Independent Science + Technology

Category: data-quality

Building Data Observability for Banking Pipelines

Post date November 5, 2026
Post author By Sunilkumar Reddy Eraganeni
Post categories In data-engineering, data-governance, data-lineage, data-observability, data-pipeline, data-quality, data-reconciliation, regulatory-reporting

AI-Assisted Reconciliation of Enterprise Data: Detecting and Explaining Cross-Platform Discrepancies

Post date October 30, 2026
Post author By ajaysikharam
Post categories In ai, ai-assisted-reconciliation, data-engineering, data-quality, data-reconciliation, data-regulations, data-science, lakehouse

The Hidden Cost of Real-Time Data: Why Faster Pipelines Don’t Always Deliver Better Decisions

Post date October 24, 2026
Post author By FNU Aditya Ranjan
Post categories In apache-kafka, data-architecture, data-engineering, data-pipelines, data-quality, distributed-systems, real-time-data, stream-processing

A Successful ETL Job Can Hide Thousands of Data Discrepancies

Post date October 23, 2026
Post author By RISHI SHRIVASTAVA
Post categories In data-engineering, data-quality, data-validation, etl, etl-data-reconciliation, etl-pipeline-reliability, python-pandas, sql-data-validation

Your AI Agent Is Only as Smart as Your Data Pipeline

Post date October 20, 2026
Post author By Sunilkumar Reddy Eraganeni
Post categories In ai-agent-reliability, ai-data-pipelines, ai-observability, data-freshness, data-quality, mlops, rag, vector-databases

How I Proved a 12-Million-Record Data Migration Was Actually Correct

Post date October 10, 2026
Post author By Advait Trivedi
Post categories In data-engineering, data-migration, data-quality, database, engineering-leadership, legacy-modernization, microservices, software-architecture

How I Proved a 12-Million-Record Data Migration Was Actually Correct

Post date October 10, 2026
Post author By Advait Trivedi
Post categories In data-engineering, data-migration, data-quality, database, engineering-leadership, legacy-modernization, microservices, software-architecture

Why a Five-Cent Earnings Beat Isn’t Always What It Seems

Post date October 9, 2026
Post author By Sagar Bonthu
Post categories In ai, data-engineering, data-quality, financial-data, fintech, llm, machine-learning, software-architecture

Designing AML Pipelines for Data Quality, Lineage, and Drift Detection

Post date September 29, 2026
Post author By SHUBHAM CHATURVEDI
Post categories In anti-money-laundering, data-engineering, data-governance, data-lineage, data-quality, financial-crime-compliance, regtech, transaction-monitoring

A Self-Updating CRM Can Still Teach AI the Wrong Business

Post date September 25, 2026
Post author By Pratik Thakker
Post categories In ai-agents, artificial-intelligence, crm, data-governance, data-quality, hubspot, revops, smart-crm

What 15 Years of Pre-AI CPQ Got Right That AI Teams Now Re-Learn

Post date September 7, 2026
Post author By Eshaan Jain
Post categories In agentic-ai, cpq, data-modeling, data-quality, enterprise-ai, revenue-operations, salesforce, salesforce-cpq

Building Data Analytics Products That Turn Data Into Action-Ready Decisions

Post date September 3, 2026
Post author By Tanisha Kulkarni
Post categories In data-analytics, data-engineering, data-quality, decision-intelligence, explainable-analytics, financial-data-governance, fintech, product-management

Fivetran vs. Apache SeaTunnel: Managed ELT or Open-Source Control?

Post date August 31, 2026
Post author By Zhou Jieguang
Post categories In apache-seatunnel, data-pipeline, data-quality, data-science, data-security, fivetran-alternative, fivetran-vs-seatunnel, managed-elt

Why AI Agents Fail in Messy CRMs: A Four-Layer Readiness Test for Revenue Teams

Post date August 28, 2026
Post author By Pratik Thakker
Post categories In agentic-ai, ai-agents, ai-automation, crm, data-quality, hubspot, revops, sales-automation

A Reference Architecture for AI-Driven Healthcare Data Engineering

Post date August 21, 2026
Post author By RISHI SHRIVASTAVA
Post categories In ai-healthcare-data-platform, data-engineering, data-quality, healthcare-ai, healthcare-analytics, healthcare-data-governance, healthcare-data-quality, predictive-analytics

SMTP Status Data Is a Decision System, Not Just an Error Log

Post date August 13, 2026
Post author By Wojtek Blazalek
Post categories In data-engineering, data-quality, developer-tools, email, email-deliverability, internet-protocols, observability, smtp

Bad Data Doesn’t Care How Good Your AI Model Is

Post date July 24, 2026
Post author By santoshdurgam
Post categories In ai-data-governance, ai-use-cases, anomaly-detection, data-infrastructure, data-quality, enterprise-ai, production-ai, trusted-data

Confident, Fluent, and Wrong: What Happens When Your AI Agent Trusts Bad Data

Post date June 22, 2026
Post author By Swapneswar Sundar Ray
Post categories In agentic-ai-data-quality, ai-agents, ai-engineering, ai-observability-for-rag, data-quality, enterprise-ai-data-governance, production-ai-agent-failures, rag-data-freshness

AI Labs Aren’t Looking for More Data, They’re Looking for Better Data Partners

Post date June 11, 2026
Post author By Yunfei Z
Post categories In ai-infrastructure, ai-training-data, data-engineering, data-quality, enterprise-ai, frontier-ai-labs, multimodal-data, synthetic-data

AI First or Data First? Why Scale Requires a Balanced Approach

Post date June 8, 2026
Post author By Lanre Shittu
Post categories In ai-adoption, ai-strategy, data-governance, data-observability, data-quality, enterprise-ai, ml-pipelines, mlops

