Data Science Tech Brief By HackerNoon

By HackerNoon

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Episodes: 99

Description

Learn the latest data science updates in the tech world.

Episode Date
Sampling Ad Exchange Events at Scale: What We Kept, What We Dropped, and Why
Nov 03, 2026
83 Blog Posts To Learn About Metrics
Nov 02, 2026
Why Your Python Cache Does the Same Work Twice (P.S: GIL Won’t Save You)
Nov 02, 2026
AI-Assisted Reconciliation of Enterprise Data: Detecting and Explaining Cross-Platform Discrepancies
Oct 31, 2026
REPL While It Works: Inspect a Running Python Program Without Pausing It
Oct 30, 2026
When a Dashboard Looks Perfect but the Data Is Wrong
Oct 30, 2026
No One Holds the Key: Threshold ECDSA, Part 1
Oct 29, 2026
OData at Scale: When to Use CDS Views, RAP, or API Business Hub in Hybrid SAP
Oct 29, 2026
Your Drift Dashboard Can Be Green While Your Model Is Failing
Oct 28, 2026
Why Faster Algorithms Aren't Enough to Build High-Performance Data Platforms
Oct 28, 2026
Why Modern Data Lakehouses Fail at Scale: The Metadata Problem Nobody Talks About
Oct 25, 2026
The Hidden Cost of Real-Time Data: Why Faster Pipelines Don't Always Deliver Better Decisions
Oct 25, 2026
On November 1, Your 24/7 Dashboard Will Report a 25-Hour Day
Oct 23, 2026
How to Solve Blind Spots in Your Architecture by Building a Production-Grade Uptime SaaS
Oct 22, 2026
One Rogue pip install Away from a Breach
Oct 22, 2026
Stop Using For-Loops for Everything: Advanced Python Iteration Patterns You Should Know.
Oct 19, 2026
Why Knowledge Graphs and Ontologies Are Making a Comeback in the Age of AI
Oct 15, 2026
Building an Auditable Pipeline for Cross-Language News Coverage Analysis
Oct 13, 2026
How Shallow and Deep Copies Work in Python
Oct 13, 2026
How I Fixed a Data Ingestion Bottleneck With Date Partitioning
Oct 12, 2026
224 Blog Posts To Learn About Web Scraping
Oct 01, 2026
Mastering Databricks: A Developer’s Guide to Lakehouse Architecture & PySpark Pipelines
Sep 17, 2026
1.89 Seasons: A Baseball Experiment About Hiring and Human Judgment
Sep 11, 2026
Knowledge Graphs: What They Are, Where They Live, and How to Build One
Sep 10, 2026
I Built an AI Job Tracker While Job Hunting: The AI Was the Easy Part
Sep 03, 2026
AI Agents Are Opening Up, but What About the Data?
Sep 02, 2026
Scaling a Kafka Consumer From 4K to 25K Events per Second While Preserving Ordering
Sep 02, 2026
Modeling Valve-Closure Pressure Spikes in Miniature Fluid Systems
Sep 01, 2026
Fivetran vs. Apache SeaTunnel: Managed ELT or Open-Source Control?
Sep 01, 2026
The Narrative Wars: Tracking Public Web Influence Operations Across the Globe
Aug 29, 2026
Teaching Funnels To Understand Non-Linear Customer Journeys
Aug 28, 2026
Building an AI-Powered A2P SMS Fraud Detection Platform Using XGBoost: A Machine Learning Approach
Aug 27, 2026
Measuring Decision Confidence in Business Intelligence and Analytics
Aug 26, 2026
Your Healthcare Integration Is Only as Good as Its Data Mapping Decisions
Aug 17, 2026
Choosing a Python Sentence Boundary Detection Library
Aug 13, 2026
This Is How Observability Starts - With Modeling Pipeline Runs
Aug 04, 2026
Why AI-Assisted Data Engineering Needs Executable Specifications
Aug 04, 2026
Dashboard Trust Is a Data Governance Problem, Not a BI Tool Problem
Aug 03, 2026
I Had 1,011 SaaS Users, but Only 3 Core Actions and $0 MRR
Aug 03, 2026
From Python Script Hell to a Modern Data Integration Framework
Jul 30, 2026
Why Data Pipelines Keep Breaking—and How Data Contracts Fix Them
Jul 23, 2026
Your Dashboards Are Production Systems. Start Monitoring Them Like One.
Jul 21, 2026
The Hidden Work Behind Every Dashboard: Why Enterprise Data Validation Takes Longer Than You Think
Jul 19, 2026
67 Blog Posts To Learn About Ab Testing
Jul 05, 2026
I Tried Every Way to Scrape Amazon in 2026. Here is What Actually Works
Jul 04, 2026
How We Built a Per-Plant CO2 Dataset for 4,551 Power Stations Worldwide
Jun 25, 2026
Eliminating Data Latency with Event-Driven Pipelines at Enterprise Scale
Jun 25, 2026
