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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

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Navigating the Big Data Frontier: A Guide to Efficient Handling

Women in Big Data

The success of any data initiative hinges on the robustness and flexibility of its big data pipeline. What is a Data Pipeline? A traditional data pipeline is a structured process that begins with gathering data from various sources and loading it into a data warehouse or data lake.

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Did Big Data Deliver Business Transformation & Improved CX?

Alation

Yet the question remains: How much value have organizations derived from big data? In this article, we’ll take stock of what big data has achieved from a c-suite perspective (with special attention to business transformation and customer experience.). Big Data as an Enabler of Digital Transformation.

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Pictures and Highlights from ODSC Europe 2023

ODSC - Open Data Science

Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels! Subscribe to our weekly newsletter here and receive the latest news every Thursday.

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Watch the Top ODSC Europe 2023 Virtual Sessions Here

ODSC - Open Data Science

Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels! The session participants will learn the theory behind compound sparsity, state-of-the-art techniques, and how to apply it in practice using the Neural Magic platform.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

The global Big Data and Data Engineering Services market, valued at USD 51,761.6 This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field. million by 2028.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Managing unstructured data is essential for the success of machine learning (ML) projects. Without structure, data is difficult to analyze and extracting meaningful insights and patterns is challenging. This article will discuss managing unstructured data for AI and ML projects. How to properly manage unstructured data.