FineReport

MAY 13, 2020

The biggest cons of the Tableau Public is that any data used in the program is ‘public’ and therefore not secure. And, with Tableau Public, published workbooks are “disconnected” from the underlying data sources and require periodic updates when the data changes. From Google. From Google.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

FineReport

AUGUST 14, 2020

The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc. The data analysis part is responsible for extracting data from the data warehouse, using the query, OLAP, data mining to analyze data, and forming the data conclusion with data visualization.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

FineReport

FEBRUARY 28, 2020

Then the reporting engine publishes these reports to the reporting portal to allow non-technical end-users access. In this way, users can gain insights from the data and make data-driven decisions. . The underlying data is responsible for data management, including data collection, ETL, building a data warehouse, etc.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

AWS Big Data

AUGUST 1, 2024

The data warehouse is highly business critical with minimal allowable downtime. 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.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Quickly link all your data from Amazon Redshift, MongoDB, Hadoop, Snowflake, Apache Solr, Elasticsearch, Impala, and more. Standalone is a thing of the past.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52