Astera

JUNE 14, 2023

These transactions typically involve inserting, updating, or deleting small amounts of data. Normalized data structure: OLTP databases have a normalized data structure. This means that they use a data model that minimizes redundancy and ensures data consistency. They have a denormalized data structure.

Supply Chain 40

Supply Chain Data Warehouse Real-time Data Financial Analysis 40

Astera

NOVEMBER 1, 2023

Data warehouses have risen to prominence as fundamental tools that empower financial institutions to capitalize on the vast volumes of data for streamlined reporting and business intelligence. Efficient Reporting: Standardized data within a data warehouse simplifies the reporting process.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

MAY 30, 2024

Variability: The inconsistency of data over time, which can affect the accuracy of data models and analyses. This includes changes in data meaning, data usage patterns, and context. Visualization: The ability to represent data visually, making it easier to understand, interpret, and derive insights.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

MAY 13, 2024

This aggregation type is preferable to conduct trend or pattern analysis over time. Temporal aggregation is extensively utilized in time-series modeling, financial analysis, and economic forecasting. You can use it to identify seasonality or cyclical patterns in your data.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52