Five Ways to Amplify Power BI with Azure Synapse Analytics

Today, all companies are looking to do more with their data. Organizations are looking at moving beyond reporting, to provide users with greater insights from their data. Using Azure Synapse Analytics, organizations can utilize the cloud as the central repository for all of their data. Information is not limited to just columns of data; with Azure Synapse, companies can move and analyze other information, including images, sound, or caches of PDF documents. This information can be organized to maximize the company’s ability to access the data and provide insightful information with Power BI. Data used in Power BI can come from the entire data store created by Azure Synapse. Azure Synapse is used as a central data repository, as it contains the tools needed to load data into a data lake, which can be used for machine learning or a virtual database for Power BI. For very large amounts of data, Azure Synapse can create data warehouses and data marts with optimized resources used for Power BI reporting.

Once Azure Synapse has processed the data needed in an organization, the next step is to implement a data visualization environment, such as Power BI. Power BI empowers users to gain more insight into their data by creating an environment where people can interact with their data to find answers to business questions. Developing the data models used in Power BI is the first step to providing access to data from all parts of the organization. Data can come from IoT devices and social media, as well as a number of applications the organization uses in its day-to-day environment. The data that needs to be reported upon may be streamed, perhaps with Azure Event Hubs, a data warehouse, a database, or data lake. The data needs to be in an accessible location so that it can be used not only for reporting but for advanced analytics AI/ML processes. If the data is stored in one location, it will be accessible not only for Power BI reporting but also for data science modeling.

Five Ways toAmplify Power BI with Azure Synapse Analytics