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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.

ETL 52
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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.

Analytics 203
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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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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.

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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Journey to AI blog

Thus, was born a single database and the relational model for transactions and business intelligence. Its early success, coupled with IBM WebSphere in the 1990s, put it in the spotlight as the database system for several Olympic games, including 1992 Barcelona, 1996 Atlanta, and the 1998 Winter Olympics in Nagano.

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Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

IBM Journey to AI blog

Internet companies like Amazon led the charge with the introduction of Amazon Web Services (AWS) in 2002, which offered businesses cloud-based storage and computing services, and the launch of Elastic Compute Cloud (EC2) in 2006, which allowed users to rent virtual computers to run their own applications. Google Workspace, Salesforce).