Hybrid Conferencee

International Conference on Open Source Tools for Data Analytics (ICOSTDA - 26)

10th - 11th August 2026 | Jakarta Raya, Indonesia

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Jakarta Raya conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Jakarta Raya, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Jakarta Raya."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Open Source Tools for Data Processing

This track focuses on the application of open source tools in data processing workflows. Participants will explore various methodologies and frameworks that enhance data ingestion and transformation.

Track 02

Machine Learning with Open Source Frameworks

This session will delve into the utilization of open source machine learning frameworks for business applications. Attendees will discuss case studies and best practices for implementing machine learning models in real-world scenarios.

Track 03

Big Data Analytics in Business

This track examines the role of big data analytics in driving business decisions. Presentations will highlight innovative approaches to managing and analyzing large datasets using open source tools.

Track 04

Predictive Modeling Techniques

This session will cover various predictive modeling techniques facilitated by open source analytics tools. Participants will learn how to leverage these models for forecasting and strategic planning.

Track 05

Data Visualization Strategies

This track focuses on the importance of data visualization in conveying complex business insights. Attendees will explore open source visualization tools and their effectiveness in enhancing data storytelling.

Track 06

ETL Tools for Efficient Data Management

This session will investigate the use of open source ETL (Extract, Transform, Load) tools in data management processes. Participants will discuss the integration of these tools into existing data workflows.

Track 07

Analytics Platforms for Business Intelligence

This track will explore various open source analytics platforms that support business intelligence initiatives. Discussions will center on platform capabilities and their impact on decision-making.

Track 08

Cloud Integration for Data Analytics

This session will focus on the integration of open source analytics tools with cloud services. Participants will examine the benefits and challenges of cloud-based data analytics solutions.

Track 09

Real-Time Analytics Applications

This track will highlight the significance of real-time analytics in modern business environments. Presentations will showcase open source tools that enable real-time data processing and analysis.

Track 10

Dashboarding for Effective Decision Support

This session will cover the design and implementation of dashboards using open source tools for decision support. Attendees will learn how to create interactive visualizations that facilitate informed business decisions.

Track 11

Data Governance and Compliance in Analytics

This track will address the challenges of data governance and compliance in the context of open source analytics. Discussions will focus on best practices for ensuring data integrity and security.