Big Data Resources

Taming Billions of Rows: How Metadata and SQL Can Replace Your ETL Pipeline

Managing time-series data is challenging. This article presents a metadata-driven aggregation approach that cuts storage by 10x and speeds up queries without ETL.

June 10, 2025

by Rishu Chadha

· 2,085 Views · 6 Likes

Operationalizing Data Quality in Cloud ETL Workflows: Automated Validation and Anomaly Detection

Data quality isn’t an afterthought anymore; it is real-time, embedded, and self-healing. Cloud ETL needs smart checks, not checklists. Trust your data before it lies.

June 10, 2025

by BEVERLY DSOUZA

· 2,219 Views · 2 Likes

Integrating Apache Spark With Drools: A Loan Approval Demo

Combine Apache Spark’s data processing with Drools’ rule engine to automate loan approvals based on credit scores, using a scalable, rule-based approach with Scala.

June 9, 2025

by Ram Ghadiyaram

CORE

· 2,349 Views · 1 Like

Data Storage and Indexing in PostgreSQL: Practical Guide With Examples and Performance Insights

Explore how PostgreSQL handles large data using TOAST and improves query speed with indexes like B-tree, GIN, and BRIN, cutting query times by over 90%.

June 6, 2025

by arvind toorpu

CORE

· 3,932 Views · 7 Likes

Guide to Optimizing Your Snowflake Data Warehouse for Performance, Cost Efficiency, and Scalability

Optimize your Snowflake data warehouse for speed, cost, and scale with practical tips on query tuning, resource management, and efficient data practices.

June 5, 2025

by Harshavardhan Yedla

· 2,350 Views

Beyond Web Scraping: Building a Reddit Intelligence Engine With Airflow, DuckDB, and Ollama

Leverage advanced computational techniques to transform unstructured social media data into actionable research insights with a locally-hosted LLM pipeline.

June 5, 2025

by Aditya Karnam Gururaj Rao

· 2,791 Views · 3 Likes

Edge AI: TensorFlow Lite vs. ONNX Runtime vs. PyTorch Mobile

Edge AI frameworks optimize ML models for resource-constrained device deployment; compare TensorFlow Lite, ONNX Runtime, and PyTorch Mobile.

June 3, 2025

by Mahesh Vaijainthymala Krishnamoorthy

· 14,958 Views · 4 Likes

Improving Cloud Data Warehouse Performance: Overcoming Bottlenecks With AWS and Third-Party Tools

Cloud data warehousing performance can be optimized with AWS tools and third-party solutions like Matillion, Fivetran, and Looker.

June 3, 2025

by Dilip Kumar Rachamalla

· 3,106 Views · 1 Like

What is Microsoft Fabric for Azure Cloud (Beyond the Buzz) and How It Competes with Snowflake and Databricks

Microsoft Fabric is a lakehouse built on OneLake Storage in Azure Cloud and competes with Databricks and Snowflake for data analytics and AI.

June 3, 2025

by Kai Wähner

CORE

· 2,211 Views · 2 Likes

How to Improve Copilot's Accuracy and Performance in Power BI

Copilot in Power BI is a powerful tool, but it heavily depends on how well the data model is created and the clear metadata description of tables, columns, and measures.

June 2, 2025

by Harsh Patel

· 2,770 Views · 1 Like

Apache Spark 4.0: Transforming Big Data Analytics to the Next Level

Apache Spark 4.0 brings PySpark plotting, polymorphic UDTFs, improved SQL scripting, and Python API updates to enhance real-time analytics and usability.

May 30, 2025

by Ram Ghadiyaram

CORE

· 5,823 Views · 6 Likes

Is Big Data Dying?

Explore the evolution of big data, from Hadoop to cloud-native platforms like Snowflake, and learn how specialized skills shape this thriving industry's future.

May 28, 2025

by bingxi Wu

· 3,779 Views · 1 Like

A Guide to Auto-Tagging and Lineage Tracking With OpenMetadata

Learn how to automate PII tagging, metadata management, and SQL lineage tracking with GPT-4, OpenMetadata, dbt, Trino, and Python for smarter data governance.

May 27, 2025

by Sreenath Devineni

CORE

· 6,463 Views

Data Lake vs. Warehouse vs. Lakehouse vs. Mart: Choosing the Right Architecture for Your Business

Choosing between data lakes, warehouses, lakehouses, and marts depends on your business needs and data maturity. This article breaks each down with real-world examples.

May 27, 2025

by Harsh Patel

· 2,050 Views

Event-Driven Microservices: How Kafka and RabbitMQ Power Scalable Systems

Event-driven microservices use Kafka and RabbitMQ for scalable, fault-tolerant data processing in modern application architectures.

May 23, 2025

by Bhanuprakash Madupati

· 92,500 Views · 24 Likes

System Coexistence: Bridging Legacy and Modern Architecture

Integrating legacy systems with modern applications is a complex but essential challenge for organizations aiming for long-term success.

May 22, 2025

by Soumya Udupi Ramesh

· 3,959 Views · 1 Like

Assessing Bias in AI Chatbot Responses

The paper explores AI chatbot bias, ethical concerns, fairness, detection methods, and real-world impacts in fields like healthcare, recruitment, and customer service.

May 22, 2025

by Bhanuprakash Madupati

· 70,097 Views · 19 Likes

How To Introduce a New API Quickly Using Quarkus and ChatGPT

Stepping outside of my comfort zone, let’s see how quickly we can introduce an API-First-driven RESTful by leveraging ChatGPT, Quarkus, and Heroku.

May 21, 2025

by John Vester

CORE

· 16,254 Views · 3 Likes

IoT and Cybersecurity: Addressing Data Privacy and Security Challenges

The iot brings forth an enormous transformation in how human beings operate with technology. The system delivers advantages that benefit both efficiency and convenience.

May 21, 2025

by Dennis Helfer

· 4,163 Views · 1 Like

Securing the Future: Best Practices for Privacy and Data Governance in LLMOps

This article covers strategies for safeguarding sensitive data, enforcing compliance, and embedding responsible AI principles throughout the model lifecycle.

May 21, 2025

by Rajarshi Tarafdar

· 4,267 Views · 1 Like

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