Blog•Feb 9, 2026
Why Coinbase and Pinterest Chose StarRocks: Lakehouse-Native Design and Fast Joins at Terabyte Scale
StarRocks is attracting heavyweight users such as Coinbase, Pinterest and Fresha because it delivers sub‑second query latency on terabyte‑scale analytics while reading directly from lakehouse storage. The platform’s shared‑nothing architecture, colocated joins, caching layer and a cost‑based optimizer let it outperform Snowflake, ClickHouse and other OLAP engines on join‑heavy workloads. Companies switched to cut operational costs and eliminate the latency of pre‑aggregating data in Spark or Flink pipelines. StarRocks also supports real‑time ingestion and materialized views, simplifying data pipelines for customer‑facing analytics.
By ssp.sh (Data Engineering Blog)
Blog•Feb 6, 2026
Healing Tables: When Day-by-Day Backfills Become a Slow-Motion Disaster
A data engineering team discovered that a three‑year SCD Type 2 backfill executed day‑by‑day produced 47,000 overlapping records, timeline gaps, and unrecoverable errors. The author introduced "Healing Tables," a framework that separates change detection from period construction and rebuilds the dimension in...
By Ghost in the data
Blog•Feb 6, 2026
Is Your Machine Learning Pipeline as Efficient as It Could Be?
Machine learning teams are increasingly overlooking pipeline efficiency, a hidden driver of productivity. Slow data I/O, redundant preprocessing, and mismatched compute inflate the iteration gap, limiting the number of hypotheses tested per week. The article outlines five audit areas—data ingestion,...
By KDnuggets
Blog•Feb 4, 2026
5 Open Source Image Editing AI Models
A new KDnuggets article spotlights five open‑source AI models that enable text‑driven image editing, ranging from Black Forest Labs' FLUX.2 [klein] 9B to Alibaba Cloud's Qwen‑Image‑Edit‑2511 and newer adapters like FLUX.2 [dev] Turbo. The models deliver real‑time generation, multi‑reference editing, bilingual support,...
By KDnuggets
Blog•Feb 3, 2026
The Lakehouse Architecture | Multimodal Data, Delta Lake, and Data Engineering with R. Tyler Croy
The article introduces the lakehouse architecture as a unified platform that combines the scalability of data lakes with the performance of data warehouses. It highlights how Delta Lake brings ACID transaction support and schema enforcement to open‑source storage, enabling reliable...
By Confessions of a Data Guy
Blog•Feb 1, 2026
Converting Floats to Strings Quickly
Converting binary floating‑point numbers to decimal strings is a core step in JSON, CSV, and logging pipelines. Recent research benchmarks modern algorithms—Dragonbox, Schubfach, and Ryū—showing they are roughly ten times faster than the original Dragon4 from 1990. The study finds...
By Daniel Lemire’s blog
Blog•Jan 30, 2026
Data Engineering Career Path: From Circuits to Pipelines
The article maps a data‑engineering career trajectory that begins with hardware‑oriented roles and ends in building scalable data pipelines. It highlights how circuit‑design thinking translates into logical data modeling, while emphasizing the need to acquire SQL, Python, and cloud‑native tools....
By Confessions of a Data Guy
Blog•Jan 30, 2026
Apache Airflow vs Databricks Lakeflow | The Orchestration Battle
The article pits Apache Airflow, the open‑source workflow orchestrator, against Databricks Lakeflow, a newer Lakehouse‑native pipeline engine. It outlines core differences in architecture, integration depth with cloud data platforms, and pricing models. Airflow remains favored for heterogeneous environments, while Lakeflow...
By Confessions of a Data Guy
Blog•Jan 30, 2026
This One Polars Pattern Makes Code 10x Cleaner
The article highlights a single Polars pattern—using the pipe operator—to streamline data‑frame code, cutting boilerplate and boosting readability up to tenfold. By chaining transformations in a lazy execution graph, developers avoid intermediate variables and gain clearer, more maintainable pipelines. The...
By Confessions of a Data Guy
Blog•Jan 29, 2026
I Stress-Tested Cube's New AI Analytics Agent
In this episode, host Joe Reis shares his hobby of stress‑testing AI analytics agents and introduces his own testing framework. He evaluates Cube's new AI analytics agent, highlighting how its semantic‑layer approach prevents common failures like hallucinated tables and incorrect...
By Joe Reis (Substack)
Blog•Jan 28, 2026
New Study Identifies the Top Internal Audit Priorities for 2026
The episode highlights Gartner's new survey of 119 chief audit executives (CAEs), revealing that building a culture of innovation and leveraging data analytics and generative AI are the top internal audit priorities for 2026. While 83% of audit functions are...
By Internal Audit 360
Blog•Jan 20, 2026
Data Contracts: A Missed Opportunity
The episode examines why the data‑industry’s discussion of data contracts stalled at theory rather than implementation, contrasting it with the software world’s shift toward spec‑driven development where specifications become the system itself. It argues that data contracts should be treated...
By Data Engineering Weekly (newsletter)
Blog•Jan 16, 2026
Apache Arrow ADBC Database Drivers
Apache Arrow’s ADBC (Arrow Database Connectivity) introduces a modern, columnar‑native driver that can replace or complement traditional ODBC/JDBC stacks. By moving Arrow RecordBatches end‑to‑end, it eliminates row‑by‑row marshaling and dramatically reduces serialization overhead. Benchmarks show Python ADBC achieving roughly 275 k...
By Confessions of a Data Guy
Blog•Jan 14, 2026
Xero’s Jolly on Building a Tech Roadmap to Level Playing Field for Small Businesses
Xero has launched an AI‑powered analytics suite aimed at small‑business owners, a move driven by chief product and technology officer Diya Jolly. After acquiring Syft and Melio, Xero now offers customizable dashboards, cash‑flow managers, health scorecards and instant AI‑generated insights....
By Future Nexus (formerly Fintech Nexus)