Cloud Data Warehouse Applications

Business Intelligence 

Cloud data warehouses are the wellspring of business intelligence. The advancements in big data analytics mean that companies will use their cloud data warehouses to deliver complex business intelligence that would have previously taken a lot of time and resources to gather. 

Business intelligence isn’t created. It’s uncovered. Cloud data warehousing provides the speed and tools to sift through mountains of data to uncover hidden insights and answers. 

Data Blending

Leveraging data from disparate sources without standardizing it can range from being laborious and counterproductive to downright impossible. Businesses need a unified view to make sense of data from diverse formats and sources. 

Data blending integrates various datasets from heterogeneous sources and combines them in a way that is accessible, logical, and contextual. Therefore, one of the primary applications of cloud data warehousing is integrating high-potential raw material into a unified system so it can evolve into a key asset. 

Ad Hoc Analytics

The modern world doesn’t wait for anyone. This means that businesses can’t rely on pre-scheduled analytics and reporting. You need answers to complex questions immediately. That’s why real-time cloud data warehousing becomes a critical element to a business’s success. 

Ad hoc analytics can be transformative. For example, whenever organizations leverage cloud data warehousing for ad hoc analytics, they can quickly analyze data as needed without using predefined reports or queries and make more informed decisions.

Data Apps

Data apps utilize data as raw material to generate intelligence and kickstart logical next steps based on that intelligence. There are many kinds of data applications businesses can use or develop. Some are client data apps that customers can interact with, while others are internal apps for employees and in-house teams to use as support. As data becomes more established in the cloud data warehouse, the data apps that use it become more advanced and robust. 

Event Processing

Event processing involves the analysis of an event or series of related events and a corresponding action based on that analysis. Businesses can utilize this to predict positive and negative outcomes to events and take proactive steps to either maximize gains or avoid/minimize potential damage. 


There is tremendous work going on in the field of artificial intelligence and machine learning around the world. Businesses are rightly intrigued and excited by the potential of AI and ML. That being said, they might also struggle to know where and how to integrate AI/ML into their operations. Cloud data warehousing is the perfect opportunity for companies to understand and utilize the full capabilities of data to power AI/ML.

Next part: Data Warehousing Fundamentals

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