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Job Resume TemplateLatest version Flink SQL release on January 4, 2025
Name | Flink SQL |
Category Name | Database management software |
Release Date | January 4, 2025 |
LTS Version | 1.18.0 |
License | 0 |
Official Website | https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/sql/overview/ |
Supported OS | Windows, Mac Os, LINUX |
Flink SQL is a powerful, distributed stream processing engine that allows developers to write real-time analytics queries using SQL syntax. It integrates deeply with Apache Flink's ecosystem, enabling stateful, event-time processing, and handling large-scale streaming data. Flink SQL supports batch and stream processing, giving users the flexibility to process both real-time and historical data. With its advanced windowing, time semantics, and complex event processing, it makes big data analytics efficient and accessible. The SQL interface is designed for high scalability, fault tolerance, and low latency. It runs seamlessly on a cluster, processing data in parallel, and supports numerous connectors for integration. Flink SQL can also be integrated with a variety of storage systems, including Kafka and HDFS, providing a versatile, easy-to-use solution for modern data workloads.
Software Requirements:- Java 8 or higher (JVM-based system). Hadoop ecosystem libraries for HDFS, Hive, and other integrations. A distributed system environment like Kubernetes, YARN, or Mesos. Docker or similar containerization platform (for ease of deployment in cloud environments). Hardware Requirements:- Multi-core processor (minimum 2 cores recommended). At least 4GB RAM (8GB recommended for larger jobs). 10GB or more free disk space for logs and state management.
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