datapine

MAY 2, 2023

Benefits Of Big Data In Logistics Before we look at our selection of practical examples and applications, let’s look at the benefits of big data in logistics – starting with the (not so) small matter of costs. Big data enables automated systems by intelligently routing many data sets and data streams.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

AWS Big Data

JULY 26, 2023

Plan In the planning phase, developers collect requirements from stakeholders such as end-users to define a data requirement. To start applying this end-to-end development lifecycle model to your data platform easily and quickly, we prepared the baseline template aws-glue-cdk-baseline using the AWS CDK.

Data Integration 73

Data Integration Snapshot Testing Visualization 73

AWS Big Data

MARCH 16, 2023

A source of unpredictable workloads is dbt Cloud , which SafetyCulture uses to manage data transformations in the form of models. Whenever models are created or modified, a dbt Cloud CI job is triggered to test the models by materializing the models in Amazon Redshift.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

AWS Big Data

OCTOBER 11, 2023

Key performance indicators (KPIs) of interest for a call center from a near-real-time platform could be calls waiting in the queue, highlighted in a performance dashboard within a few seconds of data ingestion from call center streams. Visualize KPIs of call center performance in near-real time through OpenSearch Dashboards.

Management 106

Management Metadata Analytics Dashboards 106

O'Reilly on Data

OCTOBER 19, 2021

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. Not only is data larger, but models—deep learning models in particular—are much larger than before.

IT 342

IT Testing Experimentation Software 342

AWS Big Data

MARCH 3, 2023

Every event in the data source can be relevant, and our customers don’t tolerate data loss, poor data quality, or discrepancies between the source and Tricentis Analytics. While aggregating, summarizing, and aligning to a common information model, all transformations must not affect the integrity of data from its source.

Software 52

Software Data Lake Testing Cost-Benefit 52