Your Asset Performance Management Software Is Only as Good as Your Data

Post date June 1, 2026
Post author By Shlomo Friman
Post categories In data-governance, data-lineage, data-quality, enterprise-data, enterprise-data-platforms, master-data-management, predictive-modeling, reliability-engineering

Why Finance Data Quality Needs Rule Engines, Not ML Hype

Post date May 20, 2026
Post author By Nithish
Post categories In audit-trail, auditability, data-governance, data-quality, data-validation, financial-data, reference-data, regulatory-reporting

How Latency, Drift, and Cost Quietly Undermine Data Pipelines

Post date May 6, 2026
Post author By Seshendranath Balla
Post categories In aws-cost-optimization, data-drift, data-engineering, data-observability, data-pipelines, data-quality, kafka, spark

Why More Data Doesn’t Guarantee Better Insights in Modern Data Systems

Post date May 5, 2026
Post author By Seshendranath Balla
Post categories In data-engineering, data-observability, data-quality, data-validation, enterprise-data-engineering, feature-selection, pipeline-reliability, sampling-bias-in-test-sets

Your Dashboard Isn’t Wrong – Your KPI Logic Is

Post date April 28, 2026
Post author By Prateek A
Post categories In bi-reporting-errors, business-intelligence, consistent-business-metrics, dashboard-data-mismatch, data-analytics, data-governance-kpis, data-modeling-best-practices, data-quality

Your Customers Don’t Care About Your Data Strategy — Until It Fails Them

Post date April 8, 2026
Post author By Melissa
Post categories In ai-governance, customer-experience, data-governance, data-management, data-quality, digital-trust, generative-ai, good-company

Your Analytics Stack Is Shipping Interpretation Bugs

Post date April 7, 2026
Post author By Norm Bond
Post categories In ai-agents, Analytics, artificial-intelligence, business-intelligence, dashboards, data-engineering, data-quality, startups

I Built a RAG System for Our Analytics Team. It Worked Great Until We Added Real Data.

Post date March 18, 2026
Post author By Anusha Kovi
Post categories In ai-analytics, data-engineering, data-governance, data-quality, enterprise-analytics, llms, rag, retrieval-augmented-generation

Building Reliable AI Systems with AI Observability

Post date March 16, 2026
Post author By Venkateswara Varma Srivatsavaya
Post categories In ai-governance, ai-model-reliability, ai-observability, data-lineage, data-privacy, data-quality, llm-observability, model-drift-detection

The Hidden Cost of Bad Data: Why It’s Undermining Your AI Strategy

Post date December 2, 2025
Post author By Ruben Melkonian
Post categories In ai-strategy, artificial-intelligence, bad-data, data-accuracy, data-auditing, data-management, data-quality, hackernoon-top-story

When the System Works but the Data Lies: Notes on Survivorship Bias in Large-Scale ML Pipelines

Post date December 1, 2025
Post author By Jeet Mehta
Post categories In data-engineering, data-observability, data-quality, distributed-systems, large-scale-ml-pipelines, mlops, production-engineering, survivorship-bias

Stop Hacking SQL: How to Build a Scalable Query Automation System

Post date November 26, 2025
Post author By Ivan Timonov
Post categories In data-engineering, data-quality, query-automation-system, scalable-query-automation, sql, sql-automation, sql-hacking, sql-query-automation-system

Data Quality on Spark, Part 2: Soda

Post date November 25, 2025
Post author By Ivan Kurchenko
Post categories In data-engineering, data-quality, python, soda, spark

How to Build a Winning Proposal for a Data Quality Project

Post date November 20, 2025
Post author By Melissa
Post categories In business-intelligence, data-governance, data-management, data-quality, digital-transformation, good-company, melissa-data-tools, roi-of-data-quality-projects

Codeless Test Automation is Beneficial, but Not a Complete Replacement for All Testing

Post date April 5, 2025
Post author By Raghavender Vanam
Post categories In automated-qa-workflows, code quality, data-quality, deep-programming-skills, product-manager, qa, qa-automation-engineer, software-quality-assurance

Data Quality is All You Need: Why Synthetic Data Is Not A Replacement For High-Quality Data

Post date August 20, 2024
Post author By yaw.etse
Post categories In ai-training-data, data-quality, data-science, machine-learning, model-training, synthetic-data, synthetic-data-for-ml, training-your-ai

When and How Should You Use Merge Purge Software?

Post date December 5, 2021
Post author By Javeria Gauhar
Post categories In data-profile, data-quality, database, merge-purge, merging-data, murge-purge-software, programming, purging-data

Five Data Quality Tools You Should Know

Post date December 2, 2021
Post author By Michael
Post categories In bad-data, data, data-architecture, data-quality, data-quality-tools, hackernoon-top-story, quality-data, software-development, web-monetization

How To Improve Data Quality for More Efficient Business Operations

Post date October 25, 2021
Post author By Yuri Danilov
Post categories In business-data, data-inconsistency-examples, data-quality, how-to-fix-poor-quality-data, how-to-improve-data-quality, software-development, sql, why-is-data-quality-an-issue

$15M Lost due to low Quality Data

Post date September 25, 2021
Post author By newsletters
Post categories In automated-monitoring, business-critical-data, data, data-quality, data-quality-management, hackernoon, poor-data-quality, security

How can a shared Slack channel improve your data quality?

Post date May 25, 2021
Post author By Taavi Rehemägi
Post categories In aws, data-quality, data-science, programming, serverless, software engineering, software-development, sre

7 Gotchas(!) Data Engineers Need to Watch Out for in an ML Project

Post date March 7, 2021
Post author By Sandeep Uttamchandani
Post categories In Analytics, data-engineering, data-quality, data-science, dataops, devops, machine-learning

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