Microsoft Power BI is the trending BI tool in the IT market. The demand for this product has increased day-to-day. Microsoft has released the Power BI latest updates to attract more and more customers in the IT market. Recently, it has released some updates in July. But they did not stop there. So now, they have released the new updates. And today, in this article, I would share the Power BI latest updates.
Today organizations were very curious to drive the business decisions. Moreover, today enterprises need an enterprise business platform to meet sophisticated needs. And These needs range from self-service of power BI to full-enterprise governance. Additionally, from paginated reports to full interactive data exploration. And finally from small data-sets to petabytes of data.
Power BI latest updates :
In July, power BI laid the road-map. This helps organizations to modify the modern and traditional Power bi platform. This empowers the business analyst by expanding the self-data preparation. Moreover, Through this, we can analyze the big data. Since then, they have shipped the number of capabilities that deliver on this road-map. Additionally premium, multi Geo allows customers to address the data residency requirements. Moreover, with trillions of rows of data, aggregations enable the data analysis over the petabytes data sets. Moreover, Power BI home landing and dashboard commenting make it easier to get the most important content and collaborate across the enterprises
Data flow in Power BI :
Since olden days, power BI desktop includes a robust self-service data perceptions capabilities. This is done through a power BI query-based experience. They added that they feel excited to announce the public preview of data flows in power BI. This has the following advantages:
Data flows to enable the business analyst to create the data precipitation logic. Across the multiple Power BI reports and dashboards, this can be reused
To create a sophisticated data transmission pipelines data flows were linked. This enables the business analyst to build on each other work. And a new recalculation engine automatically tracks dependencies and recomputes the new data.
In customer Azure data lake storage Gen 2 instance, data flows can be configured to store the data. And the Business Analyst can seamlessly operate on the data. This data is usually stored in an Azure data lake storage. This can be achieved through scaled performance and security. Meanwhile with advanced analytics and AI data scientist and data engineers. This can be done through complementary services like Azure machine learning, Azure data bricks, and Azure SQL data warehouse.
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