Microsoft Fabric Readiness for Data Modernization | March Good Bits

In today's data-driven world, organizations are struggling to manage and utilize their ever-growing data. Data often is siloed in the organization and legacy data systems hinder agility and limit the ability to leverage Artificial Intelligence (AI). 

Modernizing data in a platform like Microsoft Fabric enables you to enhance your data management practices and get more value out of your information. A recent study in the Harvard Business Review revealed that 72% of organizations providing their team members with self-service tools and embedded analytics saw a significant increase in productivity.

Bitwise is well-equipped with ETL and Data Modernization capabilities to assist organizations that are eyeing Fabric as a potential platform to deliver self-service analytics and AI use cases for faster innovation.

ETL Migration to Microsoft Fabric – What are the Options?

Microsoft Fabric is a unified data analytics platform designed to streamline your data journey that acts as a central hub and integrates various Azure data and analytics services like Azure Data Factory, Azure Synapse Analytics, and Power BI. Businesses can modernize their data stack with MS Fabric as a part of the data warehouse modernization strategy to unify data, automate management and leverage advanced analytics.

Planning a migration of your legacy data warehouse to Fabric can be a good strategy to get more value from your data, but knowing the best options for modernizing your ETL workflows and stored procedures can be tricky. This is where Bitwise can help decide the right target(s) and accelerate migration with our ETL Modernization Practice. 

Microsoft offers a number of target ETL options to consider, including Azure Data Factory, Microsoft Fabric Notebooks with PySpark, Microsoft Fabric Spark Job Definition, Azure Synapse Notebooks with PySpark, Azure Databricks and Fabric Dataflows Gen 2.

Microsoft Fabric ETL Migration Readiness

Bitwise works closely with the Azure Data Factory and Microsoft Fabric product teams to ensure that our automated ETL migration tool covers the latest features and functionalities to efficiently map workflows from legacy ETL in SSIS, DataStage, Informatica, Ab Initio or SQL stored procedures. For example, Bitwise helped a multinational manufacturer accelerate its migration of SSIS to Azure Data Factory.

Deciding which option to migrate to depends on a number of factors, with a big consideration being whether your teams are comfortable using programmatic coding like PySpark with Databricks or Fabric Notebooks or if you prefer a GUI-based ETL tool like Azure Data Factory or Fabric Dataflows Gen 2.

As Microsoft Fabric is still fairly new in the market, some features are still pending from Microsoft. For those features that are available, Bitwise is ready to migrate your on-premise ETL to Fabric with maximum efficiency. Depending on your migration roadmap, pending features can be covered at a later time or migrated to PySpark for a short-term solution.

Microsoft Solutions Partner  

Learn more how Bitwise and Microsoft work together to accelerate modernization of ETL jobs in the cloud to help our customers reduce costs, increase efficiency, achieve faster time to insights, improve agility and scalability, and facilitate data-driven decision making.

Stay safe and talk to you soon, 

Bitwise Newsletter Team