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How BI Can Help Enterprises Overcome The Effects Of The Pandemic

Smart Data Collective

One of the main reasons for such a disruption may be the obsolescence of many traditional data management models; that’s why they have failed to predict the crisis and its consequences. Before the pandemic, enterprise managers lived in the illusion that all future events could be predicted. Insight analytics.

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What is Tableau Einstein?

Tableau

You’ll always see your data’s lineage with a clear and transparent view of where data comes from and how it’s processed. Plus, consistent business language applied to every data model helps everyone to understand the data’s context and make decisions with confidence. Excited to get your hands on Tableau Einstein?

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What Is Data Management and Why Is It Important?

Astera

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

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What is Data Modernization? Benefits, Importance & Components

Astera

After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. What is Data-First Modernization? It involves a series of steps to upgrade data, tools, and infrastructure.

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ETL, As We Know It, Is Dead

Astera

Add to that data velocity , variety , and veracity (the four Vs), and it becomes clear that conventional ETL needs to evolve to keep up with the data explosion. That’s where automated ETL comes in to modernize data management. Have a chat with us to see if your data is ready for automation.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations.