Astera
APRIL 7, 2023
In the world of medical services, large volumes of healthcare data are generated every day. Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities.
Domo
DECEMBER 9, 2020
But how can you connect data from all the disparate systems in your stack without duplicating it—and still allow advanced transformations, permissioning, and writeback to your source systems? With Domo’s federated data model , you can query data from your existing data lakes and warehouses without moving or duplicating the data in Domo.
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Analysts Corner
OCTOBER 26, 2023
This data must be cleaned, transformed, and integrated to create a consistent and accurate view of the organization’s data. Data Storage: Once the data has been collected and integrated, it must be stored in a centralized repository, such as a data warehouse or a data lake.
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 Aspect Data Vault 1.0 Data Vault 2.0 Data Vault 2.0
Astera
JANUARY 12, 2024
A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.
Astera
MARCH 30, 2023
It is an integral aspect of data management within an organization as it enables the stakeholders to access and utilize relevant data sets for analysis, decision making, and other purposes. It involve multiple forms, depending on the requirements and objectives of stakeholders.
Astera
NOVEMBER 28, 2023
For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback. They can then transform that data into a unified format, and load it into a data warehouse. Facilitating Real-Time Analytics: Modern data pipelines allow businesses to analyze data as it is generated.
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