Migrating from Hadoop to a Cloud-Ready Architecture for Data Analytics

Migrating from Hadoop to a Cloud-Ready Architecture for Data Analytics

This post was a collaboration between Kevin Lambrecht of UCE Systems and Raghav Karnam The cloud operating model and specifically Kubernetes have become the standard for large scale infrastructure today. More importantly, they are evolving at an exceptional pace with material impacts to data science, data analytics and AI/ML. This transition has a significant impact on the Hadoop ecosystem.

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Architecting a Modern Data Lake

Architecting a Modern
Data Lake

Approximately 90% of all the data in the world is replicated data, with only 10% being genuine, new data. This has significant implications for an enterprise's data strategy — particularly when you consider the growth rates. For example, in 2020, the total amount of data generated and consumed was 64.2 zettabytes. In 2021, it was forecast that the

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Migrating MinIO Cluster Instances with Zero Downtime and Zero Data Loss

Migrating MinIO Cluster Instances with Zero Downtime and Zero Data Loss

With the advent of cloud computing, ephemeral compute instances have become ubiquitous. This introduces a whole set of challenges around managing the software, applying DevOps principles, addressing security vulnerabilities and ensuring automation. These are mission-critical in order to prevent data theft and service disruption. Addressing security vulnerabilities is particularly challenging as it frequently takes the form of updating and restarting

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