About Author:


Sai Pratheek

Sai Pratheek

Sai Pratheek is a Research Associate at CloudThat, primarily working on AWS and Azure. He is a highly driven and cheerful person with a great desire to learn new things. Pratheek's current areas of interest are IoT and Cloud Technologies.

Migrating Data from AWS Aurora to Delta Lake: Databricks Data Lakehouse – Part 2

Posted on November 17, 2022 by Sai Pratheek | Comments(0)

In our previous blog, we discussed how to migrate data from a database table using Full Load and Continuous Replication operations on Amazon Database Migration Service from an Amazon Aurora RDS instance to an S3 Bucket. In this blog, we will see how we can replicate the continuous data coming from Aurora RDS as Delta Tables on the Databricks Lakehouse Platform to use it for BI and ML workloads.

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Insights into AWS SageMaker Studio And Its popular features

Posted on January 13, 2022 by Sai Pratheek | Comments(3)

Artificial Intelligence (AI) and Machine Learning (ML) are two of the most popular technological terms in the twenty-first century. Although researchers first utilized them, many large corporations are now employing them to solve their business problems efficiently. Implementing machine learning models required a lot of physical computing resources with a lot of configurations before cloud computing, but now cloud providers like AWS, Azure, and Google Cloud Platform supply a lot of virtual resources for ML modeling.

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Azure Spring Cloud: Simplifying The Deployment of Spring Microservices

Posted on November 18, 2021 by Sai Pratheek | Comments(0)

Monolithic architecture has been mainstream for many years for the design of a software application. But when it comes to scalability and continuous development of large applications, they always hindered the developers with their slow pace of development and are difficult to scale. Therefore, it led to the extensive usage of microservices which are highly scalable and secure solutions that can be built at a rapid pace.

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