Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. Big data and data warehousing.

Data Warehouse 335

Data Warehouse Big Data Business Intelligence Business Intelligence 335

Astera

MAY 9, 2023

Automated data processing solutions, such as computer software programming, play a significant role in this. It can help turn large amounts of data, including big data, into meaningful insights for quality management and decision-making. Data engineers also refer to this as parallel processing.

Data Warehouse 52

Data Warehouse Big Data Innovation Artificial Intelligence 52

Astera

NOVEMBER 30, 2023

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 What’s New in Data Vault 2.0? Data Vault 2.0 Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

APRIL 27, 2023

The modern data stack (MDS) is a collection of tools for data integration that enable organizations to collect, process, store and analyze data. Being based on a well-integrated cloud platform, modern data stack offers scalability, efficiency, and proficiency in data handling.

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52

BizAcuity

MAY 10, 2022

History and innovations in recent times. Cloud technology and innovation drives data-driven decision making culture in any organization. It is the epitome of modern technology right now with multi-dimensional innovations shaping every layer. What’s so special about the Cloud? The rest is history.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Data Pine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. A working understanding of cloud computing and data visualization. The ability to innovate with computer science-centric competencies. Business Intelligence Job Roles. BI developer. BI consultant.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95