Remove Data Lakes Remove Internet of Things Remove Natural Language Processing
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Data Engineering for IoT Applications: Unleashing the Power of the Internet of Things

Data Science Connect

As the Internet of Things (IoT) continues to revolutionize industries and shape the future, data scientists play a crucial role in unlocking its full potential. A recent article on Analytics Insight explores the critical aspect of data engineering for IoT applications.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Text analytics: Text analytics, also known as text mining, deals with unstructured text data, such as customer reviews, social media comments, or documents. It uses natural language processing (NLP) techniques to extract valuable insights from textual data. Ensure that data is clean, consistent, and up-to-date.

Analytics 203
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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning Blog

ML operationalization summary As defined in the post MLOps foundation roadmap for enterprises with Amazon SageMaker , ML and operations (MLOps) is the combination of people, processes, and technology to productionize machine learning (ML) solutions efficiently. The following figure illustrates the key steps.

AI 128
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A Comprehensive Guide to the main components of Big Data

Pickl AI

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets.

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Why Unstructured Data Is Sorting Itself Out

Flipboard

Unstructured data, therefore, includes non-tabular data spanning records of phone calls and voicemails, it is raw video that has yet to get meta-tagged to explain its contents, it is blogs and web pages, it’s emails and also social media posts in all their forms.

Big Data 129