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Vector Databases vs Relational Databases: Which ONE is RIGHT for YOU?
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With the popularity of Generative AI, there is a requirement for efficient storage and processing of high-dimensional data such as text, audio, video or images.
These high-dimensional data are sparse and retrieving information becomes a challenging task
Vector databases, a specialized type of database, optimized for similarity searches enable efficient processing of high-dimensional data and manages them in the form of vectors
Learn more about vector databases and how are they different from traditional relational databases
References:
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Why learn from datahat??
"Datahat is a bridge"
learners --- professionals by simplified data science
It provides a platform to learn, create and collaborate helping in the #career #transition to data science, machine learning and data analysis
Understand the broad domain of data science and its related subdomains in machine learning, data analysis, data engineering in a self paced, #structured and #guided learning
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Additionally, here are few more useful resources for beginners and curious data enthusiasts
Remember, "the greatest investment ever made is investment in self growth and learning"
These high-dimensional data are sparse and retrieving information becomes a challenging task
Vector databases, a specialized type of database, optimized for similarity searches enable efficient processing of high-dimensional data and manages them in the form of vectors
Learn more about vector databases and how are they different from traditional relational databases
References:
If you find the content useful, make sure to give it a THUMBS UP :)
------------------------------------------------------------------------------------------------------------
Why learn #datascience ??
"Data Science is the sexiest job of 21st century"
If you are a #btech student, #diploma in #computerscience, #graduate looking to #career #transition into #datascience , #machinelearning, #dataanalysis, this is a place for you
Everyone of us use social media platforms such as instagram, facebook, or binge watch on OTT platforms such as #youtube , netflix, prime, hotstar or window shop on e-commerce sites such as amazon, flipkart, myntra
It certainly amazes us to see the products of our choice and interest being #recommended to us, our favorite shows being filtered among millions of others
However, not many get to understand how it works. Not to worry, we shall help you understand the concepts in a #simplified and #concise fashion, helping in career transition into machine learning or data science
--------------------------------------------------------------------------------------------------------------------------------------
Why learn from datahat??
"Datahat is a bridge"
learners --- professionals by simplified data science
It provides a platform to learn, create and collaborate helping in the #career #transition to data science, machine learning and data analysis
Understand the broad domain of data science and its related subdomains in machine learning, data analysis, data engineering in a self paced, #structured and #guided learning
--------------------------------------------------------------------------------------------------------------------------------------
Additionally, here are few more useful resources for beginners and curious data enthusiasts
Remember, "the greatest investment ever made is investment in self growth and learning"