Big Data frameworks (Hadoop, Spark)

INDJCST | Big Data Frameworks (Hadoop, Spark)

📘Indian Journal of Computer Science and Technology (INDJCST)

The Indian Journal of Computer Science and Technology (INDJCST) (e-ISSN: 2583-5300) is a globally recognized open-access journal publishing quality research across all branches of Computer Science. Published three times annually, INDJCST is established as one of the best Computer Science journals with strict double-blind peer review, COPE compliance, UGC-CARE listing, and strong ethics in academic publishing.

📊Focus on Big Data Frameworks (Hadoop, Spark)

Technologies such as Big Data frameworks (Hadoop, Spark) have reshaped how enterprises, governments, and scientists analyze and utilize massive datasets. Hadoop introduced distributed storage and processing through the Hadoop Distributed File System (HDFS) and MapReduce, while Apache Spark advanced the field with in-memory computation and machine learning support, enabling real-time big data analytics.

In areas such as finance, healthcare, cybersecurity, commerce, and smart cities, research on Big Data frameworks (Hadoop, Spark) provides innovative solutions for high-volume, high-velocity, and high-variety data problems. Publishing this work in INDJCST ensures reach in one of the best Computer Science journals driving the future of scalable AI systems, predictive analysis, and data science innovation.

🚀Why Choose INDJCST?

  • ⚡ Rapid Peer Review: Editorial decisions finalized within 3 days.
  • 🌍 Open Access: Big Data studies available worldwide without restriction.
  • 🔄 Streamlined Workflow: Quick 24/7 submission support and automated communication.
  • 🛡️ Integrity Assured: Comprehensive plagiarism checks applied to every manuscript.
  • ✅ COPE Compliance: Upholding established ethical publishing guidelines.
  • 📈 Impactful Outcomes: Research influences academic fields, industry standards, and policy-making globally.

🔍Indexing & Abstracting

Articles published in INDJCST are indexed by reputed databases including Google Scholar, Elsevier Mendeley, Semantic Scholar, SSRN, Dimensions, WorldCAT, EuroPub, ExLibris, and PLumX. This ensures that research on Big Data frameworks (Hadoop, Spark) gains high international discoverability, positioning INDJCST as one of the best Computer Science journals.

📝Publication Process

  • ⏰ Submission: Instant paper submission via online system
  • 💬 Acknowledgment: Confirmation within 12 hours
  • 🔬 Expert Review: Completed in 2 working days
  • 📩 Decision: Acceptance/rejection issued within 3 days
  • 📄 Publication: Instant PDF access with digital certificate

💰Article Processing Charges

  • 🇮🇳 Indian Authors: Without DOI – 1200 INR + GST | With DOI – 1400 INR + GST
  • 🌎 International Authors: With DOI – 60 USD

⚙️Advanced Editorial System

INDJCST provides an advanced editorial platform allowing personalized author dashboards, submission history logs, real-time status updates, automated acceptance documents, and direct one-click downloadable certificates. This system ensures complete transparency and ease for contributors.

🏆Why INDJCST is Among the Best Computer Science Journals

By supporting high-impact research like Big Data frameworks (Hadoop, Spark), INDJCST combines rigorous standards with practical applications in global industries. Its broad indexing, rapid peer review, open-access principle, and UGC-CARE recognition consolidate its ranking as one of the best Computer Science journals for data-driven innovation and advanced computational research.