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What is Data Storage and How is it Used?

Analytics Vidhya

The complexity of information storage technologies increases exponentially with the growth of data. From physical hard drives to cloud computing, unravel the captivating world of data storage and recognize its ever-evolving role in our […] The post What is Data Storage and How is it Used?

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A Dive into the Basics of Big Data Storage with HDFS

Analytics Vidhya

It provides high-throughput access to data and is optimized for […] The post A Dive into the Basics of Big Data Storage with HDFS appeared first on Analytics Vidhya. It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers.

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Optimizing Data Storage: Exploring Data Types and Normalization in SQL

KDnuggets

Learn about the data types and normalization techniques in SQL, which will be very helpful for optimizing your data storage.

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From Oracle to Databases for AI: The Evolution of Data Storage

KDnuggets

From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.

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What Comes After HDF5? Seeking a Data Storage Format for Deep Learning

KDnuggets

In this article we are discussing that HDF5 is one of the most popular and reliable formats for non-tabular, numerical data. This article suggests what kind of ML native data format should be to truly serve the needs of modern data scientists. But this format is not optimized for deep learning work.

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ArangoDB: Fast, Scalable, and Multi-Model Data Storage with Jan Steeman and Jan Stücke - Episode 34

Data Engineering Podcast

How does the underlying engine store the data to allow for the different ways of viewing it? What are some of the benefits of multi-model data storage? For users who are accustomed to a relational engine, how do they need to adjust their approach to data modeling when working with Arango? How is ArangoDB constructed?

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How to reduce your Snowflake cost

Start Data Engineering

Analyze usage and optimize table data storage 3.2.1. Snowflake pricing and settings inheritance model 3. Strategies to reduce Snowflake cost 3.1. Quick wins by changing settings 3.1.1. Update warehouse settings 3.2. Identify expensive queries and optimize them 3.2.1.1. Identify expensive queries with query_history 3.2.1.2.