Data Governance Data Management Data Modelling Visualization 
Tableau
OCTOBER 14, 2021
Typically, enterprises face governance challenges like these: Disconnected data silos and legacy tools make it hard for people to find and securely access the data they need for making decisions quickly and confidently. Let’s start with how governance helps employees use data responsibly. .
Tableau
OCTOBER 14, 2021
Typically, enterprises face governance challenges like these: Disconnected data silos and legacy tools make it hard for people to find and securely access the data they need for making decisions quickly and confidently. Let’s start with how governance helps employees use data responsibly. .
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Astera
FEBRUARY 28, 2024
In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. However, the ideal data modeling technique for your data warehouse might differ based on your requirements.
Astera
JANUARY 18, 2024
As far as the destinations are concerned, Fivetran supports data warehouses and databases, but it doesn’t support most data lakes. It also offers limited data transformation capabilities and that too through dbt core, which is an open source tool. You can easily design and orchestrate complex workflows.
Astera
JANUARY 23, 2024
Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.
Astera
FEBRUARY 1, 2024
Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?
Astera
JANUARY 25, 2024
ETL Vs Reverse ETL Aspect ETL Reverse ETL Purpose Aggregates and organizes data from various sources for analytical processing. Guide to the Workflow of Reverse ETL There are four main aspects to reverse ETL: Data Source: It refers to the origin of data, like a website or a mobile app.
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