Octopai

JANUARY 21, 2020

How much time has your BI team wasted on finding data and creating metadata management reports? BI groups spend more than 50% of their time and effort manually searching for metadata. This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s.

OLAP 81

OLAP Metadata Online Analytical Processing Data Quality 81

AWS Big Data

AUGUST 6, 2024

Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. OLAP combines data from various data sources and aggregates and groups them as business terms and KPIs.

OLAP 110

OLAP Analytics Visualization Dashboards 110

Octopai

AUGUST 30, 2020

Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. Download upper and column-to-column lineage to Excel/CSV in order to document, verify development and change requests. We call this feature: Expand. Column-to-column lineage.

OLAP 84

OLAP Metadata Visualization Data Processing 84

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

Jet Global

SEPTEMBER 22, 2023

This metadata-driven approach also allows the project to be managed easily by multiple contributors and documentation to be generated on demand. Pre-built OLAP cubes, tabular models, and a data warehouse. Boost refresh times with star schemas, tabular models, and OLAP cubes. Turnkey installation in hours, not months.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52

Jet Global

MAY 1, 2023

Application Imperative: How Next-Gen Embedded Analytics Power Data-Driven Action Download Now While traditional BI has its place, the fact that BI and business process applications have entirely separate interfaces is a big issue. Metadata Self-service analysis is made easy with user-friendly naming conventions for tables and columns.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52