Mlearning.ai

JULY 8, 2023

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. A batch ETL works under a predefined schedule in which the data are processed at specific points in time.

ETL 52

ETL Azure Python Internet of Things 52

ODSC - Open Data Science

JULY 19, 2023

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). Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project.

Machine Learning 52

Machine Learning Machine Learning Azure Data Science 52

The MLOps Blog

FEBRUARY 5, 2023

Apache NiFi : An open-source tool that can be used to automate the collection, processing, and distribution of data. It provides a web-based interface for building data pipelines and can be used to process both batch and streaming data. It is also flexible and can be adapted for any use case.

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

phData

SEPTEMBER 19, 2023

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. What are the Best Data Modeling Methodologies and Processes? Data lakes are meant to be flexible for new incoming data, whether structured or unstructured.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52