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How to Normalize Relational Databases With SQL Code?

Analytics Vidhya

The database is the major element of a data science project. To generate actionable insights, the database must be centralized and organized efficiently. If a corrupted, unorganized, or redundant database is used, the results of the analysis may become inconsistent and highly misleading. appeared first on Analytics Vidhya.

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Designing A Non-Relational Database Engine

Data Engineering Podcast

Summary Databases come in a variety of formats for different use cases. The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. Can you describe what constitutes a NoSQL database? When is a NoSQL database/RavenDB the wrong choice?

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Understanding the Basics of Database Normalization

Analytics Vidhya

Introduction Data normalization is the process of building a database according to what is known as a canonical form, where the final product is a relational database with no data redundancy. More specifically, normalization involves organizing data according to attributes assigned as part of a larger data model.

Database 221
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Introduction to Databases in Data Science

KDnuggets

Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.

Database 113
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Readings in Streaming Database Systems

Confluent

What will the next important category of databases look like? For decades, relational databases were the undisputed home of data. They powered everything: from websites to analytics, from customer data […].

Database 121
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Free SQL and Database Course

KDnuggets

Get up to speed on SQL and relational databases with this free video course.

SQL 146
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Building Pinterest’s new wide column database using RocksDB

Pinterest Engineering

While KVStore was the client facing abstraction, we also built a storage service called Rockstorewidecolumn : a wide column, schemaless NoSQL database built using RocksDB. Additionally, the last section explains how this new database supports a key platform in the product. All names, addresses, phone numbers are illustrative/not real.