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Decoding the Data Science Ecosystem with Vikas Agrawal

Analytics Vidhya

Vikas Agrawal, Senior Principal Data Scientist at Oracle Analytics Cloud. In this Leading with Data session, he shares insights on problem-solving in data science, MLops, and the impact of generative AI on enterprise solutions.

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Exploring Udemy Courses Trends Using Google Big Query

Analytics Vidhya

Introduction Google Big Query is a secure, accessible, fully-manage, pay-as-you-go, server-less, multi-cloud data warehouse Platform as a Service (PaaS) service provided by Google Cloud Platform that helps to generate useful insights from big data that will help business stakeholders in effective decision-making.

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Most Frequently Asked Data Warehouse Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Organizations are turning to cloud-based technology for efficient data collecting, reporting, and analysis in today’s fast-changing business environment. Data and analytics have become critical for firms to remain competitive.

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AWS Storage: Cost Optimization Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data is the most crucial aspect contributing to the business’s success. Organizations are collecting data at an alarming pace to analyze and derive insights for business enhancements.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.

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An Introduction to the Basics of Cloud Analytics

Analytics Vidhya

Introduction According to Wikipedia, Cloud analytics constitute a set of technological and analytical tools and techniques housed in a cloud that are specifically designed to help users derive information, carry out analysis from massive data, and make it available on the internet to derive actionable business insights.

Analytics 218
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Top 11 Azure Data Services Interview Questions in 2023

Analytics Vidhya

Introduction In today’s world, data is growing exponentially with time with digitalization. Organizations are using various cloud platforms like Azure, GCP, etc., to store and analyze this data to get valuable business insights from it.

Analytics 274
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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.