Remove Document Remove Metrics Remove Reference
article thumbnail

When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares

DataKitchen

A dashboard shows anomalous metrics, a machine learning model starts producing bizarre predictions, or stakeholders complain about inconsistent reports. Missing transactions, stale reference data, and delayed dimension updates all stem from this root cause. Reports are run on schedule, but they reflect outdated information.

article thumbnail

Introducing AWS Glue Data Catalog usage metrics for API usage

AWS Big Data

We’re excited to announce AWS Glue Data Catalog usage metrics. The usage metrics is a new feature that provides native integration with Amazon CloudWatch. With its unified interface that acts as an index, you can store and query information about your data sources, including their location, formats, schemas, and runtime metrics.

Insiders

Sign Up for our Newsletter

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

article thumbnail

MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management

KDnuggets

It logs parameters, metrics, and files created during tests. Metrics : Performance metrics such as accuracy, precision, recall, or loss values. Archived : Older models preserved for reference. Monitor Models : Continuously track performance metrics for production models. Deployment can also become inefficient.

article thumbnail

The Race For Data Quality in a Medallion Architecture

DataKitchen

For instance, records may be cleaned up to create unique, non-duplicated transaction logs, master customer records, and cross-reference tables. Finally, the challenge we are addressing in this document – is how to prove the data is correct at each layer.? How do you ensure data quality in every layer?

article thumbnail

Build data pipelines with dbt in Amazon Redshift using Amazon MWAA and Cosmos

AWS Big Data

For creation instructions, refer to the Amazon Redshift Management Guide. For creation instructions, refer to Create an Amazon MWAA Environment. For creation instructions, refer to Use IAM roles to connect GitHub Actions to actions in AWS and Security best practices in IAM. An S3 bucket to store dbt project files and DAGs.

article thumbnail

Cost Optimized Vector Database: Introduction to Amazon OpenSearch Service quantization techniques

AWS Big Data

These advanced search features help find and retrieve conceptually relevant documents from enterprise content repositories to serve as prompts for generative AI models. Note, the encoder parameter refers to a method used to compress vector data before storing it in the index. 16x 2 246.4

article thumbnail

From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. Documentation and diagrams transform abstract discussions into something tangible. Complex ideas that remain purely verbal often get lost or misunderstood.