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On-Demand Pattern Aggregation in Event Networks
Complex Event Processing (CEP) detects patterns in event streams based on predefined queries. However, CEP applications often do not require the enumeration of all detected patterns, but the computation of an aggregate over them, which enables more ...
FunDa: Towards Serverless Data Analytics and In Situ Query Processing
Serverless is a cloud computing paradigm that offers unique advantages to the users due to its pay-what-you-use model. It is particularly suitable for running ephemeral short running tasks. However, this framework is not well-suited for stateful long ...
Energy-Aware Analytics in the Cloud
Big data is now mostly processed in the cloud and will keep growing, fed by databases and the Internet of Things (IoT: sensors, mobile devices, edge computing). On the other hand, AI is pushing computers and data analysis to limits we had not witnessed ...
A Unified Graph Framework for Storage-Compute Coupled Cluster and High-Density Computing Cluster
In this paper, we present a novel unified framework that seamlessly integrates distributed computing and high-density graph computing. Our approach leverages a hybrid architecture that combines the strengths of both paradigms, enabling efficient graph ...
Enhancing Semantic Exploration: A Distributed Repository Approach
In the modern digital era centralized and distributed systems emerge as two prominent paradigms for organizing ICT infrastructure, each presenting distinct advantages and challenges. Centralized systems concentrate resources and processing power in a ...
Are Large Language Models the New Interface for Data Pipelines?
- Sylvio Barbon Junior,
- Paolo Ceravolo,
- Sven Groppe,
- Mustafa Jarrar,
- Samira Maghool,
- Florence Sèdes,
- Soror Sahri,
- Maurice Van Keulen
A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like fluency and ...
Technological and Research Challenges in Data Engineering for Sustainable Agriculture
- Sandro Bimonte,
- Gianni Bellocchi,
- Francois Pinet,
- Guillaume Charrier,
- Dimitris Sacharidis,
- Mahmoud Sakr,
- Ronan Tournier,
- Gentian Jakllari,
- Gerard Chalhoub,
- Tahar Kechadi,
- Boualem Benatallah,
- Francesco Marinello,
- Roberto Oberti,
- Jerome Bindelle,
- Ginta Majore,
- Piotr Skrzypczyński
This paper presents a concise exploration of the evolving landscape of sustainable agriculture through the lens of data engineering. The aim is to highlight the most important challenges in the field and sketch ideas for how to address them. This ...
Predicting Bitcoin price movement through Sentiment Analysis: A Comprehensive Study
The people’s feelings in tweets can affect on the direction of Bitcoin price. The study aimed to figure out how much Twitter posts affect the price movement of Bitcoin. It was tried to find accurate prediction models through a Sentiment Analysis (SA) ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
BiDEDE '23 | 15 | 7 | 47% |
BiDEDE '22 | 15 | 10 | 67% |
BiDEDE '21 | 17 | 8 | 47% |
Overall | 47 | 25 | 53% |