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Using Docker to Create a Cassandra Cluster

Analytics Vidhya

It is seen that RDBMS(Relational DataBase Management System) does not offer an optimal solution for handling huge volumes […]. The post Using Docker to Create a Cassandra Cluster appeared first on Analytics Vidhya. Introduction In the Big Data space, companies like Amazon, Twitter, Facebook, Google, etc.,

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Traditional vs Vector databases: Your guide to make the right choice

Data Science Dojo

With the rapidly evolving technological world, businesses are constantly contemplating the debate of traditional vs vector databases. Hence, databases are important for strategic data handling and enhanced operational efficiency. Hence, databases are important for strategic data handling and enhanced operational efficiency.

Database 370
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Healthcare revolution: Vector databases for patient similarity search and precision diagnosis

Data Science Dojo

Traditional hea l t h c a r e databases struggle to grasp the complex relationships between patients and their clinical histories. Vector databases are revolutionizing healthcare data management. That’s where vector databases come in handy—they are made on purpose to handle this special kind of data.

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Amazon Aurora Limitless Database

Hacker News

Today, we are announcing the preview of Amazon Aurora Limitless Database, a new capability supporting automated horizontal scaling to process millions of write transactions per second and manage petabytes of data in a single Aurora database.

Database 181
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Top vector databases in market

Data Science Dojo

A vector database is a type of database that stores data as high-dimensional vectors. One way to think about a vector database is as a way of storing and organizing data that is similar to how the human brain stores and organizes memories. Pinecone is a vector database that is designed for machine learning applications.

Database 195
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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

Flipboard

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

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AWS Redshift: Cloud Data Warehouse Service

Analytics Vidhya

Introduction Amazon’s Redshift Database is a cloud-based large data warehousing solution. Companies may store petabytes of data in easy-to-access “clusters” that can be searched in parallel using the platform’s storage system. This article was published as a part of the Data Science Blogathon.