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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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How data engineers tame Big Data?

Dataconomy

Data engineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. What is data engineering?

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

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Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

ML models make predictions given a set of input data known as features , and data scientists easily spend more than 60% of their time designing and building these features. Apache Flink is a popular framework and engine for processing data streams.

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The Backbone of Data Engineering: 5 Key Architectural Patterns Explained

Mlearning.ai

Data engineering is a rapidly growing field that designs and develops systems that process and manage large amounts of data. There are various architectural design patterns in data engineering that are used to solve different data-related problems.

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Why Software Engineers Should Be Embracing AI: A Guide to Staying Ahead

ODSC - Open Data Science

Confirmed sessions related to software engineering include: Building Data Contracts with Open-Source Tools Chronon — Open Source Data Platform for AI/ML Creating APIs That Data Scientists Will Love with FastAPI, SQLAlchemy, and Pydantic Using APIs in Data Science Without Breaking Anything Don’t Go Over the Deep End: Building an Effective OSS Management (..)

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

Technologies like Apache Kafka, often used in modern CDPs, use log-based approaches to stream customer events between systems in real-time. Activity Schema Processing : To capture and process customer activities, you might use a stream processing technology like Apache Kafka or Apache Flink.