- newBuilding an IoT Framework: Essential Components for Success
Before you can build an Internet of Things (IoT) application, you need a solid foundation. An IoT framework acts as the scaffolding, ensuring that your system works smoothly and can connect with other devices. A well-structured framework makes it eas…
- 7 hours ago 20 Jun 25, 7:00pm - - Top Trends for Data Streaming With Apache Kafka and Flink
The evolution of data streaming has transformed modern business infrastructure, establishing real-time data processing as a critical asset across industries. At the forefront of this transformation, Apache Kafka and Apache Flink stand out as leading…
- 2 days ago 18 Jun 25, 8:00pm - - A New Era of Unified Lakehouse: Who Will Reign? A Deep Dive into Apache Doris vs. ClickHouse
With the explosive growth of data, the demand for real-time analytics across industries is more urgent than ever. High-performance data warehouses are the backbone of real-time analysis, enabling enterprises to quickly gain insights and drive decisio…
- 2 days ago 18 Jun 25, 7:00pm - - Driving Streaming Intelligence On-Premises: Real-Time ML With Apache Kafka and Flink
Lately, companies, in their efforts to engage in real-time decision-making by exploiting big data, have been inclined to find a suitable architecture for this data as quickly as possible. With many companies, including SaaS users, choosing to deploy…
- 4 days ago 17 Jun 25, 11:00am - - Smarter IoT Systems With Edge Computing and AI
The Internet of Things (IoT) is no longer just about connectivity. Today, IoT systems are becoming intelligent ecosystems that make real-time decisions. The convergence of edge computing and artificial intelligence (AI) is driving this transformation…
- 7 days ago 13 Jun 25, 8:00pm - - From ETL to ELT to Real-Time: Modern Data Engineering with Databricks Lakehouse
The data engineering landscape has rapidly changed over the past few years, shifting from the classical ETL (Extract, Transform, and Load) model to the more modern ELT (Extract, Load, Transform) model. In the ETL approach, data was transformed before…
- 9 days ago 11 Jun 25, 5:00pm - - Taming Billions of Rows: How Metadata and SQL Can Replace Your ETL Pipeline
Many enterprises that collect large volumes of time-series data from storage, virtualization, and cloud environments often run into a known problem: retaining long-term insights (data) without overwhelming storage and compute. To solve this problem,…
- 10 days ago 10 Jun 25, 4:00pm - - Operationalizing Data Quality in Cloud ETL Workflows: Automated Validation and Anomaly Detection
Data quality has shifted from a checkpoint to being an operational requirement. As more and more data warehouses become cloud-native, and the complexity of running real-time pipelines increases, data engineers face a non-trivial problem: how to opera…
- 11 days ago 10 Jun 25, 11:00am - - Integrating Apache Spark With Drools: A Loan Approval Demo
Near real-time decision-making systems are critical for modern business applications. Integrating Apache Spark (Streaming) and Drools provides scalability and flexibility, enabling efficient handling of rule-based decision-making at scale. This artic…
- 11 days ago 9 Jun 25, 2:00pm - - Data Storage and Indexing in PostgreSQL: Practical Guide With Examples and Performance Insights
PostgreSQL employs sophisticated techniques for data storage and indexing to ensure efficient data management and fast query performance. This guide explores PostgreSQL's mechanisms, showcases practical examples, and includes simulated performance me…
- 14 days ago 6 Jun 25, 3:00pm - - Guide to Optimizing Your Snowflake Data Warehouse for Performance, Cost Efficiency, and Scalability
Optimizing a Snowflake data warehouse (DWH) is crucial for ensuring high performance, cost-efficiency, and long-term effectiveness in data processing and analytics. The following outlines the key reasons optimization is essential:Performance Optimiz…
- 15 days ago 5 Jun 25, 8:00pm - - Beyond Web Scraping: Building a Reddit Intelligence Engine With Airflow, DuckDB, and Ollama
Reddit offers an invaluable trove of community-driven discussions that provide rich data for computational analysis. As researchers and computer scientists, we can extract meaningful insights from these social interactions using modern data engineeri…
- 15 days ago 5 Jun 25, 7:00pm - - Edge AI: TensorFlow Lite vs. ONNX Runtime vs. PyTorch Mobile
My introduction to the world of edge AI deployment came with many tough lessons learned over five years of squeezing neural networks onto resource-constrained devices. If you're considering moving your AI models from comfortable cloud servers to the…
- 17 days ago 3 Jun 25, 7:00pm - - Improving Cloud Data Warehouse Performance: Overcoming Bottlenecks With AWS and Third-Party Tools
Performance optimization has become paramount in cloud data warehousing for organisations that need to make decisions based on fast, accurate insights. As cloud-native data platforms become the norm for modern businesses, performance bottlenecks that…
- 17 days ago 3 Jun 25, 3:00pm - - What is Microsoft Fabric for Azure Cloud (Beyond the Buzz) and How It Competes with Snowflake and Databricks
If you ask your favorite large language model, Microsoft Fabric appears to be the ultimate solution for any data challenge you can imagine. Thatâs also the impression many people get from Microsoftâs sales teams. But is it really the silver bulle…
- 18 days ago 3 Jun 25, 1:10pm - - How to Improve Copilot's Accuracy and Performance in Power BI
Copilot in Power BI has been a powerful advancement in making data analysis accessible to everyone. But the quality of Copilot's output is heavily dependent on the foundation it sits upon â your Power BI data model and metadata. If Copilot doesn't…
- 18 days ago 2 Jun 25, 2:00pm - - Apache Spark 4.0: Transforming Big Data Analytics to the Next Level
Hurray! Apache Spark 4.0, released in 2025, redefines big data processing with innovations that enhance performance, accessibility, and developer productivity. With contributions from over 400 developers across organizations like Databricks, Apple, a…
- 22 days ago 30 May 25, 12:00pm - - Is Big Data Dying?
In recent years, the notion that âbig data is dyingâ seems to be gaining traction. Some say the big data craze has faded, while others lament the shrinking job opportunities, the increasing complexity of platforms, and the growing intricacy of bu…
- 23 days ago 28 May 25, 6:00pm - - A Guide to Auto-Tagging and Lineage Tracking With OpenMetadata
Tagging metadata and tracking SQL lineage manually is often tedious and prone to mistakes in data engineering. Although essential for compliance and data governance, these tasks usually involve lengthy manual checks of datasets, table structures, and…
- 24 days ago 27 May 25, 4:00pm - - Data Lake vs. Warehouse vs. Lakehouse vs. Mart: Choosing the Right Architecture for Your Business
In todayâs data-driven world, choosing the right architecture is crucial. This article compares data warehouse, data lake, data lakehouse, and data mart through real-world business use casesâexploring how data flows from raw sources to decision-m…
- 25 days ago 27 May 25, 11:00am -