International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Unified Batch and Streaming with Apache Flink 1.15: Eliminating the Lambda Architecture in Modern Real-Time Data Platforms |
|---|---|
| ABSTRACT | The Lambda Architecture - a dual-pipeline pattern separating batch and stream processing into independent codebases - has dominated enterprise data engineering since its formalization by Nathan Marz in 2011. While Lambda addressed the real-time latency problem of purely batch-oriented Hadoop ecosystems, it introduced a new class of complexity: divergent codebases, operational duplication, consistency drift between batch and speed layers, and significantly elevated engineering maintenance burden. Apache Flink 1.15, released March 2022, completes the unification vision that the streaming-first architecture promised but could not fully deliver. By treating bounded datasets as finite streams through a single execution engine, Flink 1.15 enables organizations to execute batch workloads, streaming pipelines, and hybrid reprocessing jobs through identical code, identical APIs, and a single deployed runtime. This paper presents a comprehensive technical analysis of Flink 1.15 unified processing capabilities, covering the execution model, state management, watermark semantics, checkpointing guarantees, and production deployment patterns. We further present a reference production pipeline architecture for an e-commerce analytics platform deployed on AWS EMR, demonstrating concrete latency (P99 < 32ms), throughput (5.4M events/sec), and operational metrics. Our analysis confirms that Lambda Architecture is no longer an engineering necessity - it is an engineering liability. |
| AUTHOR | VENKATA VIJAY SATYANARAYANA MURTHY NEELAM Big Data Developer | Cloud Data Engineer, Atlanta, Georgia, USA |
| VOLUME | 131 |
| DOI | DOI: 10.15680/IJIRCCE.2022.1004167 |
| pdf/167_Unified Batch and Streaming with Apache Flink 1.15 Eliminating the Lambda Architecture in Modern Real-Time Data Platforms.pdf | |
| KEYWORDS | |
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