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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Big Data Analytics News has hailed big data as the future of the translation industry. You might use predictive analysis-based data that can help you analyse buying trends or look at how the business might perform in a range of new markets. It’s important to build translation considerations into your big data strategy.

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Data Science vs Data Analytics: Key Differences

Astera

Data Science Process Business Objective: This is where you start. You define the business objectives, assess the situation, determine the data science goals, and plan the project. It involves visualizing the data using plots and charts to identify patterns, trends, and relationships between variables.

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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. 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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Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing

Astera

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

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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. We can even support deployments for many healthcare customers with unique data privacy needs helping with HIPAA compliance.

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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. We can even support deployments for many healthcare customers with unique data privacy needs helping with HIPAA compliance. .

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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?