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Building Data Warehouse Using Google Big Query

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Data Warehouse In today’s data-driven age, a large amount of data gets generated daily from various sources such as emails, e-commerce websites, healthcare, supply chain and logistics, transaction processing systems, etc.

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Who are Citizen Data Scientists and What Do they Do?

Analytics Vidhya

Introduction In today’s data-driven world, the role of data scientists has become indispensable. in data science to unravel the mysteries hidden within vast data sets? But what if I told you that you don’t need a Ph.D.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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Getting Started with Google Big Query

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In today’s data-driven age, an enormous amount of data is getting generated every day from various sources such as social media, e-commerce websites, stock exchanges, transaction processing systems, emails, medical records, etc.

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All About Data Pipeline and Its Components

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the development of data-driven applications, the complexity of integrating data from multiple simple decision-making sources is often considered a significant challenge.

IT 221
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Deploy and Optimize Your Snowflake Environment Faster With Accelerators

CDW Research Hub

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. Sirius has created a lightweight development tool to rapidly build and deploy best-practice data models.

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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.