Dataconomy

JUNE 19, 2025

Importance of data processing in modern context Data processing plays a critical role in data analytics, serving as a cornerstone for extracting valuable insights from complex datasets. It greatly impacts business intelligence by enabling organizations to convert data into knowledge that informs strategy and decision-making.

Database 91

Database Data Lakes Analytics Analytics 91

Smart Data Collective

AUGUST 17, 2022

A hybrid cloud system is a cloud deployment model combining different cloud types, using both an on-premise hardware solution and a public cloud. Amazon’s AWS Glue is one such tool that allows you to consume data from Apache Kafka and Amazon-managed streaming for Apache Kafka (MSK).

Apache Kafka 130

Apache Kafka ETL Data Lakes AWS 130

Dataversity

JANUARY 25, 2023

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

Data Warehouse 52

Data Warehouse Data Lakes Cloud Computing Data Pipeline 52

ODSC - Open Data Science

NOVEMBER 19, 2024

Dimensional Data Modeling in the Modern Era by Dustin Dorsey Slides Dustin Dorsey’s AI slides explored the evolution of dimensional data modeling, a staple in data warehousing and business intelligence.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

IBM Journey to AI blog

DECEMBER 7, 2023

Security and compliance : Ensuring data security and compliance with regulatory requirements in the cloud environment can be complex. Skills and expertise : Transitioning to cloud-based OLAP may require specialized skills and expertise in cloud computing and OLAP technologies.

Data Preparation 72

Data Preparation Database Data Analysis Data Analysis 72

Precisely

JANUARY 25, 2024

Many organizations adopt a long-term approach, leveraging the relative strengths of both mainframe and cloud systems. This integrated strategy keeps a wide range of IT options open, blending the reliability of mainframes with the innovation of cloud computing. Let’s examine each of these patterns in greater detail.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Data warehousing is a vital constituent of any business intelligence operation.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52