Smart Data Collective

JUNE 16, 2022

Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Online Analytical Processing (OLAP) is a term that refers to the process of analyzing data online. Using OLAP Tools Properly.

Online Analytical Processing 139

Online Analytical Processing OLAP Analytics Data Warehouse 139

CIO Business Intelligence

JANUARY 20, 2023

BI analysts use data analytics, data visualization, and data modeling techniques and technologies to identify trends. The role combines hard skills such as programming, data modeling, and statistics, with soft skills like communication, analytical thinking, and problem-solving.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. What About “Business Intelligence”? But on the whole, BI is more concerned with the whats and the hows than the whys.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Sisense

SEPTEMBER 3, 2019

First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). Analyze is a process that you can run in Redshift that will scan all of your tables, or a specified table, and gathers statistics about that table. So let’s dive in!

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

AWS Big Data

AUGUST 1, 2024

This is the most basic validation step to make sure no data has been lost or duplicated during the migration process. Column-level validation – Validate individual columns by comparing column-level statistics (min, max, count, sum, average) for each column between the source and target databases.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114

IBM Big Data Hub

SEPTEMBER 25, 2023

Extending the analytical capabilities and use cases of Presto To extend the analytical capabilities of Presto, Uber uses many out-of-the-box functions provided with the open source software. It can ingest data from offline batch data sources (such as Hadoop and flat files) as well as online data sources (such as Kafka).

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86