Data Resources

Next.js Theming: CSS Variables for Adaptive Data Visualization

CSS variables revolutionize the theming of apps by allowing theme changes in real time. This makes them suitable for modern apps having features like data visualization.

March 4, 2025

by Anujkumarsinh Donvir

CORE

· 5,318 Views · 5 Likes

Handling Dynamic Data Using Schema Evolution in Delta

This article is intended to help data practitioners learn an effective way of dealing with dynamically changing data through Delta Lake.

March 3, 2025

by Hanza Parayil Salim

· 2,958 Views

Time Data Series: The Rest of the Story

Things I've learned about how the PHP Zmanim library helps calculate specific and special times that relate to Jewish life.

March 3, 2025

by Leon Adato

· 3,605 Views · 2 Likes

Materialized Views in Data Stream Processing With RisingWave

Materialized views enhance data streaming by improving incremental computation, enabling efficient retrieval and calculation of aggregated or pre-processed data.

March 3, 2025

by Gautam Goswami

CORE

· 3,620 Views · 2 Likes

Understanding the Data Culture

A data culture fosters data and AI use to improve decision-making, drive innovation, build trust, and ensure organizational success through collaboration.

March 3, 2025

by Abrar Ahmed Syed

· 3,469 Views · 5 Likes

Modern Data Processing Libraries: Beyond Pandas

In this article, we explore the alternatives to pandas for data processing and data analysis. We'll compare and contrast based on performance.

March 3, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 6,505 Views · 6 Likes

Doris Lakehouse Integration: A New Approach to Data Analysis

Doris Lakehouse Integration bridges data lakes and warehouses and enables seamless access, faster queries, unified management, and greater data value.

February 28, 2025

by Darren Xu

· 6,271 Views · 3 Likes

Exploring IoT's Top WebRTC Use Cases

WebRTC can handle both high-quality media streaming and efficient data sharing, making it a versatile tool for device developers.

February 28, 2025

by Carsten Rhod Gregersen

· 3,815 Views · 1 Like

Modern ETL Architecture: dbt on Snowflake With Airflow

Build a scalable ETL pipeline with dbt, Snowflake, and Airflow, and address data engineering challenges with modular architecture, CI/CD, and best practices.

February 27, 2025

by Digvijay Waghela

· 6,219 Views · 2 Likes

Top Methods to Improve ETL Performance Using SSIS

Improve ETL performance in SSIS with parallel extraction, optimized transformations, and proper configuration of concurrency, batch sizes, and data types.

February 27, 2025

by DZone Editorial

· 5,643 Views · 1 Like

Handling Embedded Data in NoSQL With Java

Handle embedded data in NoSQL with Java using Jakarta NoSQL. Compare flat vs. grouped structures using @Embeddable to optimize document storage and querying in MongoDB.

February 27, 2025

by Otavio Santana

CORE

· 6,836 Views · 5 Likes

Efficient Multimodal Data Processing: A Technical Deep Dive

Efficient multimodal data processing using GPU-accelerated pipelines, neural networks, and hybrid storage for scalable, low-latency AI-driven applications.

February 27, 2025

by Praneeth Reddy Vatti

· 6,014 Views · 4 Likes

Cloud-Driven Analytics Solution Strategy in Healthcare

Detailed insights into compute resource management, cluster optimization, storage efficiency, and cost governance in cloud-based environments.

February 27, 2025

by Abrar Ahmed Syed

· 4,820 Views · 5 Likes

How to Scale Elasticsearch to Solve Your Scalability Issues

Scaling Elasticsearch requires balancing sharding, query performance, and memory tuning for optimal efficiency in high-traffic, real-time applications.

February 26, 2025

by Vivek Kumar

· 8,134 Views · 3 Likes

A Platform-Agnostic Approach in Cloud Security

Learn a platform-agnostic approach to cloud security, focusing on encryption, zero-trust models, and tools to enhance security across multi-cloud environments.

February 26, 2025

by Natapong Sornprom

· 3,815 Views · 2 Likes

Annotating Data at Scale in Real Time

Real-time annotation scales with LLMs, feedback loops, and active learning to handle petabyte datasets, and ensures speed, quality, and adaptability in diverse fields.

February 26, 2025

by Praneeth Reddy Vatti

· 3,025 Views · 3 Likes

Spark Job Optimization

Spark jobs can be optimized to maximize resource utilization in a cluster, improving performance and reducing costs for large-scale data processing.

February 25, 2025

by Chandra Shekar r Chekuri

· 3,302 Views · 1 Like

The Future of Data Lakehouses: Apache Iceberg Explained

This blog post is the first in a three-part series exploring Apache Iceberg and its role in modern data architectures and the emergence of data lakehouses.

February 25, 2025

by Fawaz Ghali, PhD

CORE

· 4,098 Views · 5 Likes