Sun.Sep 26, 2021

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How To Create Dummy Data In Python Using Faker Package

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Dummy data is needed for a variety of purposes. Finding the required data in a specific format can be difficult. This article explores the different ways of creating the dummy data using the Faker package in Python. Topics covered in this article are as […]. The post How To Create Dummy Data In Python Using Faker Package appeared first on Analytics Vidhya.

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Best Practices for Leveraging Orphan Data in Your Analytical Ecosystem

Teradata

Businesses struggle to manage orphan data -- data not maintained by traditional transaction systems. Learn what your company can do to turn orphan data challenges into competitive advantages.

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A Few Proven Suggestions for Handling Large Data Sets

Smart Data Collective

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. Data mining and knowledge go hand in hand, providing insightful information to create applications that can make predictions, identify patterns, and, last but not least, facilitate decision-making.