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Introduction to NoSQL

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

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4 hours15 videos59 exercises
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Course Description

In recent years, NoSQL databases have seen a surge in popularity due to their ability to handle large volumes of unstructured data. Learning to leverage NoSQL tools such as column-oriented, document, key-value, and graph databases allows data engineers, analysts, and scientists to interact with a wider breadth of data. These NoSQL databases bring additional functionality to data storage and retrieval that isn’t available in traditional relational databases.

Column-oriented databases

Dive into the world of column-oriented databases and their role in the evolution of data warehouses. Practice working with Snowflake to create and update column-oriented tables, as well as optimize table design for performance. Explore Snowflake’s advanced functionality to work with semi-structured data.

Document databases

Learn to use Postgres JSON as a tool to query document and object-oriented databases and the variety of data types that this technology supports. Hone your skills working with data stored in an array, as well as nested data.

Key-value and graph databases

Grow comfortable working with key-value databases and learn when this NoSQL data store is best applied. Practice using Redis to load and query data and experience the lightning-fast performance of in-memory databases. Explore graph databases and their use cases in data workflows.
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In the following Tracks

Professional Data Engineer in Python

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  1. 1

    Introduction to NoSQL databases

    Free

    Explore the basics of NoSQL databases, and how they're used in a modern data architecture. Learn to identify the pros and cons of using column-oriented, document, key-value, and graph databases to make data available to downstream processes and data consumers.

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    Introduction to NoSQL
    50 xp
    Querying NoSQL databases
    100 xp
    Exploring document data
    50 xp
    NoSQL use-cases and applications
    50 xp
    Tabular NoSQL data stores
    50 xp
    Column-oriented databases
    50 xp
    Querying a column-oriented database
    100 xp
    Filtering a column-oriented database
    100 xp
    Non-tabular NoSQL data stores
    50 xp
    Identifying tabular and non-tabular NoSQL data stores
    100 xp
    Querying document databases
    100 xp
    Querying nested documents with Postgres JSON
    100 xp
  2. 4

    Key-value and Graph Databases

    Take your NoSQL skills to the next level by mastering the fundamentals of key-value databases. Explore common use-cases for key-value data, and learn how to use Redis and Python to read and write data. Wrap up with a basic overview of graph databases, and their place in the modern data stack.

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George Boorman
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Arne Warnke
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Katerina Zahradova

prerequisites

Database Design
Jake Roach HeadshotJake Roach

Data Engineer

Jake Roach is a Field Data Engineer at Astronomer and DataCamp Instructor. A former Lead Data Engineer, Jake built a a state-of-the-art data platform for a multi-billion dollar organization, powered by Astronomer, Airflow, AWS, and Databricks. His passion for all things data engineering is contagious. Jake loves to write tutorials, teach DataCamp courses, and contribute to open source. Born and raised in Buffalo, NY, when he's not working with data, you can find him out at the golf course playing a quick nine holes before dark!
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