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What’s New with Azure Databricks: Unified Governance, Open Formats, and AI-Native Workloads

databricks

Get a Demo Login Try Databricks Blog / Platform / Article What’s New with Azure Databricks: Unified Governance, Open Formats, and AI-Native Workloads Explore the latest Azure Databricks capabilities designed to help organizations simplify governance, modernize data pipelines, and power AI-native applications on a secure, open platform.

Azure 238
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Data Science Career Paths: Analyst, Scientist, Engineer – What’s Right for You?

How to Learn Machine Learning

Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form. Deployment and Monitoring Once a model is built, it is moved to production.

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How PayU built a secure enterprise AI assistant using Amazon Bedrock

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Rahul Ghosh is a seasoned Data & AI Engineer with deep expertise in cloud-based data architectures, large-scale data processing, and modern AI technologies, including generative AI, LLMs, Retrieval Augmented Generation (RAG), and agent-based systems.

AWS 146
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Top 10 Python Scripts for use in Matillion for Snowflake

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One such option is the availability of Python Components in Matillion ETL, which allows us to run Python code inside the Matillion instance. In this blog, we will describe 10 such Python Scripts that can provide a blueprint for using the Python component efficiently in Matillion ETL for Snowflake AI Data Cloud.

Python 52
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Cloud Data Science 4

Data Science 101

It was an exciting cloud data science week. Microsoft DP-100 Certification Updated – The Microsoft Data Scientist certification exam has been updated to cover the latest Azure Machine Learning tools. Language support is.Net, Java, Python, and JavaScript. Amazon SageMaker now supports Tensorflow 2.0

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Why using Infrastructure as Code for developing Cloud-based Data Warehouse Systems?

Data Science Blog

By automating the provisioning and management of cloud resources through code, IaC brings a host of advantages to the development and maintenance of Data Warehouse Systems in the cloud. So why using IaC for Cloud Data Infrastructures? using for loops in Python).

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Cloud Data Science 11

Data Science 101

Even with the coronavirus causing mass closures, there are still some big announcements in the cloud data science world. Google introduces Cloud AI Platform Pipelines Google Cloud now provides a way to deploy repeatable machine learning pipelines. Azure Functions now support Python 3.8 So, here is the news.