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In this article, you will consider the CloudWatch as a destination system where the data will be synced. Any other system like CloudWatch, ElasticSearch, RDS, MySQL, DynamDB itself as a destination.It would be helpful if you have an idea about the following areas before you want to learn the real-time data sync using DynamoDB Streams.

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SIGN UP HERE FOR A 14-DAY FREE TRIAL Prerequisites Live Monitoring: Hevo allows you to monitor the data flow and check where your data is at a particular point in time.Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.

This ensures efficient utilization of bandwidth on both ends.

Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time.

Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.

Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.

Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.

Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.

The solutions provided are consistent and work with different BI tools as well. Its fault-tolerant and scalable architecture ensure that the data is handled in a secure, consistent manner with zero data loss and supports different forms of data. Its completely automated pipeline offers data to be delivered in real-time without any loss from source to destination. Hevo not only loads the data onto the desired Data Warehouse/destination but also enriches the data and transforms it into an analysis-ready form without having to write a single line of code. It supports 100+ data sources ( including 40+ free data sources) like Asana and is a 3-step process by just selecting the data source, providing valid credentials, and choosing the destination. Hevo Data, a No-code Data Pipeline helps to load data from any data source such as Databases, SaaS applications, Cloud Storage, SDKs, and Streaming Services and simplifies the ETL process. It is a monitoring service that provides the performance and operational data and actionable insights in the form of logs and metrics for AWS, hybrid, and on-premises applications and infrastructure resources. This service can be hooked up with any type of application or backend.

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The AWS Lambda is a service that provides a way to execute your code without having to manage servers. The order of the events is in sequential order as the modifications happen. You can perform the customization on the streams, letвЂ™s say if you want to see the record before the event and after the event so the change on the data is identifiable. The events can be of any type -insert, update, or remove and carry the content of the rows being modified. The streams are a feature of DynamoDB that emits events when record modifications occur on a DynamoDB table.

What Are DynamoDB Streams? Image Source: DEV Communit yДynamoDB database system originated from the principles of Dynamo, a progenitor of NoSQL, and introduces the power of the cloud to the NoSQL database world. Here is how this article is structured: Table of Contents

You will go through the process step-by-step with examples. You will understand the entire infrastructure that is required to set up the sync between source and destination. This article is all about how you can sync the data in real-time using DynamoDB Streams. That can be accomplished with the help of вЂDynamoDB StreamsвЂ™ to set up a data streaming pipeline. When you want the data to be continuously available for use and for processing, the periodic data capture and movement are not useful, and thatвЂ™s when you need real-time data sync between systems.

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