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Best 8 Data Version Control Tools for Machine Learning 2024

DagsHub

In addition to versioning code, teams can also version data, models, experiments and more. Released in 2022, DagsHub’s Direct Data Access (DDA for short) allows Data Scientists and Machine Learning engineers to stream files from DagsHub repository without needing to download them to their local environment ahead of time.

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Mainframe Data: Empowering Democratized Cloud Analytics

Precisely

The cloud is especially well-suited to large-scale storage and big data analytics, due in part to its capacity to handle intensive computing requirements at scale. BI platforms and data warehouses have been replaced by modern data lakes and cloud analytics solutions.

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Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning Blog

This begins the process of converting the data stored in the S3 bucket into vector embeddings in your OpenSearch Serverless vector collection. Note: The syncing operation can take minutes to hours to complete, based on the size of the dataset stored in your S3 bucket.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

To combine the collected data, you can integrate different data producers into a data lake as a repository. A central repository for unstructured data is beneficial for tasks like analytics and data virtualization. Data Cleaning The next step is to clean the data after ingesting it into the data lake.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Model versioning, lineage, and packaging : Can you version and reproduce models and experiments? Can you see the complete model lineage with data/models/experiments used downstream? LakeFS LakeFS is an open-source platform that provides data lake versioning and management capabilities.

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Comparing Tools For Data Processing Pipelines

The MLOps Blog

If you will ask data professionals about what is the most challenging part of their day to day work, you will likely discover their concerns around managing different aspects of data before they get to graduate to the data modeling stage. Pricing It is free to use and is licensed under Apache License Version 2.0.

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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Download the notebook file to use in this post. data # Assing local directory path to a python variable local_data_path = "./data/" data/" # Assign S3 bucket name to a python variable. . She assists customers by architecting enterprise data lake and ML solutions to scale their data analytics in the cloud.

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