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Google Cloud vs AWS- Which is Better: A Comparison

Knowledge Hut

Thanks to cloud computing, services are now secure, reliable, and cost-effective. When we talk of top cloud computing providers, there are 2 names that are ruling the markets right now- AWS and Google Cloud. Hosting sites at AWS and Google Cloud has become fairly easy. Airbnb, Expedia, etc.

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AWS vs GCP - Which One to Choose in 2023?

ProjectPro

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Let’s get started!

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

Cost Efficiency and Scalability Open Table Formats are designed to work with cloud storage solutions like Amazon S3, Google Cloud Storage, and Azure Blob Storage, enabling cost-effective and scalable storage solutions. Amazon S3, Azure Data Lake, or Google Cloud Storage).

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Delivering High Performance for Cloudera Data Platform Operational Database (HBase) When Using S3

Cloudera

In this blog, we’ll share how CDP Operational Database can deliver high performance for your applications when running on AWS S3. CDP Operational Database allows developers to use Amazon Simple Storage Service (S3) as its main persistence layer for saving table data. AWS EC2 instance configurations. Test Environment.

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Data Warehouse Migration Best Practices

Monte Carlo

Your database may be in the cloud, but the server that hosts it has a physical location. Cloud storage will provide the most opportunity, but your goals and budget constraints will help to determine what’s right for your business needs. Public, private, hybrid, or multi-cloud. Hosted, managed, or SaaS.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Moreover, this project concept should highlight the fact that there are many interesting datasets already available on services like GCP and AWS. Hundreds of datasets are available from these two cloud services, so you may practise your analytical skills without having to scrape data from an API.