AWS Machine Learning Blog

DECEMBER 4, 2024

It seems straightforward at first for batch data, but the engineering gets even more complicated when you need to go from batch data to incorporating real-time and streaming data sources, and from batch inference to real-time serving. Without the capabilities of Tecton , the architecture might look like the following diagram.

ML 97

ML ML AWS AI 97

AWS Machine Learning Blog

FEBRUARY 24, 2023

The solution is then able to make predictions on the rest of the training data, and route lower-confidence results for human review. In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture.

ML 104

ML ML AWS Data Pipeline 104

Pickl AI

DECEMBER 9, 2024

DataNodes store the actual data blocks and respond to requests from the NameNode. YARN (Yet Another Resource Negotiator) manages resources and schedules jobs in a Hadoop cluster. What are Some Popular Big Data tools? Popular storage, processing, and data movement tools include Hadoop, Apache Spark, Hive, Kafka, and Flume.

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

phData

FEBRUARY 5, 2024

Setting up the Information Architecture Setting up an information architecture during migration to Snowflake poses challenges due to the need to align existing data structures, types, and sources with Snowflake’s multi-cluster, multi-tier architecture.

SQL 52

SQL Database Data Quality Data Warehouse 52

The MLOps Blog

MARCH 12, 2024

Data and workflow orchestration: Ensuring efficient data pipeline management and scalable workflows for LLM performance. Caption : RAG system architecture. Prompt-response management: Refining LLM-backed applications through continuous prompt-response optimization and quality control.

Database 52

Database Machine Learning Machine Learning AI 52