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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Big data architecture lays out the technical specifics of processing and analyzing larger amounts of data than traditional database systems can handle. According to the Microsoft documentation page, big data usually helps business intelligence with many objectives. That’s the data source part of the big data architecture.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

With no need to move data to in-memory storage, you can connect to and analyze data wherever it lives, taking full advantage of Google Cloud’s computing capacity—and providing an end-to-end analytics solution. Combining and analyzing Shopify and Google Analytics data helped eco-friendly retailer Koh improve customer retention by 25%.

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Data Modeling: Techniques, Best Practices, & Why It Matters?

Astera

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?

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

With no need to move data to in-memory storage, you can connect to and analyze data wherever it lives, taking full advantage of Google Cloud’s computing capacity—and providing an end-to-end analytics solution. Combining and analyzing Shopify and Google Analytics data helped eco-friendly retailer Koh improve customer retention by 25%.

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Analyzing Data from Multiple Sources: The Key to More Powerful Insights

Sisense

Since those early days, Measuremen has broadened its data sources. The app not only documents utilization data, but allows users to add subjective inputs such as personal preferences. The power of vast, varied data sources isn’t constrained to any segment of the economy.

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.

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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