Towards Polyglot Data Processing in Social Networks using the Hadoop-Spark ecosystem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Seabra, Antony, Lifschitz, Sergio
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Advancing Polyglot Big Data Processing using the Hadoop ecosystem
by: Seabra, Antony, et al.
Published: (2025)

Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework
by: Li, Chen, et al.
Published: (2024)

Zero-Execution Retrieval-Augmented Configuration Tuning of Spark Applications
by: Suri, Raunaq, et al.
Published: (2025)

A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning
by: Lyu, Chenghao, et al.
Published: (2024)

Performance comparison of Dask and Apache Spark on HPC systems for Neuroimaging
by: Dugré, Mathieu, et al.
Published: (2024)

Distributed Record Linkage in Healthcare Data with Apache Spark
by: Heydari, Mohammad, et al.
Published: (2024)

Towards Serverless Processing of Spatiotemporal Big Data Queries
by: Baumann, Diana, et al.
Published: (2025)

Optimizing the Longhorn Cloud-native Software Defined Storage Engine for High Performance
by: Kampadais, Konstantinos, et al.
Published: (2025)

Approaches to Conflict-free Replicated Data Types
by: Almeida, Paulo Sérgio
Published: (2023)

Towards Fine-Grained Scalability for Stateful Stream Processing Systems
by: Qing, Yunfan, et al.
Published: (2025)

CONFINE: Preserving Data Secrecy in Decentralized Process Mining
by: Goretti, Valerio, et al.
Published: (2024)

Towards Building Autonomous Data Services on Azure
by: Zhu, Yiwen, et al.
Published: (2024)

Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies
by: Vogelsang, Jan, et al.
Published: (2026)

GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations
by: Pan, Qilong, et al.
Published: (2024)

The Renoir Dataflow Platform: Efficient Data Processing without Complexity
by: De Martini, Luca, et al.
Published: (2023)

Towards Disaggregation-Native Data Streaming between Devices
by: Asmussen, Nils, et al.
Published: (2024)

Running Cloud-native Workloads on HPC with High-Performance Kubernetes
by: Chazapis, Antony, et al.
Published: (2024)

ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science
by: Hanai, Masatoshi, et al.
Published: (2024)

Learning Process Energy Profiles from Node-Level Power Data
by: Bader, Jonathan, et al.
Published: (2025)

SkimROOT: Accelerating LHC Data Filtering with Near-Storage Processing
by: Batsoyol, Narangerelt, et al.
Published: (2025)

Research on the Application of Spark Streaming Real-Time Data Analysis System and large language model Intelligent Agents
by: Wang, Jialin, et al.
Published: (2024)

Large-Scale Graphs Community Detection using Spark GraphFrames
by: Apostol, Elena-Simona, et al.
Published: (2024)

A Blockchain-Enabled Framework for Storage and Retrieval of Social Data
by: Parab, Aishwarya, et al.
Published: (2025)

Towards the Democratization and Standardization of Dynamic Resources with MPI Spawning
by: Iserte, Sergio, et al.
Published: (2026)

Guardian: Safe GPU Sharing in Multi-Tenant Environments
by: Pavlidakis, Manos, et al.
Published: (2024)

Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification
by: Will, Jonathan, et al.
Published: (2025)

Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds
by: Wang, Yuandou, et al.
Published: (2024)

A TEE-based Approach for Preserving Data Secrecy in Process Mining with Decentralized Sources
by: Basile, Davide, et al.
Published: (2026)

FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud
by: Lin, Yuhao, et al.
Published: (2026)

Resource Optimization with MPI Process Malleability for Dynamic Workloads in HPC Clusters
by: Iserte, Sergio, et al.
Published: (2025)

ESTA: An Efficient Spatial-Temporal Range Aggregation Query Processing Algorithm for UAV Networks
by: Liu, Liang, et al.
Published: (2023)

A Study on the Performance of Distributed Training of Data-driven CFD Simulations
by: Iserte, Sergio, et al.
Published: (2026)

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
by: Liu, Chen, et al.
Published: (2025)

Pandemics In Silico: Scaling an Agent-Based Simulation on Realistic Social Contact Networks
by: Kitson, Joy, et al.
Published: (2024)

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
by: Wang, Shilong, et al.
Published: (2025)

Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning
by: Jansen, Victor Forattini, et al.
Published: (2026)

Enabling Seamless Data Security, Consensus, and Trading in Vehicular Networks
by: Vieira, Emanuel, et al.
Published: (2024)

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
by: Bhawiyuga, Adhitya, et al.
Published: (2025)

OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics
by: Chandra, Ritesh, et al.
Published: (2025)

Collaborative UAVs Multi-task Video Processing Optimization Based on Enhanced Distributed Actor-Critic Networks
by: Rong, Ziqi, et al.
Published: (2024)