Data Lakes Hadoop ML 
ODSC - Open Data Science
MAY 31, 2023
Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.
AWS Machine Learning Blog
FEBRUARY 21, 2025
Rockets legacy data science environment challenges Rockets previous data science solution was built around Apache Spark and combined the use of a legacy version of the Hadoop environment and vendor-provided Data Science Experience development tools. Apache HBase was employed to offer real-time key-based access to data.
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ODSC - Open Data Science
JUNE 7, 2023
To make your data management processes easier, here’s a primer on data lakes, and our picks for a few data lake vendors worth considering. What is a data lake? First, a data lake is a centralized repository that allows users or an organization to store and analyze large volumes of data.
NOVEMBER 17, 2023
Amazon SageMaker enables enterprises to build, train, and deploy machine learning (ML) models. Amazon SageMaker JumpStart provides pre-trained models and data to help you get started with ML. MongoDB vector data store MongoDB Atlas Vector Search is a new feature that allows you to store and search vector data in MongoDB.
DagsHub
DECEMBER 11, 2023
DVC Released in 2017, Data Version Control ( DVC for short) is an open-source tool created by iterative. DVC can be used for versioning data and models, to track experiments and compare any data, code, parameters models and graphical plots of performance. DVC can efficiently handle large files and machine learning models.
AWS Machine Learning Blog
DECEMBER 18, 2023
By using these capabilities, businesses can efficiently store, manage, and analyze time-series data, enabling data-driven decisions and gaining a competitive edge. If you need an automated workflow or direct ML model integration into apps, Canvas forecasting functions are accessible through APIs.
The MLOps Blog
JANUARY 23, 2023
These tools may have their own versioning system, which can be difficult to integrate with a broader data version control system. For instance, our data lake could contain a variety of relational and non-relational databases, files in different formats, and data stored using different cloud providers. DVC Git LFS neptune.ai
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