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Marmot v2 is a leaderless distributed SQLite server with MySQL wire compatibility, employing gossip protocol, CDC-based replication, and distributed transactions.

The article emphasizes that AI SRE tools require a solid observability foundation, using ClickHouse as an ideal OLAP database for long retention and high-cardinality data, rather than relying solely on LLM models.

The article advocates for opinionated, code-first systems like Dagster, Modal, and dlt to decouple infrastructure from business logic, leveraging AI to assemble proven patterns within structured environments.

Comparative guide on choosing between micro-batching and streaming for data ingestion, covering tools and architectures suited to each approach.

DuckDB outperforms Polars for 1TB data processing with its streaming execution engine, configurable memory limits, and strong integrations, while Polars fails on large datasets despite lazy execution.

The article examines the gap between stated data needs and actual usage, highlighting analytics agents as a solution to reduce access friction, with insights from query logs and data governance challenges in enterprise settings.

TabPFN is a transformer-based foundation model for tabular data, leveraging in-context learning and synthetic datasets for fast, zero-shot predictions without retraining, featuring a scikit-learn interface.

Explores the impact of AI agents on data engineering, emphasizing the need to master fundamentals and reassess workflows to effectively orchestrate these tools.

Automated Python pipeline leveraging Pydantic AI, Gemini, and PostgreSQL to ingest news articles, extract business signals, generate startup ideas, and publish via Ghost CMS, featuring a state-based design with database as single source of truth to eliminate redundant processing.

Data democratization with AI leverages AI agents and copilots to enhance data access and management, utilizing concepts like RAG to optimize data strategies.

Showcases using ClickHouse SQL to solve complex algorithmic challenges like Advent of Code, leveraging advanced analytical functions and CTEs for stream processing without intermediate tables.

2026 forecasts highlight AI-driven metadata automation, unified Data & AI platforms, and automated governance as critical foundations for sustainable AI projects and balanced hybrid architectures.

Fifth edition of the 'Red Book' presenting data management research, with chapters on DBMS architectures, large-scale dataflow engines, query optimization, and data integration.

Predictions for data infrastructure in 2026, covering the blurring of analytical and operational systems, growth of the Apache Arrow ecosystem with maintenance challenges, broader ADBC adoption as a standard connectivity layer, and Arrow's expansion into JavaScript/TypeScript ecosystems.

The article examines AI biases despite clean data, covering data engineering concepts such as data quality, processing pipelines, and bias detection tools relevant for data engineers.

Introduces query decomposition as a technique to enhance RAG systems by preventing semantic dilution, focusing on text data processing methods.

Overview of Azure tools for ETL, including Azure Data Factory and Azure Databricks, covering data integration concepts and cloud architecture.

Covers common SQL interview questions using Employee and Department tables, focusing on key concepts like joins, aggregations, and subqueries relevant for data engineers.

Introduction of a line listing analyzer tool for pharmacovigilance, highlighting data processing techniques and data engineering workflows.

The article discusses how object storage decouples streaming data processing, rewriting rules with modern architectures and tools like Apache Iceberg for flexible management.

Palantir's Pipeline Builder is highlighted as a data engineering tool that simplifies data pipeline creation through an intuitive interface and automated features, catering to year-end requirements.

ClickStack enhances performance by integrating ClickHouse incremental materialized views, leveraging EXPLAIN ESTIMATE to automatically select the most efficient view in the HyperDX UI.

GizmoSQL is an open-source data engineering tool that leverages columnar databases such as DuckDB and the Apache Arrow ecosystem to enhance SQL query performance.

Fivetran Activations leverages AI Columns to automatically generate engagement scores and insights from warehouse data using LLMs, delivered directly into Salesforce without complex pipelines.

Fivetran's Audience Hub enables marketers to build audience segments directly on the data warehouse using a visual tool, eliminating SQL, with integrations to dbt and Looker for centralized activation.