Remove Interactive Remove Modeling Remove Online Analytical Processing Remove Optimization
article thumbnail

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

They should also provide optimal performance with low or no tuning. Consumption This pillar consists of various consumption channels for enterprise analytical needs. This service is the core of this reference architecture on AWS and can address most analytical needs out of the box.

article thumbnail

The Future of AI in the Enterprise

Jet Global

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What Role Does Data Mining Play for Business Intelligence?

Jet Global

Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective.

article thumbnail

The Future of AI in the Enterprise

Jet Global

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.

article thumbnail

Business Intelligence Solutions: Every Thing You Need to Know

FineReport

Business intelligence can assist decision-making and operation optimization, either at the operational or tactical, or strategic levels. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Predictive analytics and modeling.

article thumbnail

Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

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.

article thumbnail

Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

Uber’s DNA as an analytics company At its core, Uber’s business model is deceptively simple: connect a customer at point A to their destination at point B. Presto was able to achieve this level of scalability by completely separating analytical compute from data storage. But the simplicity ends there. What is Presto?

OLAP 87