Remove 2024 Remove Apache Kafka Remove Python
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Ask HN: Who wants to be hired? (July 2025)

Hacker News

dustanbower 7 minutes ago | next [–] Location: Virginia, United States Remote: Yes (have worked exclusively remotely for past 14 years) Willing to relocate: No I've been doing backend work for the past 14 years, with Python, Django, and Django REST Framework. Interested in Python work or full-stack with Python.

Python 56
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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. billion in 2024 , is expected to reach $325.01

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Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

Last Updated on February 29, 2024 by Editorial Team Author(s): Hira Akram Originally published on Towards AI. Within this article, we will explore the significance of these pipelines and utilise robust tools such as Apache Kafka and Spark to manage vast streams of data efficiently.

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7 Best Machine Learning Workflow and Pipeline Orchestration Tools 2024

DagsHub

Thanks to its various operators, it is integrated with Python, Spark, Bash, SQL, and more. Also, while it is not a streaming solution, we can still use it for such a purpose if combined with systems such as Apache Kafka. Basic Python knowledge is required for that; there is no need to learn other domain-specific languages.

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Top Big Data Interview Questions for 2025

Pickl AI

billion in 2024 and reach a staggering $924.39 What is Apache Kafka, and Why is it Used? Apache Kafka is a distributed messaging system that handles real-time data streaming for building scalable, fault-tolerant data pipelines. Yes, I used Apache Kafka to process real-time data streams.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

billion by 2031, growing at a CAGR of 25.55% during the forecast period from 2024 to 2031. million in 2024 and is projected to grow at a CAGR of 26.8% billion in 2024 to USD 774.00 during the forecast period from 2024 to 2032. The global data warehouse as a service market was valued at USD 9.06 from 2025 to 2030.

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Mastering Duplicate Data Management in Machine Learning for Optimal Model Performance

DagsHub

A simple python implementation is shown below. Below is a sample python code snippet demonstrating fuzzy matching using Levenshtein distance. Tools like Apache Kafka and Apache Flink can be configured for this purpose. So In effect, near-duplicates are reinforcing beneficial patterns into the model.