Knowledge Hut

MARCH 22, 2024

Did you know that Amazon Web Services (AWS) has a 33% market share in cloud computing? According to the 2020 Workplace Learning Report by LinkedIn, cloud computing ranked as the second-most crucial hard skill demanded by employers. Fast-track your career with our Cloud Computing certification.

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Knowledge Hut

NOVEMBER 7, 2023

A cloud could also give you quicker, more advanced, or more scalable resources, allowing you to conduct tasks that your existing resources, whether inside your department, institution or the larger academic community, cannot handle. Similarly, cloud resources may enable you to obtain more precise findings than you can currently achieve.

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Knowledge Hut

FEBRUARY 7, 2023

All of these topics are interconnected and can give you a solid foundation when you begin learning about and using cloud computing platforms. However, we'll limit our attention in this post to infrastructure-as-a-service (IaaS) cloud service providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

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Knowledge Hut

JANUARY 29, 2024

Cloud Computing Cloud Computing is a method of hosting a network of remote servers on the Internet. The term cloud is referred to as a metaphor for the internet. These servers are primarily responsible for data storage, management, and processing.

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Knowledge Hut

APRIL 25, 2023

Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?

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Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. One weakness of the data lake architecture was the need to “bolt on” a data store such as Hive or Glue.

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Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

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