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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.

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GPT and LLMs from a Data Engineering Perspective

Jesse Anderson

The metric I use for technology adoption is, what would people say if it were to disappear tomorrow? I think LLMs will allow the majority to get stupider, like in Idiocracy , while a gradually decreasing population will benefit and exploit AI (and technology in general). Using LLMs to process unstructured data is amazing.

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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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Hottest IT Certifications of 2015- NoSQL Databases (MongoDB Certification)

ProjectPro

The only thing that is not constant with technology is change. MongoDB is one of the hottest IT tech skills in demand with big data and cloud proliferating the market. A recent survey conducted by Dice estimates that salaries for employees who use Hadoop and NoSQL are more than $100,000.This

NoSQL 40
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Hive vs.HBase–Different Technologies that work Better Together

ProjectPro

HBase and Hive are two hadoop based big data technologies that serve different purposes. billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend?

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

The concept of Big Data isn’t new: It has been the desired fruit for several decades already as the capabilities of software and hardware have made it possible for companies to successfully manage vast amounts of complex data. To make sense of the huge amounts of data, there are several techniques and practices. NoSQL databases.

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CloudBank’s Journey from Mainframe to Streaming with Confluent Cloud

Confluent

Different data problems have arisen in the last two decades, and we ought to address them with the appropriate technology. We need something that can handle large amounts of data, something that can handle unstructured data coming from logs and social media, and data in their native form. CTO of CloudBank.

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