Remove Dashboards Remove Metadata Remove Presentation
article thumbnail

Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

For example, dashboarding applications are a very common use case in Redshift customer environments where there is high concurrency and queries require quick, low-latency responses. First query response times for dashboard queries have significantly improved by optimizing code execution and reducing compilation overhead.

article thumbnail

How Automated Metadata Discovery Can Save You Money

Octopai

Metadata is at the heart of every report, dashboard, data warehouse, visualization, and anything else the BI team produces. Without an understanding of the organization’s metadata, the BI team can’t match the data from multiple sources to produce a single view of the business. Money Loser #1: Manual Data Discovery.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Some companies are beginning to build their own solutions, and several will be presenting them at Strata Data in NYC this coming Fall—e.g., Metadata and artifacts needed for audits. A dashboard that provides custom views for all principals (operations, ML engineers, data scientists, business owners).

article thumbnail

Manage Amazon OpenSearch Service Visualizations, Alerts, and More with GitHub and Jenkins

AWS Big Data

OpenSearch Service stores different types of stored objects, such as dashboards, visualizations, alerts, security roles, index templates, and more, within the domain. In this post, we present a solution to deploy stored objects using GitHub and Jenkins while preventing users making direct changes into OpenSearch Service domain.

article thumbnail

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. 2 – Data profiling.

article thumbnail

Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

Business intelligence is simply a tool, computer software, and practice used to collect, integrate, analyze, and present raw business data that can be used to create actionable and informative business data. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

article thumbnail

What you need to know about product management for AI

O'Reilly on Data

In the best case scenario, the trained neural network accurately represents the underlying phenomenon of interest and produces the correct output even when presented with new input data the model didn’t see during training. You might have millions of short videos , with user ratings and limited metadata about the creators or content.