Ontotext

JUNE 10, 2021

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. They create reliable, consistent and communicable models for representing data. Graph Databases vs Relational Databases.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

FineReport

MAY 13, 2020

It also can be used to create a predictive model for various business domains and kinds of models, such as classification, regression, and clustering. . When requiring high customization and sophisticated models, the speed is needed. 1 in China’s BI market share in H1 2019. But KNIME is less flexible and slow. .

OLAP 105

OLAP KPI Data mining Business Intelligence 105

FineReport

JANUARY 6, 2020

The former is more professional in report making, presentation, and printing, while the latter can make OLAP and predict analysis thanks to the BI capabilities. As reporting software, it does not support OLAP. Visual ETL and UI for data relationships and modeling with ETL. . FineReport. Crystal Reports. Price: Quote-based.

Reporting 97

Reporting Slice and Dice OLAP Cost-Benefit 97

FineReport

APRIL 27, 2020

Dibandingkan dengan software serupa lainnya, software-software ini dapat memperkirakan data karena teknologi analisis OLAP dan data mining-nya. Semua data akan dibagi menjadi model berbentuk strip dalam Crystal Report. Crystal Report menggunakan model cross-tab tertentu untuk membuat cross-report. Fragmen laporan.

Reporting 84

Reporting Dashboards Software OLAP 84

FineReport

APRIL 20, 2020

Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. All data is divided into strip-shaped models in Crystal Report. Crystal Reports uses a particular cross-tab model to create cross-reports. The single-table model of Crystal Reports cannot support sharding.

Reporting 84

Reporting OLAP Dashboards Data mining 84

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. See also: Caroline Lemieux’s slides for that NeurIPS talk, and Rohan Bavishi’s video from the RISE Summer Retreat 2019. Program Synthesis 101 ” – Alexander Vidiborskiy (2019-01-20). Model-Driven Data Queries.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Jet Global

MAY 28, 2019

In the business landscape of 2019, data is the only currency that matters. The dimensional model design of a data warehouse allows for the implementation of slowly changing dimensions, displaying the state of the various transactions and attributes exactly as they were at that point in time. Enhancing a Data Warehouse with Cubes.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85