Enterprises have been using traditional data warehouses as the central hub and a single version of truth for over two decades. These database management systems integrate data from several sources, such as ERP, CRM, and LOB applications, and generate reports and analyses. With the explosion in enterprise data that are accumulated from new and old sources, these systems are slowly but surely losing the edge required to provide a meaningful competitive advantage to businesses primarily because they are backward-looking. This leaves limited opportunities for business leaders to make data-driven decisions as the existing systems cannot cope with the volume and velocity at which new data types are evolving. In this article, we will focus on building a modern data warehouse in Azure.<\/p>\n
The growing complexities in modern enterprises have forced professionals to look beyond the historical analysis that traditional data warehouses can generate. Here are some key trends that make cloud-based Azure data warehousing a sensible option.<\/p>\n
Implementing an average enterprise data warehouse project can take as many as three years. Such projects might have to be split into several phases. Here is how enterprises can build a unified data source on Azure.<\/p>\n
While this method is typically used in the first phase to implement a minimum viable product, enterprises can further optimize the data flow pipeline using Azure Databricks. Additionally, services such as HD Insight and Azure Machine Learning can be used for advanced analytics.<\/p>\n
As a Microsoft Gold Partner and a Power Platform Partner,<\/strong> Apps4Rent provides managed Azure services<\/span><\/a> to help businesses modernize their data warehouse in Azure. Contact our Microsoft-certified Azure advisors, available 24\/7 via phone, chat, and email for assistance.<\/p>\n