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Thoughts on tech, data, policy, and philosophy.
AI Weekly: Four Frontier Models in Four Days
Week of August 11 to 18, 2026...
AI Weekly: Four Frontier Models in Four Days
The Student Loan Trap: How Federal Aid Inflated Tuition and Left Borrowers Behind
TL;DR American higher education has become extraordinarily expensive, and the primary mechanism driving that expense is the federal student loan progr...
Migrating to Apache Iceberg: Strategies for Every Source System
This is Part 15, the final article of a 15-part Apache Iceberg Masterclass. Part 14 covered hands-on Dremio Cloud....
Mastering Apache Iceberg v3 Deletion Vectors for High-Throughput Streaming Ingest
The Decoupled Data Lakehouse: Multi-Engine Freedom with Open REST Catalogs
The Five Layers of an Agentic Lakehouse
Goal-Directed Data Quality Agents: Anomaly Quarantine on Apache Iceberg
Managing the TCO of Agentic Analytics: Token Budgets, Query Throttles, and the Economics of Autonomy
Metric Contracts in 2026: Standardizing Business Logic Across Multi-Agent Frameworks
Policy-Aware Lakehouse Telemetry: Building Auditable AI Records on Apache Iceberg for the EU AI Act Era
Query Routing at Machine Scale: Multi-Engine Workload Distribution for the Agentic Lakehouse
Securing the Agentic Lakehouse Gateway: A Threat Model for Prompt Injection, Exfiltration, and the Firewall That Reads Sentences
Semantic Layer Federation: One Meaning for Data That Lives Everywhere
Building Lightweight Serverless Ingestion to Apache Iceberg with PyIceberg and DuckDB
Building Stateless AI Tool Gateways with FastMCP, the 2026 MCP Spec, and Kubernetes
Write-Audit-Publish with Apache Iceberg Branches: CI/CD for Your Data
Zero-Copy Warehouse Modernization: Moving to Apache Iceberg Without Downtime
Hands-On with Apache Iceberg Using Dremio Cloud
This is Part 14 of a 15-part Apache Iceberg Masterclass. Part 13 covered streaming approaches....
Apache Data Lakehouse Weekly: August 5 — August 12, 2026
The Plan and the Worker: Two Open Specifications for Agent Harnesses
Every agent harness solves the same two problems, and almost every one of them solves both privately....
Every agent harness solves the same two problems, and almost every one of them solves both…
Apache Data Lakehouse Weekly: August 5 - August 12, 2026
This Week at a Glance...
AI Weekly: GPT-5.6-Cyber, Muse Glimmer, and the Agent Browser
Week of August 5 to August 12, 2026...
AI Weekly: GPT-5.6-Cyber, Muse Glimmer, and the Agent Browser
When Subsidies Raise the Price: Government Financing and the Cost of Healthcare, Housing, and Education
TL;DR Three of the largest household costs, healthcare, housing, and education, have outpaced general inflation for four consecutive decades....
Approaches to Streaming Data into Apache Iceberg Tables
This is Part 13 of a 15-part Apache Iceberg Masterclass. Part 12 covered Python and MPP engines....
Apache Arrow Flight and ADBC, and Why Database Connectivity Finally Went Columnar
A data scientist runs a query against a warehouse....
Apache Arrow Flight and ADBC, and Why Database Connectivity Finally Went Columnar
The Plan and the Worker: Two Open Specifications for Agent Harnesses
Apache Data Lakehouse Weekly: July 29 to August 5, 2026
This was a week of decisions....
Apache Data Lakehouse Weekly: July 29 to August 5, 2026
AI Weekly: The Week Frontier Pricing Broke
Two of the largest models ever released shipped inside five days of each other, and one of them costs a quarter of what the leader charges....
AI Weekly: The Week Frontier Pricing Broke
Apache Arrow Flight and ADBC, and Why Database Connectivity Finally Went Columnar
The Farm Bill Problem: How Agricultural Policy Hurts the Farmers It Claims to Protect
TL;DR American agricultural policy is one of the most consequential and least examined sets of government programs affecting the economy, the environm...
Apache Polaris 1.7.0 and the Quiet Work of Making a Catalog Trustworthy
A Spark job commits a table update....
Apache Polaris 1.7.0 and the Quiet Work of Making a Catalog Trustworthy
Using Apache Iceberg with Python and MPP Query Engines
This is Part 12 of a 15-part Apache Iceberg Masterclass. Part 11 covered metadata tables....
