Tag: Data and analytics
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The password database is dead, we just haven't buried it yet.
Posted on August 11, 2026, Level beginner Resource Length short
This article argues that centralized password databases are inherently flawed security liabilities, creating high-value targets for breaches. It proposes shifting authentication to device-native hardware and Zero-Knowledge Proofs (ZKPs) to eliminate database leak risks entirely. By moving verification logic to the edge and removing central credential stores, organizations can fundamentally reduce their attack surface. By Corthan Newsroom.
Tags security-and-privacy architecture-and-apis cloud-and-infrastructure devops-and-ci-cd data-and-analytics
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Standardizing semantic models: How Apache Ossie addresses data fragmentation
Posted on August 10, 2026, Level beginner Resource Length medium
Apache Ossie introduces a vendor-neutral specification to unify semantic models across data analytics, AI, and BI platforms. By utilizing JSON and YAML-based formats, the project aims to eliminate data fragmentation, allowing for seamless interoperability between disparate tools and systems. This initiative is critical for developers and architects building complex data pipelines who need consistent definitions across the stack. By SINGULISM Editorial Team.
Tags data-and-analytics cloud-and-infrastructure architecture-and-apis
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It's like 10,000 streams when what you need is a queue
Posted on August 7, 2026, Level beginner Resource Length short
This article explores the challenges of selecting the right messaging technology for event-driven architectures, emphasizing the importance of aligning technical choices with operational needs to avoid complexity and inefficiencies. By particular.net.
Tags architecture-and-apis data-and-analytics testing-and-quality
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Scaling Java-based real-time systems: Hidden tradeoffs of event-driven design
Posted on July 31, 2026, Level intermediate Resource Length medium
Author explores the challenges of scaling Java-based real-time systems using event-driven architecture. It highlights how eventual consistency in call signaling can lead to incorrect routing, how Kafka boot-storms disrupt autoscaling, and how Redis-backed patterns can mitigate these issues. The piece offers practical insights for developers and DevOps engineers working with Java and Kafka in high-latency environments. By Sagar Deepak Joshi.
Tags architecture-and-apis backend-development data-and-analytics
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Building real-time data pipelines with Apache Kafka
Posted on July 23, 2026, Level intermediate Resource Length medium
This article explores the challenges and best practices for building robust real-time data pipelines using Apache Kafka. It emphasizes the importance of aligning pipeline design with downstream decision-making, defining event contracts early, and ensuring observability and replayability. The piece is particularly valuable for developers and DevOps engineers working with streaming data at scale. By Tran Tien Van.
Tags data-and-analytics devops-and-ci-cd
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PostHog vs Matomo: Choosing the right self-hosted analytics tool
Posted on July 15, 2026, Level beginner Resource Length medium
PostHog and Matomo serve distinct analytics purposes: PostHog excels in product analytics for SaaS applications, while Matomo is a robust web analytics platform. Both support self-hosting via Docker, but differ in resource usage and feature sets. By Alex Thornton.
Tags data-and-analytics devops-and-ci-cd cloud-and-infrastructure miscellaneous
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Why self-hosted analytics is the only safe way to attribute ai-assistant traffic
Posted on July 12, 2026, Level beginner Resource Length medium
Matomo 5.8 introduces a dedicated AI-assistant tracking module that enables self-hosted analytics platforms to isolate genuine human demand from AI-generated noise. This update transforms self-hosted measurement from a privacy checkbox into a critical attribution control layer for SaaS founders and growth engineers navigating an era where chatbots and voice assistants generate significant referral traffic. By ImaLamer.
Tags data-and-analytics cloud-and-infrastructure ai-and-machine-learning devops-and-ci-cd
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The Arc Inversion: What nobody tells you before you deploy Azure Arc
Posted on July 6, 2026, Level beginner Resource Length medium
Azure Arc promises streamlined management for on-premises SQL Server estates, but real-world adoption reveals unexpected complexities. This post explores the 'Arc Inversion' — where perceived technical hurdles are actually the easy parts, and the true challenges lie in organizational alignment, process transformation, and cultural shifts required for successful cloud integration. By Neil Bryan.
Tags cloud-and-infrastructure data-and-analytics devops-and-ci-cd architecture-and-apis
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ggsql: A grammar of graphics for SQL
Posted on July 3, 2026, Level beginner Resource Length medium
ggsql introduces a SQL-based grammar of graphics, enabling developers and data scientists to create rich visualizations directly within SQL queries. This tool integrates seamlessly with environments like Jupyter notebooks and VS Code, streamlining the data visualization workflow. By Thomas Lin Pedersen, Teun Van den Brand, George Stagg, Hadley Wickham.
Tags data-and-analytics backend-development ai-and-machine-learning
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Plausible vs Matomo: Which analytics to self-host?
Posted on June 26, 2026, Level intermediate Resource Length medium
The article compares Plausible Community Edition and Matomo—two open‑source, self‑hosted web‑analytics platforms. By Alex Thornton.
Tags data-and-analytics security-and-privacy backend-development frontend-and-mobile leadership-and-career
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Bridging Eras: Implementing ADBC interfaces for COBOL systems
Posted on June 8, 2026, Level beginner Resource Length medium
This article explores the integration of modern data standards like Apache Arrow and ADBC with legacy COBOL systems. It challenges the notion of COBOL as merely 'legacy' code, positioning it as critical production infrastructure in banking and government. By adopting efficient, columnar memory formats, organizations can modernize data pipelines without replacing core systems, enabling high-performance analytics on decades-old codebases. By Ian Cook.
Tags data-and-analytics cloud-and-infrastructure architecture-and-apis software-engineering business-and-emerging-tech
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How to poison the data that Big Tech uses to surveil you
Posted on May 31, 2026, Level beginner Resource Length medium
The article argues that users can use their data as a strategic tool to challenge the power of tech giants. Rather than passively accepting surveillance, individuals can engage in coordinated data actions—like data strikes, poisoning, or shifting data to competitors—to disrupt algorithmic performance. By Karen Hao.
Tags cloud-and-infrastructure data-and-analytics leadership-and-career miscellaneous business-and-emerging-tech