Dataconomy

JUNE 18, 2025

Feeding data for analytics Integrated data is essential for populating data warehouses, data lakes, and lakehouses, ensuring that analysts have access to complete datasets for their work. Best practices for data integration Implementing best practices ensures successful data integration outcomes.

Data Warehouse 91

Data Warehouse Data Silos ETL Big Data 91

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 101

ML ML AWS AI 101

Hacker News

JULY 1, 2025

Prior to that, I spent a couple years at First Orion - a smaller data company - helping found & build out a data engineering team as one of the first engineers. We were focused on building data pipelines and models to protect our users from malicious phonecalls. Some: React, IoT, bit o elm, ML, LLM ops and auotmation.

Python 54

Python AWS SQL ML 54

Hacker News

JULY 1, 2025

Designing AI data pipelines to process billions of data points. Designing a next-generation backend architecture that will support our growth for the years to come. We’re looking for a Senior Data Engineer to build and scale the data backbone of Archera’s cloud cost optimization products.

Python 73

Python AWS ML ML 73

The MLOps Blog

MARCH 12, 2024

Data and workflow orchestration: Ensuring efficient data pipeline management and scalable workflows for LLM performance. It involves transforming textual data into numerical form, known as embeddings, representing the semantic meaning of words, sentences, or documents in a high-dimensional vector space.

Database 52

Database Machine Learning Machine Learning AI 52