Instead of schemas and tables, NoSQL databases store data in ways that depend on what kind of NoSQL database is being used. SQL databases use schemas and pre-defined tables, while NoSQL databases are the complete opposite. While it may not be the most exciting match up, there’s much to be said when comparing SQL vs NoSQL databases. Today, it provides even greater value because critical data exists in both structured and unstructured formats and lives both on premises and in the cloud. It facilitates communication between the business and system developers so stakeholders can understand the structure and meaning of enterprise data within a given context.

But even though speed is critical, businesses must take the time to model and document new applications for compliance and transparency.įor decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Due to the prevalence of internal and external market disruptors, many organizations are aligning their digital transformation and cloud migration efforts with other strategic requirements (e.g., compliance with the General Data Protection Regulation).Īccelerating the retrieval and analysis of data-so much of it unstructured-is vital to becoming a data-driven business that can effectively respond in real time to customers, partners, suppliers and other parties, and profit from these efforts.

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