Remove 2022 Remove Clustering Remove Data Lakes
article thumbnail

Demand forecasting at Getir built with Amazon Forecast

AWS Machine Learning Blog

Algorithm Selection Amazon Forecast has six built-in algorithms ( ARIMA , ETS , NPTS , Prophet , DeepAR+ , CNN-QR ), which are clustered into two groups: statististical and deep/neural network. She worked as a data scientist at Arcelik, focusing on spare-part recommendation models and age, gender, emotion analysis from speech data.

article thumbnail

Governing the ML lifecycle at scale, Part 4: Scaling MLOps with security and governance controls

AWS Machine Learning Blog

Data Governance Account This account hosts data governance services for data lake, central feature store, and fine-grained data access. These resources can include SageMaker domains, Amazon Redshift clusters, and more. Key activities and actions are numbered in the preceding diagram.

ML 65
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What Can AI Teach Us About Data Centers? Part 1: Overview and Technical Considerations

ODSC - Open Data Science

What are the similarities and differences between data centers, data lake houses, and data lakes? Data centers, data lake houses, and data lakes are all related to data storage and management, but they have some key differences. Not a cloud computer?

article thumbnail

Discover the Most Important Fundamentals of Data Engineering

Pickl AI

As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. The global Big Data and Data Engineering Services market, valued at USD 51,761.6 million in 2022, is projected to grow at a CAGR of 18.15% , reaching USD 140,808.0

article thumbnail

How to Build a Data Mesh in Snowflake

phData

A data mesh is a conceptual architectural approach for managing data in large organizations. Traditional data management approaches often involve centralizing data in a data warehouse or data lake, leading to challenges like data silos, data ownership issues, and data access and processing bottlenecks.

article thumbnail

Snowflake Snowpark: cloud SQL and Python ML pipelines

Snorkel AI

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody. PA : Got it.

SQL 52
article thumbnail

Snowflake Snowpark: cloud SQL and Python ML pipelines

Snorkel AI

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody. PA : Got it.

SQL 52