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11 Open-Source Data Engineering Tools Every Pro Should Use

ODSC - Open Data Science

Spark offers a versatile range of functionalities, from batch processing to stream processing, making it a comprehensive solution for complex data challenges. Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

APIs Understanding how to interact with Application Programming Interfaces (APIs) to gather data from external sources. Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Once data is collected, it needs to be stored efficiently.

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Predicting the Future of Data Science

Pickl AI

Real-Time Data Processing The demand for real-time analytics is growing as businesses seek immediate insights to drive decision-making. Apache Kafka), organisations can now analyse vast amounts of data as it is generated. Master Data Visualization Techniques Data visualization is key to effectively communicating insights.

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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. offers Data Science courses covering essential data tools with a job guarantee. It integrates well with various data sources, making analysis easier.