DataFibers

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Simply build, plug, and immediately subscribe your data anywhere at anytime.

FLEXIBLE

Batch, Stream, Real-Time, or Hybrid data processing are right at hand.

Powerful

Data landing, discovery, transfer, transform, cache, mining are all in one place.

Consulting

Explore the oppotunities from DataFibers and Big Data to business success

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We actively support development/deployment requests on DataFibers and queries on big data use cases.

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We have provided on-line and off-line big data professional trainings across world.

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From our blog

Here, we are sharing our experience and best practice of using DataFibers as well as other big data technology.

Unpacking Apache Spark: A Deep Dive into its Architectural Core

on July 12, 2026

Apache Spark has revolutionized big data processing, becoming an indispensable tool for data engineers and scientists alike. While many are familiar with its high-level APIs like DataFrames and Spark SQL, understanding the intricate mechanisms “under the hood” is crucial for building robust, performant, and scalable applications. This deep dive will pull back the curtain, exploring Spark’s architectural patterns, its sophisticated optimization engine, and the practical challenges of distributed execution.

Hermes Agent: Under the Hood of a Resilient Distributed Event Ingestion System

on July 8, 2026

The modern data landscape is a torrent of events, flowing from countless sources to various analytical and operational sinks. Ensuring every single event is captured, processed, and delivered reliably, without loss or performance degradation, is a monumental challenge. Enter Hermes Agent: a robust, distributed event ingestion system designed to act as a resilient intermediary, buffering, processing, and delivering high volumes of events even in the face of network glitches, downstream backpressure, and system failures.

Azure Networking Deep Dive: Peering, Private Link, and Secure Architectural Patterns

on July 5, 2026

Building robust and secure cloud infrastructure in Azure heavily relies on a deep understanding of its networking capabilities. While creating a Virtual Network (VNet) and subnet might seem straightforward, the true power and complexity lie in interconnecting these networks, enforcing granular security, and securely integrating Platform-as-a-Service (PaaS) offerings without exposing them to the public internet. This deep dive will go beyond the basics, exploring the “under-the-hood” mechanics of Azure VNet Peering, User-Defined Routes (UDRs), Network Security Groups (NSGs), and the transformative Azure Private Link service.

Demystifying Apache Spark: Under the Hood of its Distributed Architecture

on July 1, 2026

Apache Spark has cemented its position as a cornerstone in the big data ecosystem, lauded for its speed, ease of use, and versatility. While many developers are familiar with its high-level APIs like map, reduce, and filter, the true power and elegance of Spark lie in its sophisticated, deeply optimized execution engine. This deep-dive explores Spark’s internal architecture, its core abstractions, the magic of the Catalyst Optimizer and Tungsten Engine, and crucial performance considerations that transform a basic Spark job into a highly efficient distributed application.

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Know more about DataFibers?

From our blog

Unpacking Apache Spark: A Deep Dive into its Architectural Core

Hermes Agent: Under the Hood of a Resilient Distributed Event Ingestion System

Azure Networking Deep Dive: Peering, Private Link, and Secure Architectural Patterns

Demystifying Apache Spark: Under the Hood of its Distributed Architecture

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