Jet Global

FEBRUARY 8, 2021

Power BI can consume Jet Reports output or the Tabular Models or OLAP cubes from Jet Analytics to provide an easy way for developers to create dashboards and analytics, which insulates them from any changes to the underlying BC database. Those queries can even be saved as template files that you can easily share, publish, or download.

Reporting 98

Reporting Dashboards Cost-Benefit OLAP 98

Jet Global

APRIL 30, 2019

The solution is to make the AX data available to the web for publishing, however, this requires strong technical skills in data development – which adds a lot of time to the report building process. Merging Multiple Data Sources for One Governed Data Set. What Jet Analytics Brings to the Table.

Finance 73

Finance OLAP Reporting Data Warehouse 73

AWS Big Data

MARCH 7, 2023

Also, datasets are accessed for ML, data exporting, and publishing needs. Data repository services Amazon Redshift is the recommended data storage service for OLAP (Online Analytical Processing) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

erwin

JUNE 7, 2022

I published my first book in 2003 showcasing how I used Ralph’s technique to create a large data warehouse in the Oracle database. Now to cover some data modeling basics that applies no matter whether on-premises or in the cloud. Business Focus. Operational. Operational Tactical. Tactical Strategic. Analytical. Machine Learning.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

AWS Big Data

AUGUST 1, 2024

A loading team builds a producer-consumer architecture in Amazon Redshift to process concurrent near real-time publishing of data. This requires a dedicated team of 3–7 members building and publishing refined datasets in Amazon Redshift. The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

Jet Global

SEPTEMBER 22, 2023

Pre-built OLAP cubes, tabular models, and a data warehouse. Boost refresh times with star schemas, tabular models, and OLAP cubes. Build cohesion and improve team output with a complete data preparation, automation, and modeling tool, and a BI customization platform that is five times faster than manual coding.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52

Jet Global

MAY 6, 2022

Providing pre-built OLAP cubes, a data warehouse, and visualized dashboards. Other benefits include: Providing accurate, governed data through a single source of truth. Rapid time to value through turnkey installation within hours. Low total cost of ownership. A drag-and-drop customization platform.

Data Warehouse 52

Data Warehouse Visualization Finance Reporting 52

Jet Global

MAY 1, 2023

OLAP cubes Used for multi-dimensional analysis Strategic Objective When a vendor-specific connector is not available, generic connectors provide flexibility with data. Quickly link all your data from Amazon Redshift, MongoDB, Hadoop, Snowflake, Apache Solr, Elasticsearch, Impala, and more. Requirement ODBC/JDBC Used for connectivity.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

MARCH 13, 2025

Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution. This post is cowritten with Mayank Shrivastava and Barkha Herman from StarTree. Conclusion In this post, we presented StarTree as a managed solution on AWS for teams seeking the advantages of Apache Pinot.

Management 91

Management Analytics OLAP Online Analytical Processing 91