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billion by 2030, reflecting a robust compound annual growth rate (CAGR) of about 11.56% from 2023 to 2030. It manipulates data using SQL (Structured Query Language). It offers high performance and supports SQL queries, making it a modern solution for large-scale applications.
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 ApacheKafka stand out for their unique capabilities and widespread usage.
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