Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. Data entities are more secure and arguably easier to master than the relational database model, but one downside is there are lots of them!

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. This service is the core of this reference architecture on AWS and can address most analytical needs out of the box.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

CIO Business Intelligence

JANUARY 20, 2023

BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Network latency : Geographic distances between data and users can introduce latency issues, affecting query performance.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. Lastly, it’s billed in a pay-for-what-you-use model, and provisioning is straightforward and quick.

Big Data 71

Big Data Data Warehouse Advertising OLAP 71

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. To house our data, we need to define a data model.

Data Warehouse 83

Data Warehouse Data Lake OLAP Cost-Benefit 83