Jet Global

DECEMBER 1, 2020

In addition, it can be very helpful to have a metadata layer in place that can help non-developers make sense of the information in the database. A non-developer can easily build a basic data warehouse including OLAP Cube or Tabular Model with Jet Analytics in as little as 30 minutes.

Finance 78

Finance Data Warehouse OLAP Reporting 78

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

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Jet Global

MAY 1, 2023

Show how embedded analytics will enhance sales and marketing through better demos and shorter sales cycles. Discuss how embedded analytics help their team to deliver better sales demos, decrease sales cycles, box out the competition, and drive new revenue. Explain how embedded analytics can deliver the capabilities customers need.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52