Budgeting for Agentic Analytics When Every Question Costs Something Different
The Five Layers of an Agentic Lakehouse and Where the MCP Server Sits
Autonomous Table Optimization When Your Query Workload Stops Being Predictable
Building Apache Iceberg Lakehouses That Run Without an Internet Connection
Wiring Analytical Queries to Transactional APIs in Closed-Loop Decision Agents
Surviving Optimistic Commit Collisions When Hundreds of Agents Write to Iceberg
How Iceberg V3 Deletion Vectors Fixed Merge-on-Read for Streaming Tables
How Iceberg V3 Variant Shredding Changed Semi-Structured Data on S3 Tables
Reading the Apache Iceberg V4 Proposals Before They Land
Building an Honest TCO Model for Open Lakehouses and Proprietary Warehouses
Why Agentic AI Needs a Governed Semantic Layer Behind the Model Context Protocol
Moving From Supply Chain Dashboards to Decision Loops With the Model Context Protocol
Metric Contracts as the Interface AI Agents Actually Need
Cross-Cloud Credential Vending in Apache Polaris and the End of Permanent Storage Keys
Designing Policy-Aware Telemetry Tables for AI Systems in Apache Iceberg
Defending the Lakehouse Gateway Against Prompt Injection and Data Exfiltration
How the Iceberg REST Catalog Turned Into the Lakehouse Control Plane
A Migration Playbook for Moving Legacy Warehouses onto Apache Iceberg
What Zero-Copy Data Sharing Actually Does Between Salesforce, Snowflake, and Databricks
Apache Polaris 1.7.0 and the Quiet Work of Making a Catalog Trustworthy
Designing Batch Pipelines That Write Well Into Apache Iceberg
Apache Iceberg Support Across the Major Hyperscalers
File Encryption for the Lakehouse: The Terminology, the Machinery, and the Hard Problem of Interoperable Encrypted Tables
For years, the open lakehouse had an honest gap that practitioners whispered about and slide decks skipped: encryption....
File Encryption for the Lakehouse: The Terminology, the Machinery, and the Hard Problem of…
AI Weekly: Opus 5 Lands, MCP Goes Stateless, and AMD Ships Helios
Week of July 22 to July 29, 2026...
AI Weekly: Opus 5 Lands, MCP Goes Stateless, and AMD Ships Helios
Apache Data Lakehouse Weekly: July 21 to July 29, 2026
This was a week where the open lakehouse stack spent most of its energy on contracts....
A Deep Dive Into File Compression: How Data Gets Smaller, Why Codecs Differ, and What to Actually Use in the Lakehouse
Somewhere in your data platform right now, a single configuration property is quietly deciding a meaningful percentage of your storage bill, your quer...
A Reader's Guide to My Books: Which One to Pick Up, Depending on What You're Building
The question I get most often after talks, after podcast episodes, and in newsletter replies is a simple one: where do I start with your books?...
The Inner Work of Freedom: Confronting the Fear and Hate in Your Own Heart
TL;DR The case for a freer world is usually made in the language of constitutions, economics, and policy....
Apache Iceberg Metadata Tables: Querying the Internals
This is Part 11 of a 15-part Apache Iceberg Masterclass. Part 10 covered maintenance operations....
Guardrails for Analytics Agents That Do More Than Answer Questions
Building Agent Telemetry Tables in Iceberg That Survive an Audit
What Agentic Analytics Actually Costs, and How to Keep It Bounded
Running an Apache Iceberg Lakehouse With No Internet Connection
When the Query Optimizer Starts Managing Its Own Materializations
Why AI Agents Fail on Raw Data, and What to Give Them Instead
Why Iceberg V4 Wants to Retire Equality Deletes, and What Streaming Teams Should Do About It
The Five Layers Between Your Lakehouse and a Trustworthy Agent
Apache Fluss and Kafka Solve Different Problems in an Iceberg Pipeline
Serving Sub-Second Queries Over an Iceberg Lakehouse With a Hot Tier
Surviving Commit Conflicts When Dozens of Writers Hit the Same Iceberg Table
The Jackson 3 Problem in Apache Iceberg, and What It Means for Your Code
Wiring an AI Agent to Apache Polaris with the Model Context Protocol
Governing Iceberg Tables Across Regions Without Three Sets of Permissions
Federating Oracle With an Open Lakehouse Instead of Migrating It
The Parquet Versioning Problem, and Why Iceberg Cares About It
Building Iceberg Pipelines in Python Without Standing Up Spark
The File Format Renaissance: Parquet, Lance, Vortex, Nimble, BtrBlocks, and the New Physics of Columnar Storage
For a decade, the file format layer was the most settled real estate in data....
Governing What Agents Cost You
Every AI Model Family That Matters in Mid-2026
Freshness Is a Contract, Not a Note on a Dashboard
The Apache Iceberg Market in the Middle of 2026
The Whole Lakehouse Fits on Your Laptop Now
Iceberg's Next Version Depends on Decisions Being Made in Parquet
Building a Lakehouse That Stays Inside the Border
Table Maintenance Stopped Being a Product
The Model Class Enterprise Data Teams Are Not Using Yet
Three Vendors Are Rebuilding the Path From Transaction to Agent
What Zero-Copy Actually Costs
Apache Data Lakehouse Weekly: July 16 to July 23, 2026
The lakehouse community spent this week deciding what belongs in the format and what belongs outside it....
