Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. As a result, organizations are looking to capitalize on cloud-based data solutions. Let’s get started.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

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?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Cloudera

MARCH 31, 2021

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure.

Google Cloud 90

Google Cloud Cloud Amazon Web Services Cloud Storage 90

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Rockset

FEBRUARY 24, 2022

I’ll focus on the use of events to help understand, analyze and diagnose problems using various OLAP databases and AWS Kinesis data streams. AWS Kinesis Kinesis is Amazon’s solution for collecting and processing streaming data in real time. Rockset is the real-time analytics database in the cloud for modern data teams.

AWS 52

AWS Amazon Web Services Kafka SQL 52

U-Next

SEPTEMBER 7, 2022

Data lakes, however, are sometimes used as cheap storage with the expectation that they are used for analytics. For building data lakes, the following technologies provide flexible and scalable data lake storage : . Amazon Web Services S3 . Gen 2 Azure Data Lake Storage . Conclusion . .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

ProjectPro

SEPTEMBER 6, 2021

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!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52