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Leverage the power of Databricks to set up a secure cloud environment to process, analyze and visualize big data.
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Build a cloud-agnostic data platform that can run seamlessly in any cloud environment. Become data-driven organization.
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Which cloud provider to choose? Introduction and comparison of key features.
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What are the benefits of migrating to the Cloud, and when to postpone such plans? Read to find out
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I’ll demonstrate how to use GCP Workflows to build a cheap process to load data into the BigQuery data warehouse or create ML processes.
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The choice between on-premises and cloud is not obvious. Learn the pros and cons of both solutions and make better strategic decisions.
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See how to set up an environment to be able to query the data lake and process information in Azure.
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In this article, we will compare two Azure Hosting PaaS services used during the processes of developing and deploying containerized applications.
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Meet key Google Firebase functionalities. Read and know how to integrate it with your front-end application as a backend service platform.