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@Dzoneinc

DZone.com is one of the world's largest online communities and leading publisher of knowledge resources for software engineering professionals. Every day, thousands of developers come to DZone.com to read about the latest technology trends and learn about new technologies, methodologies, and best practices through shar

  • 76articles · 30d
  • 1+ day agolatest article
  • Aug 26, 2026earliest in window
  • 100%with images
  • 357avg words
articles per day
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  • science and technology 73
  • SOD 70
  • CE 64
  • BI 8
  • SCT 4
  • economy business and finance 2
  • IT 2
  • environment 1

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dzone.com
dzone.com > articles > design-replay-safe-cdc-pipelines

Designing Replay-Safe CDC Pipelines

1+ week, 4+ day ago   (874+ words) Change data capture (CDC) pipelines look straightforward on paper: capture database changes,...several boring decisions lining up correctly. The data model should separate the aggregate state, the classification...

dzone.com
dzone.com > articles > stream-processing-mainframe-apache-flink

Stream Processing on the Mainframe With Apache Flink

2+ day, 18+ hour ago   (897+ words) Apache Flink on the IBM mainframe connects real-time processing with core systems, enabling hybrid...workloads entirely and moving all applications and data to a new platform. There are many reasons: Mainframe...offloading in action, using Kafka, IBM MQ, and Change…...

dzone.com
dzone.com > articles > databricks-cache-improves-analytics-workloads

Improving Analytics Workloads With Databricks Disk

2+ day, 38+ min ago   (1647+ words) pattern is common in shared analytics environments. A data engineering job reads a curated dataset to build...aggregates. A BI refresh reads the same table again. A data science notebook filters the same records during...scheduled workflow joins against the…...

dzone.com
dzone.com > articles > idempotent-output-keying-rolling-deployments

Idempotent Output Keying for Long-Running Tasks

2+ week, 1+ day ago   (221+ words) replacing a long-running task can process the same data twice, which corrupts the output and breaks consumers...

dzone.com
dzone.com > articles > dora-metrics-ci-pipeline-data

When DORA Metrics Lie: Rethinking CI Pipeline Data

5+ day, 22+ hour ago   (803+ words) When mock files drift from current service behavior, DORA metrics underreport failures. Deployment rework rate is the metric that shows what change failure rate missed. Every one of these metrics is a faithful record of what the pipeline said happened....

dzone.com
dzone.com > articles > performance-engineering-bottlenecks

How Performance Engineers Fix Hidden System Bottlenecks

6+ day, 38+ min ago   (1579+ words) full workday. The system keeps grinding through data, the business keeps losing time and money, and users...

dzone.com
dzone.com > articles > typescript-runtime-validation

Building Type-Safe LLM Pipelines With Runtime Validation

1+ day, 19+ hour ago   (223+ words) a pipeline in which model output becomes domain data only after passing a runtime contract. The final...

dzone.com
dzone.com > articles > sql-diagnostic-tool

Building a SQL Diagnostic Tool Without Database Access

1+ week, 5+ day ago   (947+ words) Learn how I built an open-source SQL query analyzer that generates dialect-correct index recommendations across multiple dialects. Most developers I've worked with write SQL every day. Very few of them are DBAs. According to the 2024 Stack Overflow Developer Survey — 65,000 developers…...

dzone.com
dzone.com > articles > cnn-training-inference-temporal

Orchestrating CNN Training and Inference Workflows With Temporal

2+ week, 2+ day ago   (207+ words) They fail because modern training and inference pipelines are distributed systems: datasets arrive late,...or outages. That makes it a strong fit for CNN pipelines whose control plane must survive for hours, days,...They fail because modern training and inference…...

dzone.com
dzone.com > articles > ai-native-data-engineer

What It Actually Means to Be an AI-Native Data Engineer

1+ week, 5+ day ago   (1125+ words) already behind. At some point in the last year, every data engineer had the same experience. You opened a copilot...directions. The work that once defined the day-to-day of data engineering — writing transformations, building...run it twice, and you get…...

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