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Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

Data volume continues to soar, growing at an annual rate of 19.2%. This means organizations must look for ways to efficiently manage and leverage this wealth of information for valuable insights. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. What are Information Marts?

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Build Data Warehouse with Concentrated Teams

Astera

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Migrate to Cloud-based data architecture.

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Data Science vs Data Analytics: Key Differences

Astera

It helps you systematically leverage statistical and quantitative techniques to process data and make informed decisions. The primary goal of data analytics is to analyze historical data to answer specific business questions, identify patterns, trends, and insights, and help businesses make informed decisions.

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6 Benefits of Adopting a Cloud Data Warehouse for Your Organization

Astera

Fortunately for forward-thinking organizations, cloud data warehousing solves many of these problems and makes leveraging insights quick and easy. This blog post will give you all the information you need about cloud data warehousing and its benefit for your business. What is a Cloud Data Warehouse?

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What Is Embedded Analytics?

Insight Software

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Who Uses Embedded Analytics?