klaviyo.tech3h ago
The Future of Data Science and Analytics Engineering at Klaviyo
The post concludes a series on Klaviyo's AI analytics harness and looks at the future of data science and analytics engineering there.
Medium6h ago
New Data Science Methods Aim to Make Human Brain Studies More Precise
New data science methods are being developed to make human brain imaging studies more precise.
DEV4h ago
How to Trust Your Agent: Data Migration in Healthcare
Healthcare organizations integrating AI into data migration raise questions about trusting AI agents.
DEV6h ago
Enhancing AWS Glue Data Quality Pipelines with Context-Aware Rule Discovery for Great Expectations
DataBuck SDK is presented as a way to discover context-aware validation rules for AWS Glue data quality pipelines using Great Expectations.
Medium5h ago
ProtoDB: an embedded, immutable, transactional object database for Python
Introduces ProtoDB, an embedded immutable transactional object database for Python without a server or SQL.
Medium6h ago
Your Data Lake Has Millions of Files. Spark Is Paying the Price.
Article discusses why scaling a Spark cluster fails to fix slow pipelines over large data lakes and offers solutions.
Forbes7h ago
AI Data Overload And AI Speeding: Inside Different Industries
AI is expected to drive a near tripling of data volumes over the next four years, with notes on industry impacts.
javascript.plainenglish.io10h ago
RAG with JavaScript and Vector Databases
Tutorial on building retrieval-augmented generation applications with JavaScript and vector databases.
DEV11h ago
Dubai Real Estate Transactions Dataset: Off-Plan vs Ready in Python, From 500 Free Sales
A dataset analysis comparing off-plan and ready Dubai real estate sales using Python on hundreds of free transactions.
DEV10h ago
How I built a fully offline ID card OCR, trained on synthetic data
A developer describes building an offline OCR system for Indonesian ID cards trained on synthetic data.
Medium10h ago
5 SQL Patterns I Stopped Writing as a Data Engineer
A data engineer lists five SQL query patterns that run without errors but can silently corrupt tables.
Medium12h ago
15½ Unwritten Rules of Data Engineering
A set of practical, unwritten lessons about working as a data engineer that are not found in typical runbooks.
Medium10h ago
Transforming Banking Portfolio Management Through Bulk Client Data Analysis
An approach to analyzing bulk client data to manage a large banking portfolio is discussed.
Medium14h ago
How Data Science Is Helping Saudi Businesses Improve Operational Efficiency
An article explains how data science is being used by Saudi businesses to improve operational efficiency.
Hacker News14h ago
The Dawn of the Data Intelligence Engineer
An article discusses the emerging role of the data intelligence engineer.
DEV12h ago
Data Agent Readiness: Is Genie (and Fabric Agents) Really a Modeling Problem?
Discusses whether Genie and Fabric Agents are fundamentally a data modeling problem for data agent readiness.
Medium15h ago
Turning Enterprise Data Into Smarter Business Decisions With AI and Data Science
The article explains how enterprises can use data science and AI to turn their data into business decisions.
Medium13h ago
Linux for Data Engineers: From the Terminal to the Operating System
A guide to using Linux terminal and operating system tools for data engineering work.
Medium13h ago
Think in SQL: LEFT JOIN — Find What’s Missing in Your Data
A SQL tutorial on using LEFT JOIN to find rows with no matching records in a dataset.
DEV13h ago
Galaxy is building an open-source data infrastructure, and they just released their data movement engine for replication, ingestion, and change data capture. Launching today on Product Hunt. https://producthunt.com/products/galaxy
Galaxy launches an open-source data infrastructure engine for replication, ingestion, and change data capture.
DEV3h ago
Postgres to Redshift: A CDC Walkthrough That Ends in One External Schema
A walkthrough of change data capture from Postgres into Redshift using an external schema.
DEV3h ago
Listing Search That Survives Stale Feeds — Four Retrieval Signals for Property Discovery
A property listing search approach uses four retrieval signals to handle stale feed data.
