erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. A sample data warehousing project.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS. Data Modeling.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Jedox

DECEMBER 3, 2020

In a recent web survey conducted by Jedox, 40% of FP&A professionals reported that disconnected data sources are their primary pain point for their data analytics. A modern planning solution should enable seamless connection of your data sources and allow your organization to minimize reliance on your in-house IT department.

OLAP 57

OLAP Cost-Benefit Data-driven Finance 57

Jet Global

MAY 1, 2023

By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52