Snowflake

DECEMBER 5, 2023

We had a jam-packed week alongside more than 60,000 attendees at Amazon Web Services (AWS) re:Invent, one of the largest hands-on conferences in the cloud computing industry. Engaging with partners and customers — and showcasing what’s new on the Snowflake product front — made for a dynamic time in Las Vegas.

AWS 105

AWS Amazon Web Services Government Cloud Computing 105

Cloudera

MARCH 31, 2021

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. Data Preparation (Apache Spark and Apache Hive) .

Google Cloud 93

Google Cloud Cloud Amazon Web Services Cloud Storage 93

Edureka

JULY 16, 2024

Machine Learning in AWS SageMaker Machine learning in AWS SageMaker involves steps facilitated by various tools and services within the platform: Data Preparation: SageMaker comprises tools for labeling the data and data and feature transformation. FAQs What is Amazon SageMaker used for?

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

Knowledge Hut

JANUARY 29, 2024

To further understand cloud computing vs. data science, here are some essential differences that need to be noted: 1. Cloud computing is an infrastructure or technology to give dynamic and continuous IT services. Cloud Computing provides storage, scalable compute, and network bandwidth to handle substantial data applications.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

Knowledge Hut

MARCH 28, 2024

Role Level: Intermediate Responsibilities Develop machine learning pipelines using Azure Machine Learning service. Role Level: Intermediate Responsibilities Develop and enforce data governance policies, standards, and procedures in Azure environments.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Knowledge Hut

APRIL 25, 2023

Power BI Power BI is a cloud-based business analytics service that allows data engineers to visualize and analyze data from different sources. It provides a suite of tools for data preparation, modeling, and visualization, as well as collaboration and sharing.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

ProjectPro

JANUARY 31, 2022

Traditional data preparation platforms, including Apache Spark, are unnecessarily complex and inefficient, resulting in fragile and costly data pipelines. Multi-Cloud Support- Snowflake is a fully managed data warehouse deployed across various clouds while maintaining the same intuitive user interface.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52