dashboards for holistic student trend analysis

Using Fabric's advanced analytics capabilities, they plan to:

  • Identify students at risk of falling behind early by leveraging predictive models.
  • Predict future performance based on historical data to inform educational strategies.
  • Tailor interventions and support strategies for individual students, ensuring personalized support to enhance student success.

Local Government

A local council in the South Island of New Zealand implemented Microsoft Fabric to power a step change in their customer’s experience when dealing with council operations and to provide robust data governance over their customer data management.

The benefits to date have included:

  • Enhanced data quality and visibility by integrating with Microsoft Purview
  • Improved customer engagement using high quality, consistent data
  • Facilitated the migration to a new CRM platform using a true single view of customer data.
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Seven ways Microsoft Fabric simplifies data management and analytics

Microsoft Fabric offers several key advantages for data management and analytics compared to other platforms. Cost, ease of use, scalability and – critically – advanced data analytics capabilities make Microsoft Fabric a good choice for organisations wanting to get more from their data.

Scalability and performance

The platform is designed to handle varying workloads and large data volumes efficiently, ensuring optimal performance even during peak operations. It can scale to meet the needs of both small organisation and large enterprises

Advanced analytics capabilities

Fabric incorporates advanced data science tools, AI integration, and real-time analytics, enabling organisations to derive predictive insights and make data-driven decisions quickly.

Unified data lake

OneLake, the foundation of Microsoft Fabric, allows organisations to retain data in its original location while using preferred analytics tools, providing flexibility and efficiency.

User-friendly experience

The platform offers a simplified, user-friendly interface with familiar and easy-to-learn shared experiences, fostering collaboration across teams.

Cost-effective solution

By consolidating multiple tools into a single platform, Fabric can potentially reduce costs associated with managing separate systems and licenses.

Enhanced security and governance

Fabric provides advanced encryption, compliance features, and role-based access controls, along with centralised administration and governance across all analytics experiences.

Seamless Microsoft ecosystem integration

The platform integrates natively with other Microsoft tools like Power BI, facilitating a smooth workflow for organisations already using Microsoft products (Ex: Microsoft Purview for Governance and Security).