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Apache Kafka: A Metaphorical Introduction to Event Streaming for Data Scientists and Data Engineers

Analytics Vidhya

Overview Learn about viewing data as streams of immutable events in contrast to mutable containers Understand how Apache Kafka captures real-time data through event. The post Apache Kafka: A Metaphorical Introduction to Event Streaming for Data Scientists and Data Engineers appeared first on Analytics Vidhya.

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Data Abstraction for Data Engineering with its Different Levels

Analytics Vidhya

Introduction A data model is an abstraction of real-world events that we use to create, capture, and store data in a database that user applications require, omitting unnecessary details. The post Data Abstraction for Data Engineering with its Different Levels appeared first on Analytics Vidhya.

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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

Whether you’re a researcher, developer, startup founder, or simply an AI enthusiast, these events provide an opportunity to learn from the best, gain hands-on experience, and discover the future of AI. If youre serious about staying at the forefront of AI, development, and emerging tech, DeveloperWeek 2025 is a must-attend event.

Big Data 294
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Cybersecurity Lakehouse Best Practices Part 1: Event Timestamp Extraction

databricks

In this four-part blog series "Lessons learned from building Cybersecurity Lakehouses," we will discuss a number of challenges organizations face with data engineering.

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Top 9 AI conferences and events in USA – 2023

Data Science Dojo

AI conferences and events are organized to talk about the latest updates taking place, globally. Why must you attend AI conferences and events? Attending global AI-related virtual events and conferences isn’t just a box to check off; it’s a gateway to navigating through the dynamic currents of new technologies. billion by 2032.

AI 243
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Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

They allow data processing tasks to be distributed across multiple machines, enabling parallel processing and scalability. It involves various technologies and techniques that enable efficient data processing and retrieval. Stay tuned for an insightful exploration into the world of Big Data Engineering with Distributed Systems!

Big Data 195
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Exploring the Power of Microsoft Fabric: A Hands-On Guide with a Sales Use Case

Data Science Dojo

These experiences facilitate professionals from ingesting data from different sources into a unified environment and pipelining the ingestion, transformation, and processing of data to developing predictive models and analyzing the data by visualization in interactive BI reports. In the menu bar on the left, select Workspaces.

Power BI 337