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Top 10+ Applications of Data Science in E-commerce for 2024

Knowledge Hut

Every time someone uses the internet, more data is added. We need assistance from various Data Science methodologies to make sense of this enormous amount of data and use it for the company's objectives, etc. E-commerce is one industry that most uses data science and machine learning techniques.

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Machine Learning in Insurance: Applications, Use Cases, and Projects

ProjectPro

Read this blog to learn more about how the insurance industry benefits from implementing AI and ML solutions, which highlights the most practical applications and real-world use cases of machine learning in insurance and how it brings a new level of precision and effciency to the industry.

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Google BigQuery: A Game-Changing Data Warehousing Solution

ProjectPro

This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. What is Google BigQuery Used for? Users can also use the BigQuery web UI to run queries, load data, stream data, etc. What is Google BigQuery Used for?

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Power BI vs Tableau: Which Data Visualization Tool is Right for You?

Knowledge Hut

As we explore the pasts and ways that Power BI and Tableau work, it'll help us understand what makes these tools special. If you are an expert in working with data or a beginner excited to use visualization, this blog will help you understand the differences between power bi and tableau. Utilizing Power BI is simple.

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New Snowflake Features Released in March 2023

Snowflake

See the Snowflake documentation for more info and get started today using the Quickstart Guide. Python Worksheets Try Snowpark for Python within Snowflake – public preview Python developers have always had flexibility in terms of which IDE/notebook to use; just install the Snowpark client API and connect to a Snowflake account.

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50 PySpark Interview Questions and Answers For 2023

ProjectPro

PySpark has exploded in popularity in recent years, and many businesses are capitalizing on its advantages by producing plenty of employment opportunities for PySpark professionals. It's easier to use Python's expressiveness to modify data in tabular format, thanks to PySpark's DataFrame API architecture. billion by 2026.

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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits. Table of Contents Core Data Observability Use Cases 1.

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