Remove Business Intelligence Remove Engineering Management Remove Serverless
article thumbnail

Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.

article thumbnail

The Good and the Bad of Snowflake Data Warehouse

Altexsoft

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. BTW, we have an engaging video explaining how data engineering works. Zero management.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Organise your engineering teams around the work by reteaming

Abhishek Tiwari

ERP engineering squad - supply chain planning, purchase order management, product lifecycle management, merchandise planning, etc. Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc.

article thumbnail

Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning - AI

Lambda enables serverless, event-driven data processing tasks, allowing for real-time transformations and calculations as data arrives. Step Functions complements this by orchestrating complex workflows, coordinating multiple Lambda functions, and managing error handling for sophisticated data processing pipelines.

AWS 71