Issue link: https://insights.oneneck.com/i/1519582
Azure Synapse Analytics Use Cases Azure Synapse Analytics has been pivotal in addressing a variety of business and technical challenges for numerous organizations. Examining specific use cases helps convey the transformative impact Synapse has had across different industries. Transitioning from Legacy Systems One notable scenario involved an organization struggling with an outdated i-series IBM mainframe DB2. The primary challenge was the cost and complexity of maintaining this older technology. The solution was to transition their database system to a more modern, cloud-based service, specifically Azure SQL Managed Instance, facilitated by Azure Synapse and Data Factory. This move allowed the organization to decommission the costly and outdated hardware and data center, significantly reducing their operational expenses and eliminating technical debt. Additionally, the transition to Azure enabled the company to leverage cloud scalability and flexibility, improving its data management capabilities. Enhancing Data Utilization Once in the cloud, the organization sought to further leverage its data for strategic insights. Using Azure Synapse, they could extract relevant data from their relational database into a data lake, then apply data engineering with Spary and utilize Azure Machine Learning to gain deeper insights. This advanced data processing and analytics capability, which was not feasible with their previous system, enabled them to make data-driven decisions and uncover new opportunities for growth and efficiency. Breaking Down Data Silos Another common use case for Synapse is its ability to break down data silos within organizations, particularly those in the mid-market segment with disparate data systems. For instance, companies often have isolated pockets of data, such as ERP data, scattered across various platforms. Synapse allows for the consolidation of this data, providing a unified view and enabling comprehensive analytics. This integration facilitates more informed decision-making by providing a holistic view of business operations and customer interactions. Migrating from Other Analytics Platforms A particularly interesting case involved a company seeking to transition from AWS Databricks to Azure due to the departure of their Databricks expert. The company opted for Synapse for its integrated analytics capabilities, finding it to be a more suitable platform for their needs. This decision was driven by the need to learn a new system regardless, coupled with dissatisfaction with their current platform's performance. The move to Synapse not only addressed their immediate technical support issue but also provided a more cohesive and efficient environment for data analytics, with features like on-demand SQL pools, Spark compute and data pipelines that simplified operations for their limited staff. 15 oneneck.com 15 oneneck.com 06 15 oneneck.com