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The Rise of Unstructured Data

Cloudera

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing. And data moves around.

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Big Data vs Data Mining

Knowledge Hut

Big data and data mining are neighboring fields of study that analyze data and obtain actionable insights from expansive information sources. Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions.

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3 Use Cases for Generative AI Agents

DareData

At DareData Engineering, we believe in a human-centric approach, where AI agents work together with humans to achieve faster and more efficient results. At its core, RAG harnesses the power of large language models and vector databases to augment pre-trained models (such as GPT 3.5 ).

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Data Engineering Weekly #161

Data Engineering Weekly

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

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?Data Engineer vs Machine Learning Engineer: What to Choose?

Knowledge Hut

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions. Facial reorganization, social media optimization, etc.

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Experts Share the 5 Pillars Transforming Data & AI in 2024

Monte Carlo

Predicting the future of data and AI in 2024 is not for the faint of heart. Read on to hear their predictions for the 5 pillars the industry will be built on in 2024, and their recommendations for how data teams can maximize AI’s current capabilities in the short-term — while laying the groundwork for long-term transformation.