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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. We won’t delve into more details on the different pipelines in this article.

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Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

This resulted in a wide number of accelerators, code repositories, or even full-fledged products that were built using or on top of Azure Machine Learning (Azure ML). The Azure data platforms in this diagram are neither exhaustive nor prescriptive. Creation of Azure Machine Learning workspaces for the project.

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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. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

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How IoT Can Be Connected to Business Intelligence

Smart Data Collective

In this article, we offer you to have a look at how it can be done and provide you with step-by-step instructions. Usually, companies choose a platform provided by one of the most well-known vendors like Amazon (AWS), Google Cloud, or Microsoft Azure. But what if we combine these technologies? Will it make sense?

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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

Commonly used technologies for data storage are the Hadoop Distributed File System (HDFS), Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage, as well as tools like Apache Hive, Apache Spark, and TensorFlow for data processing and analytics. Contact: kai.waehner@confluent.io / Twitter / LinkedIn.

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Citus 12: Schema-based sharding for PostgreSQL

Hacker News

Extending the MERGE superpower in Citus 12 Schema-based sharding is super exciting and the biggest enhancement in Citus 12, but we also continue to improve Citus for other scenarios, including row-based multi-tenancy and Internet-of-things (IoT) scenarios. is just released, it is not yet available on Azure but it will be soon.

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Training Models on Streaming Data [Practical Guide]

The MLOps Blog

In this article, we will go through the basics of streaming data, what it is, and how it differs from traditional data. In this article, our focus is on streaming data, but before we deal with it, it is important to understand how it differs from Batch data processing. This will also help us observe the importance of stream data.