Data Pine
MAY 9, 2019
Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. They enable powerful data visualization. 1) The raw data.
Astera
APRIL 28, 2023
Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Smart Data Modeling Another trend in data warehousing is the use of AI-powered tools for smart data modeling.
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Astera
OCTOBER 27, 2023
What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.
Smart Data Collective
OCTOBER 17, 2022
A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.
Astera
JANUARY 2, 2024
Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.
Data Pine
OCTOBER 25, 2022
This growth brings a wealth of insight, and if you’re BI-savvy, you’ll be able to squeeze every single drop of value from the mobile data available at your fingertips. Expanding on our previous point, presently, 42% of companies plan to deploy mobile-based BI as part of their growth strategy. click for book source**.
Astera
DECEMBER 16, 2022
Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data. A significant aspect of a well-planned data management strategy involves knowing your organization’s data sources and where the business data resides.
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