Remove 2025 Remove Apache Hadoop Remove Apache Kafka
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A Comprehensive Guide to the main components of Big Data

Pickl AI

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Data processing frameworks, such as Apache Hadoop and Apache Spark, are essential for managing and analysing large datasets.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Data processing frameworks, such as Apache Hadoop and Apache Spark, are essential for managing and analysing large datasets.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

from 2025 to 2030. Several tools and technologies are commonly used to manage data pipelines: Apache Airflow: This open-source platform allows users to author, schedule, and monitor workflows programmatically. Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage.