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The Trend of Cloud Repatriation: Moving Back to On-Premises Infrastructure

cloud computing

In recent years, a shift in IT infrastructure strategies has seen many companies moving workloads away from public cloud services and back to on-premises setups or private cloud environments. This movement, known as "cloud repatriation," is driven by various factors that range from cost management to performance, security, and compliance concerns. While public cloud adoption surged over the past decade, the limitations of this model have led organizations to reconsider their approach, resulting in a hybrid IT strategy combining both on-premises and cloud resources. Why Companies Are Moving Back to On-Premises 1. Cost Considerations One of the most prominent factors driving cloud repatriation is the realization of the high costs associated with public cloud services. While the cloud offers scalability and flexibility, many companies

Exploring the Inner Workings of Google BigQuery: A Deep Dive into Design, Competitors, Use Cases, and Pros/Cons

Google BigQuery

Discover the inner workings of Google BigQuery, a game-changer in big data analytics. Unravel its architecture, including the prowess of its distributed query engine, Dremel, and the innovative Capacitor technology. Compare it with competitors, explore diverse use cases from real-time analytics to healthcare, and weigh its pros and cons. Join us on a journey into the heart of data analytics excellence.

Use Amazon CloudSearch to quickly search through data

was-cloudsearch

Amazon CloudSearch provides a number of powerful search capabilities, including full-text search, faceted search, and customizable relevance ranking. In this post, we’ll see what CloudSearch is

How To Generate Parquet Files in Java

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The Parquet file format has become very popular lately. In this post, we’ll see what it is, and how to create Parquet files in Java using Spring Boot.

How to build a simple data lake using Amazon Kinesis Data Firehose and Amazon S3

data lake

In this post, we’ll see how we can create a very simple, yet highly scalable data lake using Amazon’s Kinesis Data Firehose and Amazon’s S3.

Overriding Spring Boot properties in Amazon Lambda

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In this post, we’ll see how we can maintain Spring Boot properties in an Amazon Lambda function without making code changes.

Emulating Apache Kafka with Amazon SNS and SQS

We’ll learn how to introduce the concept of consumer groups from Kafka in the AWS world using Amazon SNS and Amazon SQS.

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