Smart Data Collective
SEPTEMBER 8, 2021
The ETL process is defined as the movement of data from its source to destination storage (typically a Data Warehouse) for future use in reports and analyzes. The data is initially extracted from a vast array of sources before transforming and converting it to a specific format based on business requirements.
BizAcuity
AUGUST 1, 2022
Boris Evelson, principal analyst at Forrester Research pointed out that while Jaspersoft may not match the likes of Oracle, Microsoft, or IBM, feature for feature. Good: Self-service capability, ability to work with big data, users can build their own data mart or warehouse. Ad Hoc Reporting. At A Glance.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Domo
JANUARY 7, 2025
You can breathe easy knowing that your data is secure and will never be exposed to third parties, regardless of which AI models you use. We need to start where every great AI solution begins: data. With over 1,000 pre-built connectors, Domos data foundation makes it easy to tap into your data wherever it lives.
BizAcuity
MAY 10, 2022
IBM had introduced the concept of Virtual Machines (VMs) almost a decade before the birth of the internet. They also prioritize developing multiple internet services. 2005: Microsoft passes internal memo to find solutions that could let users access their services through the internet. The evolution of Cloud Computing.
Analysts Corner
JUNE 18, 2023
ETL: Extract, Transform, Load ETL is a data integration process that involves extracting data from various sources, transforming it into a consistent and standardized format, and then loading it into a target data store, such as a data warehouse. ETL and ELT: Understanding the Basics 1.1
BI Insight
MARCH 31, 2022
The term Business Intelligence as we know it today was coined by an IBM computer science researcher, … Continue reading Business Intelligence Components and How They Relate to Power BI. When I decided to write this blog post, I thought it would be a good idea to learn a bit about the history of Business Intelligence.
Astera
DECEMBER 22, 2022
Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Best Practices to Build Your Data Warehouse .
Expert insights. Personalized for you.
316 
Let's personalize your content