Leverage the power of Databricks to set up a secure cloud environment to process, analyze and visualize big data.

Build a cloud-agnostic data platform that can run seamlessly in any cloud environment. Become data-driven organization.

Which cloud provider to choose? Introduction and comparison of key features.

What are the benefits of migrating to the Cloud, and when to postpone such plans? Read to find out

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.

The choice between on-premises and cloud is not obvious. Learn the pros and cons of both solutions and make better strategic decisions.

See how to set up an environment to be able to query the data lake and process information in Azure.

In this article, we will compare two Azure Hosting PaaS services used during the processes of developing and deploying containerized applications.

Meet key Google Firebase functionalities. Read and know how to integrate it with your front-end application as a backend service platform.