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AWS at Databricks Data + AI Summit 2025

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

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Monitoring of Jobskills with Data Engineering & AI

Data Science Blog

On own account, we from DATANOMIQ have created a web application that monitors data about job postings related to Data & AI from multiple sources (Indeed.com, Google Jobs, Stepstone.de DATANOMIQ Jobskills Webapp The whole web app is hosted and deployed on the Microsoft Azure Cloud via CI/CD and Infrastructure as Code (IaC).

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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. According to Google AI, they work on projects that may not have immediate commercial applications but push the boundaries of AI research.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning Blog

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. The chatbot improved access to enterprise data and increased productivity across the organization.

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Azure Data Engineer Jobs

Pickl AI

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

One of this aspect is the cloud architecture for the realization of Data Mesh. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining. It offers robust IoT and edge computing capabilities, advanced data analytics, and AI services.

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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. Thats where data engineering tools come in!