Quantum Flow: Enterprise Data Orchestration and Processing Suite

In the realm of data-intensive enterprises, the QuantumFlow project offers a tailored solution for high-performance computing environments, integrating Apache Airflow, Apache Spark, and Apache NiFi. This paper synthesizes extensive research and development efforts to create a robust suite for orchestrating enterprise data workflows efficiently. Emphasizing fault tolerance and scalability, QuantumFlow ensures reliable handling of large-scale data workloads through distributed computing paradigms. Drawing from scholarly works like ExplSched and EVOLVE, informs design decisions and architectural considerations. It delves into practical implementations, challenges, and lessons learned, highlighting the potential to enhance enterprise data engineering capabilities in HPC environments.

Authors

Institutions

Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1145/3675888.3676116
Citations
2
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
1.56
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantum Flow: Enterprise Data Orchestration and Processing Suite

Kapil Madan, Parish Bindal
2 citations
Cloud Computing and Resource Management
1.56
article

Quantum Flow: Enterprise Data Orchestration and Processing Suite

Kapil Madan, Parish Bindal
article en
2 citations

Abstract

In the realm of data-intensive enterprises, the QuantumFlow project offers a tailored solution for high-performance computing environments, integrating Apache Airflow, Apache Spark, and Apache NiFi. This paper synthesizes extensive research and development efforts to create a robust suite for orchestrating enterprise data workflows efficiently. Emphasizing fault tolerance and scalability, QuantumFlow ensures reliable handling of large-scale data workloads through distributed computing paradigms. Drawing from scholarly works like ExplSched and EVOLVE, informs design decisions and architectural considerations. It delves into practical implementations, challenges, and lessons learned, highlighting the potential to enhance enterprise data engineering capabilities in HPC environments.

Jaypee Institute of Information Technology (IN)
Openalex Percentile: Top 12%
Cloud Computing and Resource Management
1.56
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.