How to connect MongoDB database with Django
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Let’s consider a scenario where you are working on a …
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NoSQL
SQL vs NoSQL Databases – A Key Concept Every Data Engineer Should Know
ArticleVideo Book Overview Understand what SQL and NoSQL databases are. Go through the prominent difference between SQL and No SQL Databases. This is not …
5 Popular NoSQL Databases Every Data Science Professional Should Know About
ArticleVideo Book Overview NoSQL databases are ubiquitous in the industry – a data scientist is expected to be familiar with these databases Here, we …
Learning Database for Data Science Tutorial – Perform MongoDB Indexing using PyMongo
ArticleVideo Book Overview Indexing is MongoDB – a key aspect to managing and executing your database queries efficiently in data science Learn how indexing …
How to Create Aggregation Pipelines in a MongoDB Database Using PyMongo
ArticleVideo Book Overview We will discuss aggregation pipelines in MongoDB. We will see how to use the operator like the match, group, bucket, and …
A Beginner’s Guide to CAP Theorem for Data Engineering
ArticleVideo Book Overview What is the CAP Theorem? How does it work? Understanding CP with MongoDB and AP with Cassandra Introduction We have …
MongoDB in Python Tutorial for Beginners (using PyMongo)
ArticleVideo Book Overview MongoDB is a popular unstructured database that data scientists should be aware of We will discuss how you can work with …
Getting Mongo-ed in NoSQL manager, R & Python
ArticleVideo Book Introduction I started my journey on Analytics Vidhya (AV) as a follower. AV, and now especially the discussion portal, always stay open …
All out beginner’s guide to MongoDB
ArticleVideo Book Introduction Necessity is the mother of innovation! This is an old proverb, but it still holds damn good! Last decade has pushed …
Data Science trends 2015 to help you plan your learning!
ArticleVideo Book 2014 is coming to an end shortly. What a glorious year it has been for technology and data science! Constant change, better …
