Azure Synapse Analytics

Nowadays, with inexpensive storage and high elastic storage capacities, organizations are amassing more data than ever before. Architecting a solution to analyze such massive volumes of data to deliver meaningful insights about a business can be a challenge. One obstacle that many businesses face is the need to manage and maintain two types of analytics systems:

• Data warehouses: These provide critical insights about the business.
• Data lakes: These provide meaningful insights about customers, products, employees, and processes through various analytics methodologies.

Both of these analytics systems are critical to businesses, yet they operate independently of one another. Meanwhile, businesses need to gain insights from all their organizational data in order to stay competitive and to innovate processes to obtain better results.

For architects who need to build their own end-to-end data pipelines, the following steps must be taken:

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