CIO

MARCH 9, 2022

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. Challenges of supporting multiple repository types. Pulling it all together.

Artificial Inteligence 178

Artificial Inteligence Data Artificial Intelligence Analytics 178

Altexsoft

AUGUST 21, 2019

Using specific tools and practices, businesses implement these methods to generate valuable insights. One of the most common ways how enterprises leverage data is business intelligence (BI), a set of practices and technologies that allow for transforming raw data into actionable information. Data warehouse architecture.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

APRIL 16, 2021

As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. A typical OLAP system will include the following components that perform dedicated functions to handle analytical queries: Data source.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

OCTOBER 3, 2019

The platform provides “ business intelligence, planning, and predictive capabilities within one product” and uses AI and ML. A provider maintains the platform and handles the storage of your data. Data warehouse developer models, develops, and maintains data storages. Generally, no development is required.

Analytics 16

Analytics Company Off-The-Shelf How To 16