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Elastic tables

In the ever-evolving world of data management, scalability and performance are paramount. Microsoft Dynamics 365 Customer Engagement (CE) introduces a powerful new feature: Elastic Tables. These tables are designed to handle large volumes of data with ease, ensuring your applications remain efficient and responsive even as your data grows. Let’s dive into the key aspects of Elastic Tables and how they can benefit your business.

What Are Elastic Tables?

Elastic Tables are a new type of table in Dynamics 365 Dataverse, physically stored in Azure Cosmos DB. Unlike standard tables stored in Azure SQL, Elastic Tables automatically scale horizontally to handle large amounts of data and high levels of throughput with low latency. This makes them ideal for applications with unpredictable, spiky, or rapidly growing workloads.

Key Features of Elastic Tables

1. Horizontal Scaling: Elastic Tables automatically scale to accommodate large data volumes, ensuring consistent performance without manual intervention.
2. Flexible Schema: They support flexible schema designs, allowing you to adapt your data model as your requirements evolve.
3. High Throughput: Designed to handle millions of read and write requests per hour, Elastic Tables ensure your applications can manage high volumes of data efficiently.
4. Time-to-Live (TTL) Capability: You can set a TTL for data, automatically removing records after a specified period to optimize storage capacity.
5. Integration with Standard Tables: Elastic Tables can be associated with standard Dataverse tables, providing seamless integration and data consistency.

When to Use Elastic Tables

Elastic Tables are particularly useful in scenarios where:

• Your data is unstructured or semi-structured.
• Your data model might constantly change.
• You need automatic horizontal scaling.
• You need to handle a high volume of read and write requests.

Example Use Case

Consider a retailer with millions of customers planning to run multiple 24-hour flash sale events. The retailer needs to ingest up to 100 million coupon details within a few hours, read millions of coupons per hour, and send coupons to customers. Elastic Tables can handle this high throughput scenario efficiently, ensuring the marketing application performs optimally without impacting other operations.

Conclusion

Elastic Tables in Dynamics 365 CE offer a robust solution for managing large volumes of data with ease. By leveraging their scalability, flexible schema, and high throughput capabilities, businesses can ensure their applications remain efficient and responsive, even as data volumes grow. Embrace the power of Elastic Tables and take your data management to the next level.

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