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HBase vs Cassandra-The Battle of the Best NoSQL Databases

ProjectPro

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies.

NoSQL 52
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The fancy data stack—batch version

Christophe Blefari

Summer Edition ( credits ) This is the first article of the Data News Summer Edition: how to build a data platform. The modern data stack has been criticised a lot, a few are saying it's dead other are saying we are in the post-modern era. So I thought it was the perfect data to build a data platform.

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NoSQL vs SQL- 4 Reasons Why NoSQL is better for Big Data applications

ProjectPro

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.

NoSQL 49
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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

A loose schema allows for some data structure flexibility while maintaining a general organization. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. You can’t just keep it in SQL databases, unlike structured data.

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Types of Databases

Grouparoo

For data storage, the database is one of the fundamental building blocks. They provide a method for storing information in an organized manner that ensures it remains accessible while providing the mechanisms to protect the integrity, confidentiality, and availability of the information they hold.

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5 Layers of Data Lakehouse Architecture Explained

Monte Carlo

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

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Data Lakehouse Architecture Explained: 5 Layers

Monte Carlo

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.