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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

How does AI transform chaos engineering from an experiment into a critical capability? Learn how to effectively operationalize the chaos.

Data quality isn't just a technical issue: It impacts an organization's compliance, operational efficiency, and customer satisfaction.

Are you a front-end or full-stack developer frustrated by front-end distractions? Learn to move forward with tooling and clear boundaries.

Developer Experience: Demand to support engineering teams has risen, and there is a shift from traditional DevOps to workflow improvements.

The Latest Data Topics

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Turbocharge Load Testing: Yandex.Tank + ghz Combo for Lightning-Fast Code Checks
When you need a quick assessment of your service’s ability to handle a load of 100+ requests per second, there’s no need to involve multiple teams in complex processes.
June 10, 2025
by Ilia Ivankin
· 685 Views · 1 Like
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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
· 1,264 Views · 5 Likes
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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
· 1,051 Views · 1 Like
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Toward Indigenous AI: A Critical Analysis of BharatGen’s Role in Data Sovereignty and Language Equity
This article critically examines BharatGen’s role in advancing Indigenous AI, focusing on data sovereignty and language equity in India.
June 9, 2025
by Praveen Kumar Myakala
· 1,030 Views · 10 Likes
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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
· 811 Views · 1 Like
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How to Improve Software Architecture in a Cloud Environment
This article explains how we can improve the existing cloud, microservices architecture on a project to make it more robust and powerful for all of today’s challenges.
June 6, 2025
by Milan Karajovic
· 1,933 Views · 4 Likes
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Finding Needles in Digital Haystacks: The Distributed Tracing Revolution
Use distributed tracing—the key third pillar of observability—to track requests across microservices and turn debugging from guesswork into precise insights.
June 6, 2025
by Rishab Jolly
· 1,387 Views · 2 Likes
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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 DZone Core CORE
· 2,098 Views · 5 Likes
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When Caching Goes Wrong: How One Misconfigured Cache Took Down an Entire System
Discover how a small cache misconfiguration triggered a system-wide outage. This case study breaks down the failure, fix, and caching best practices.
June 6, 2025
by Ravi Teja Thutari
· 1,805 Views · 6 Likes
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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
· 1,354 Views
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From Monolith to Containers: Real-World Migration Blueprint
This guide shows how to move from a monolith to containers: containerize the app, split services gradually, adopt Kubernetes, automate with CI/CD, and modernize.
June 5, 2025
by Ravi Teja Thutari
· 2,227 Views · 5 Likes
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Privacy-Preserving AI: How Multimodal Models Are Changing Data Security
Multimodal AI models are finally enabling powerful analytics while preserving privacy, proving you can have cutting-edge AI without sacrificing data security.
June 4, 2025
by Vinoth Manamala Sudhakar
· 1,005 Views · 1 Like
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Guide to Repairing Damaged Apache Doris Tablets
Learn how to identify and repair damaged tablets in Apache Doris using built-in tools. Covers replica validation, recovery steps, and handling missing rowsets.
June 3, 2025
by Darren Xu
· 612 Views · 1 Like
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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 DZone Core CORE
· 1,562 Views · 2 Likes
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It Costs That Much Because Observability Takes Hours
People complain that vendors are charging money for services, which seems like a weird thing to do, since nobody wants to build it themselves, either.
June 3, 2025
by Leon Adato
· 983 Views · 1 Like
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Enterprise Data Loss Prevention (DLP) Security Policies and Tuning
Effective DLP policies balance security and usability, tailored to business needs with vendor support for agility and risk reduction.
June 2, 2025
by Priyanka Neelakrishnan
· 1,673 Views · 1 Like
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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
· 1,296 Views
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Source-Driven Development in Salesforce: Managing Metadata and API Versions
Source-Driven Development streamlines Salesforce deployments with version control and consistent API management, boosting stability and scalability.
May 30, 2025
by Ilya Dudkin DZone Core CORE
· 2,732 Views · 1 Like
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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
· 2,784 Views · 4 Likes
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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
· 2,912 Views · 1 Like
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