Scaling Self-Service Analytics in Regulated Banking With Metadata-Driven Design
Jun 23, 2026
How to Rotate Proxies Without Breaking Login Sessions
Jun 23, 2026
I Built an Open-Source Firebase Analytics Alternative Because I Hit 1M Events/Day Once Too Many
Jun 20, 2026
Your Redshift Cluster Is Probably Idle 85% of the Time — And You're Paying for All of It
Jun 20, 2026
What the Real Operating Data on AI Agents Tells Me as an Investor
Jun 18, 2026
Building Data Quality Into the Pipeline Instead of Cleaning Up After It
Jun 17, 2026
Why Speed Matters: How Performance in Analytics Saves Business from "Digital Paralysis"
Jun 17, 2026
Open Data Is Not a Product. Here's What It Takes to Make It One.
Jun 12, 2026
Why Scrapers Fail: Headers, Sessions, IP Reputation, and Request Patterns
Jun 11, 2026
I Built an AI-Assisted Data Quality Layer for Operations Dashboards
Jun 03, 2026
The Source Code Isn't Hidden - You Just Gotta Refocus Your Lens
Jun 03, 2026
Why Your Data Governance Framework Is Failing (And What You Can Do About It)
Jun 02, 2026
The Cloud Data Leak: Architecting SQL to Stop Financial Bleeding
Jun 02, 2026
Principal Components Analysis in TypeScript (Part 4): Turning PCA Into Interpretable Factor Analysis
May 30, 2026
Data Engineering Teams Need a Different Version of Agile
May 28, 2026
The LLM Veneer: When AI Sounds Smart but Has Nothing Real to Reason Over
May 27, 2026
Bad Ingestion Architecture Generates Million Dollar Snowflake and Databricks Bills
May 22, 2026
Optimizing Distributed Data Processing for ML at Scale
May 21, 2026
Why Finance Data Quality Needs Rule Engines, Not ML Hype
May 21, 2026
156 Blog Posts To Learn About Business Intelligence
May 20, 2026
Why Your Marketplace Scraper Keeps Getting Blocked (And Why It’s Not a Code Problem)
May 19, 2026
How I Decoded My Apple Watch Metrics: Taking a Look At The Raw Numbers (Part 2)
May 09, 2026
Why AI Agents Are Creating a New Kind of Data Engineer
May 09, 2026
The Architectural Limits of Data Lakes and the Rise of Lakehouses
May 08, 2026
The Economic Case for Investing in Youth Education
May 07, 2026
HiveMQ and TimescaleDB: It Just Works!
May 07, 2026
102 Blog Posts To Learn About Datasets
May 06, 2026
Why More Data Doesn’t Guarantee Better Insights in Modern Data Systems
May 06, 2026
500 Blog Posts To Learn About Data
May 05, 2026
228 Blog Posts To Learn About Data Visualization
May 05, 2026
The Hard Lessons of Managing a Data Science Team
May 04, 2026
95 Blog Posts To Learn About Data Storage
May 04, 2026
70 Blog Posts To Learn About Data Scraping
May 03, 2026
500 Blog Posts To Learn About Data Science
May 03, 2026
110 Blog Posts To Learn About Data Management
May 02, 2026
402 Blog Posts To Learn About Data Analytics
May 01, 2026
50 Blog Posts To Learn About Data Collection
May 01, 2026
427 Blog Posts To Learn About Data Analysis
Apr 30, 2026
Your Dashboard Isn’t Wrong - Your KPI Logic Is
Apr 29, 2026
The Hidden Cost of Scraping Everything (and Why Datasets Win)
Apr 28, 2026
500 Blog Posts To Learn About Big Data
Apr 28, 2026
263 Blog Posts To Learn About Analytics
Apr 27, 2026
They Got Lost in the Transformer, Episode 1: What Even Is an Embedding?
Apr 24, 2026
Kafka vs Azure Event Hubs: The Tradeoffs You Only See in Production
Apr 24, 2026
Clarifying the Difference Between Data Strategy, Analytics, and AI Governance
Feb 06, 2026
The “Store Everything” Cloud Model Is Breaking Under Modern AI Workloads
Feb 06, 2026
AI Belongs Inside DataOps, Not Just at the End of the Pipeline
Feb 05, 2026
Stop Torturing Your Data: How to Automate Rigor With AI
Feb 04, 2026
Minimum Incident Lineage (MIL): A Run-Level Evidence Standard for Reproducible Data Incidents
Feb 04, 2026
5 Ways Spark 4.1 Moves Data Engineering From Manual Pipelines to Intent-Driven Design
Feb 03, 2026
Beyond Prediction: Econometric Data Science for Measuring True Business Impact
Feb 03, 2026
Designing Economic Intelligence: Econometrics-First Approaches in Data Science
Jan 31, 2026
From Forecasting to BI: Inside Shravanthi Ashwin Kumar’s Data-Driven Finance Playbook
Jan 30, 2026