Hacker News

JULY 18, 2023

What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? Schema-based sharding has almost no data modelling restrictions or special steps compared to unsharded PostgreSQL.

Database 123

Database Data Modeling Data Models SQL 123

The MLOps Blog

JANUARY 25, 2023

A multilingual embedding model is an effective tool that combines semantic information for language understanding with the ability to encode text from various languages into a common embedding space. This allows it to be used for a variety of downstream tasks, including text classification, clustering, and others.

Natural Language Processing 52

Natural Language Processing ML ML Deep Learning 52

The MLOps Blog

JUNE 13, 2024

You should test the entire ML model development chain, for example: Data collection: Test the quality, accuracy, and relevance of the data collected to ensure it meets the needs of the model. Feature creation: Validate and test the processes used to select, manipulate, and transform data.

ML 59

ML ML Data Scientist Azure 59

DagsHub

OCTOBER 23, 2024

NoSQL Databases NoSQL databases do not follow the traditional relational database structure, which makes them ideal for storing unstructured data. They allow flexible data models such as document, key-value, and wide-column formats, which are well-suited for large-scale data management.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

O'Reilly Media

OCTOBER 19, 2021

We need robust versioning for data, models, code, and preferably even the internal state of applications—think Git on steroids to answer inevitable questions: What changed? Prior to the cloud, setting up and operating a cluster that can handle workloads like this would have been a major technical challenge.

ML 141

ML ML Data Scientist AWS 141

The MLOps Blog

JUNE 27, 2023

SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale. Metaflow Metaflow helps data scientists and machine learning engineers build, manage, and deploy data science projects.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

The MLOps Blog

OCTOBER 3, 2023

It’s almost like a specialized data processing and storage solution. For example, you can use BigQuery , AWS , or Azure. It can be a cluster run by Kubernetes or maybe something else. Mikiko Bazeley: Yeah, so we actually did a talk at Data Council. I would need to have the infrastructure to perform computations.

ML 52

ML ML Data Scientist Machine Learning 52

phData

FEBRUARY 13, 2024

By centralizing SAP ERP data in Snowflake, organizations can gain deeper insights into key business metrics, trends, and performance indicators, enabling more informed decision-making, strategic planning, and operational optimization. Violations of license restrictions can result in penalties, additional fees, or even legal consequences.

Analytics 59

Analytics Analytics Data Scientist Data Modeling 59