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ETL Pipelines With Python Azure Functions

Mlearning.ai

One of them is Azure functions. In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. An Azure function contains code written in a programming language, for instance Python, which is triggered on demand.

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13 More Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

Microsoft Azure Comprising more than 200 products and cloud services, Microsoft Azure aims to meet organizations where they are (in the cloud, in-person, or a hybrid of the two) to help develop new business solutions. Check out a few of them below.

professionals

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What is Cloud Computing ? Types, Facts, Benefits – A Complete Guide

Pickl AI

Cloud computing is a way to use the internet to access different types of technology services. These services include things like virtual machines, storage, databases, networks, and tools for artificial intelligence and the Internet of Things. It is managed by a cloud service provider.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Cloud-based business intelligence (BI): Cloud-based BI tools enable organizations to access and analyze data from cloud-based sources and on-premises databases. IoT analytics: IoT (Internet of Things) analytics deals with data generated by IoT devices, such as sensors, connected appliances, and industrial equipment.

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What Are the Best Data Modeling Methodologies & Processes for My Data Lake?

phData

This data can be structured, semi-structured, or unstructured and comes from various sources such as databases, IoT devices, log files, etc. Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process.

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Training Models on Streaming Data [Practical Guide]

The MLOps Blog

Azure Stream Analytics : A cloud-based service that can be used to process streaming data in real-time. Internet of Things : Streaming data is important for IoT device communication and data collection, it allows devices to send and receive data in real-time and helps in more accurate and efficient decision making.

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Administering Data Fabric to Overcome Data Management Challenges.

Smart Data Collective

With the increased adoption of cloud and emerging technologies like the Internet of Things, data is no longer confined to the boundaries of organizations. The data contained can be both structured and unstructured and available in a variety of formats such as files, database applications, SaaS applications, etc.