Data Lakes, Data Preparation and Internet of Things

Data lakes vs. data warehouses: Decoding the data storage debate

Data Science Dojo

JANUARY 12, 2023

When it comes to data, there are two main types: data lakes and data warehouses. What is a data lake? An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. Which one is right for your business?

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Data Lakes Data Warehouse Hadoop Machine Learning

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

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Data lakes vs. data warehouses: Decoding the data storage debate

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

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