TOP 4 REASONS TO MIGRATE YOUR DATA ESTATE TO MICROSOFT FABRIC

Top 4 reasons to migrate your data estate to Microsoft Fabric

Top 4 reasons to migrate your data estate to Microsoft Fabric

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Despite many enterprises are moving to a data-driven culture, still some are lagging in this journey. Therefore, we need to find out what stops organizations to adopt AI data driven culture. There could be several challenges for organizations but two very common problems we found – data silos and missing proper analytics tools. 

Data Silos, stopping you to explore real potential of your data: 

Your data is scattered all over the place across platforms, making it difficult to integrate, access and analyse the data. The reason behind the scattered data ranges from cultural and geographical boundaries. Moreover, existing data infrastructure such as on-prem, cloud, and hybrid cloud can cause trouble for data integration.  These scattered data usually consume a lot of time. 

Missing adequate analytics solutions: 

With the availability of huge data sets scattered in various places, experts need proper analytics tools and solutions to integrate and analyse the data. To provide real-time analytics, proper analytics is very important. 

Here are top 4 reasons that enterprises should consider while migrating data estate to Fabric: 

Breaking Data Silos 

Fabric enables enterprises to access and integrate data coming from various sources with the help of its suite of tools, connectors and services. The Data Factory provides more than 150 connectors to several data sources and data flows.  

Centralized Access and Governance using OneLake 

Another important function of Fabric is to ensure that data is consistent across the platforms, secure and compliant to the standards. All data will be stored in unified cloud data lake, called OneLake. It allows users to enforce their usage policies, security parameters for data access and keeps data in one place.  

Pre-built Workloads for Everyone in the Data Ecosystem 

There are plenty of pre-built connectors and workloads for specific business needs. Here are some of the pre-built workloads that Fabric provides- Data factory, Warehouses, Power BI, Analytics, Synapse Data Engineering and more. Each of the pre-built workloads make the process simpler and faster.  

Save Costs and Optimize The Performances 

 When it comes to technology nothing works well until it keeps your costs under control and keep your process optimized. Microsoft Fabric enables enterprises to optimize their processes and keep their spending under control on data and AI process with the availability of multiple payment plan options -  Pay as you go and consumption based pricing.   

 

This is where Microsoft Fabric comes to rescue. 

Microsoft Fabric is a unified data platform that consolidates data and analytics tools and eliminates complexities in extracting actionable insights from your scattered business data. Whether it is data engineering, data analytics, data ingestion, or storage – Fabric brings everything under one roof. What about enterprises using individual tools for their data processes? Should they migrate to Fabric? Yes, most enterprises have already started their migration to Microsoft Fabric as it empowers their data ecosystem, unlocking better insights and efficiency. In this blog, we will discuss Microsoft Azure Synapse migration to Fabric scenario.  

Let’s start by understanding what Microsoft Fabric is and why it is important.  


  • An integrated data analytics platform that integrates various data tools such as Azure Data Factory, Synapse Analytics, Data Lake, Power BI, and more into one data environment. Here are some advantages of migrating to Microsoft Fabric  



  • Unified Data Experience: Consolidate different workloads and organize your workflows in one platform.  



  • Scalability: Empowers enterprises with scalability to scale up or down instantly without many efforts based on business requirements.  



  • Advanced Analytics: More advanced AI and ML features and tools to leverage for better insights.  



  • Cost Optimization: Helps simplify the management and licensing processes, leading to the optimization of the associated costs.  


 

 

Here are some components of Fabric that we need to understand: 

Storage Layer: 

OneLake, known as the storage layer in Microsoft Fabric, stores all workloads and stages. It is auto-provisioned to store data coming from various sources. Moreover, the auto-indexing feature enables enterprises to easily discover compliance and governance data. All tabular format data is stored in a common data format. 

Compute Layer: 

Compute engines like Spark, KQL, and SQL save their data in OneLake automatically because there is no import required for compute engines to access OneLake. 

Access Control: 

Based on the user’s permissions, membership is defined in four categories: Viewer, Contributor, Member, and admin. 

Before we start our migrations process of Azure Synapse Spark to Fabric, we need to ensure that Fabric Data Engineering is the best available solution for all the data workflow; it supports notebook, Spark job definitions, data pipelines, lakehouse, and other different Spark capabilities. 

Once you finalize Fabric Data Engineering as the choice for the migration process of your existing Azure Spark workloads, there could be various phases and scenarios of migration: 

Items: This scenario involves transferring one or multiple items or workloads from Azure Synapse to Fabric. 

Data and pipelines: Using OneLake shortcuts, you can build ADLS Gen2 data, which is available in Fabric Lakehouse. As its name suggests, it involves moving your pipelines to Fabric, including Spark job definition and notebook pipeline actions. 

Metadata: In this scenario, enterprises move Spark catalog Metadata, which includes partitions, tables, and datasets, from Hive MetaStore to Fabric Lakehouse. 

Workspace: You need to first create a new workspace in Microsoft Fabric and then migrate your existing Azure Synapse Workspace there, including Metadata 

Conclusion: 

Microsoft Fabric is a unified analytics platform that caters to all your analytics requirements. Enterprises can boost their analysis processes and deliver exceptional business results by migrating their existing workloads to Microsoft Fabric. However, thorough planning is required before implementing the migration process. If you are planning to migrate your data estate to Microsoft Fabric, let’s connect with the Migration experts from Saxon team. Being a certified Microsoft partner, we have expertise to help you migrate to Microsoft Fabric seamlessly. 

 

Here comes the importance of a certified Microsoft Fabric consulting service provider like Saxon AI. Migrating to Fabric could be a complex task, but not if you are connected with the experts. Let’s get started on your journey.  

 

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