DEV14h ago
Fabric or Databricks? How I Decide
A practitioner explains how they decide between Microsoft Fabric and Databricks for data work.
News4h ago
Anamoly Detection
Anomaly detection is an unsupervised or semi-supervised algorithm type that flags abnormal observations in data.
levelup.gitconnected.com5h ago
Apache Iceberg vs Delta Lake: A Practical Performance Benchmark with Python
A practical Python benchmark compares Apache Iceberg and Delta Lake performance for data pipeline workloads.
DEV7h ago
Laravel chunk() Silently Skips Half Your Rows (+3 Eloquent Mistakes on Big Tables)
A Laravel chunk() behavior issue that silently skips rows when processing large database tables, along with other Eloquent mistakes.
blog.devgenius.io3h ago
Seven Charts, One Call: Model Evaluation in CanvasXpress
A description of how CanvasXpress charts model evaluation metrics such as ROC curves, confusion matrices, and calibration plots.
python.plainenglish.io1d ago
You’re Using Vector Databases Wrong: Why Plain Files Are Enough for Most Small AI Apps
Argues that plain files suffice for many small AI apps instead of a vector database.
News1d ago
4 Claude Skills Every Data Scientist Needs in 2027
An article lists Claude skills it claims data scientists will need in 2027.
Forbes1d ago
Why Fragmented Data Estates Can Drain Leaders' AI Budgets
An article arguing that fragmented data estates can drain AI budgets and that data needs enough meaning for AI agents to use it.
News1d ago
Not Every AI Agent Needs RAG. Sometimes a Markdown Folder Is Enough.
The article argues that AI agents can often use a markdown folder for knowledge instead of retrieval-augmented generation with embeddings and vector databases.
levelup.gitconnected.com2d ago
Pandas vs Polars vs DuckDB: Which Should You Learn?
An article compares Pandas, Polars, and DuckDB for Python data analysis and suggests which a beginner should learn.
blog.gopenai.com1d ago
How to Fine-Tune an LLM With LoRA: Rank, Target Modules and Evaluations That Prove It Worked
A hands-on tutorial on fine-tuning an LLM with LoRA, covering rank selection and evaluation.
News2d ago
AI Can Read a Million Logs. But Can It Find the Right Root Cause?
The article examines how context engineering enables AI-assisted incident root cause analysis from large volumes of logs.
Hacker News1d ago
PostgreSQL 18.7, 17.12, 16.16, 15.20, 14.25, and 19 RC 2 Released
PostgreSQL releases 18.7, 17.12, 16.16, 15.20, 14.25 and a 19 release candidate with updated fixes.
Medium1d ago
Positional Encoding From First Principles #1: Why Transformers Can’t See Word Order
Part 1 of a series explaining positional encoding in transformers and why they cannot inherently perceive word order.
News1d ago
PDF Week 2026: advancing Open PDF technology for the AI Era
PDF Week 2026 presentations focus on unlocking information inside PDF documents for AI use.
Medium2d ago
ML From First Principles #0: The Series I Wish I Had (Start Here)
This is the opening installment of a series explaining machine learning concepts from first principles.
Phys.org22h ago
Early signs of stock market instability may appear in how traders place orders
Research examines how traders' order placement patterns may signal early signs of stock market instability.
Phys.org22h ago
Using AI to predict how bioplastics behave under heat
An ANIPH study shows how machine learning models can predict how PHB and PHBV bioplastics behave under heat.
News1d ago
Inside MineTech Pro ERP: From Digital Twins & Sensorless Hydraulic Testing to Signal-Driven Heavy…
Describes an ERP system for mining fleet maintenance using digital twins and sensorless hydraulic testing.
The Guardian1d ago
NHS England deletes ‘misleading’ claim 137 trusts benefiting from Palantir AI tools
The Guardian reports NHS England removed a misleading claim that 137 trusts were benefiting from Palantir AI tools after finding many trusts barely used them.
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