The Filters We Build: Scams, Slop, and the Search for Signal, From Radio Ads to AI
The Breakdown of the Open Lakehouse in 2026: Iceberg, Arrow, Polaris, Parquet, and Ossie, and How to Actually Build One
Understanding the RAMpocalypse: An Economic Autopsy of the Great Memory Shortage and What Comes Next
The Own Goal: What the Hugging Face Breach Reveals About Why Open Models Are a Security Necessity
Libertarians and the Environment: A Better Case for a Cleaner World
TL;DR Libertarians are not anti-environment....
AI and the Labor Market: Fear, Evidence, and a Free People's Response
TL;DR The fear that machines will destroy all the jobs is as old as the machines themselves....
Active Analytics Loops for AI Action Agents
Apache Polaris and Multi-Engine Iceberg Catalogs
Automated Materialized Views in Dremio
The Chase-Catch Gap in Enterprise AI Agents
Data Lakehouse Open Standards for AI Agents
Dremio Lakehouse AI Report: Agentic Lessons
Five-Layer Agentic Lakehouse Architecture
GSA MCP Servers for Open Data AI Agents
Hybrid Lakehouse Design for Regulated Markets
Iceberg v3 Deletion Vectors and Faster DML
Iceberg Variant Type for AI JSON Data
Iceberg Concurrency for AI Agent Writes
MCP Stateless Gateways for Data Agents
Policy Layer for Autonomous AI Data Agents
REST Catalog Credential Vending for Iceberg
REST Catalog V2: Fixing Iceberg Protocol Debt
Semantic View Autopilot for AI Governance
Zero-Copy Mirroring to Open Iceberg Tables
Immigration: The Honest Breakdown
TL;DR The immigration debate in the United States produces more heat than light because both sides argue from selective evidence while the system itse...
The State of Apache Iceberg v4 in July 2026: What the Dev List Tells Us About the Format's Next Chapter
The State of Agentic AI Standards in 2026: MCP, A2A, WebMCP, OSI, and the Protocol Stack Taking Shape
The State of Apache Arrow in 2026: Ten Years In, the Invisible Standard Is Everywhere
The State of Apache Parquet in 2026: The Quiet Format Enters Its Loudest Decade
The State of Apache Polaris in July 2026: From Incubating Catalog to the Governance Layer of the Open Lakehouse
The State of Streaming to Apache Iceberg in July 2026: Every Path, Its Latency, and What to Do When Seconds Are Not Fast Enough
High-Performance Columnar Transfers: Combining Apache Arrow Flight and Iceberg REST Catalogs
Block vs. Object Storage: A Deep Dive Into the Foundation of Modern Data, and How the Lakehouse Made the Slow Option Fast
The Buyer's Scorecard for Agentic Analytics: Evaluating Tooling in the Enterprise AI Era
Building Closed-Loop Decision Agents: Moving from Passive BI Dashboards to Active Goal-Directed Workflows
Conversational AI on Managed Iceberg: Exposing Amazon S3 Tables through MCP
Decoupled Catalogs vs. Managed Tables: Architectural Freedom in the Age of Table Format Convergence
Designing Your Own AI Harness: A Deep Dive Into the Architecture of Agent Loops, Tools, Context, and Control
Deterministic Data Engineering With AI Harnesses: Using Claude Code, Codex, Antigravity, and OpenCode for Data Work You Can Actually Trust
Preparing Your Data Lakehouse for the EU AI Act: Auditable Lineage and Data Provenance
Federation and the Lakehouse: Two Roads to Unified Data Access, and How to Know Which One to Take
A Deep Dive Into File Compression: How Data Gets Smaller, Why Codecs Differ, and What to Actually Use in the Lakehouse
The File Format Renaissance: Parquet, Lance, Vortex, Nimble, BtrBlocks, and the New Physics of Columnar Storage
Enforcing Fine-Grained Security at Machine Speed: Dynamic Access Control for High-Frequency AI Agents
Implementing Positional Deletes in Iceberg v3: Streamlining Merge-on-Read for Fast-Inbound Event Lakes
Mapping the Variant Type in Iceberg v3: Standardizing Semi-Structured AI JSON Payloads
Designing Idempotent Pipelines in the Agentic Lakehouse: Eliminating Double-Write Anomalies
File Encryption for the Lakehouse: The Terminology, the Machinery, and the Hard Problem of Interoperable Encrypted Tables
The 2026-07-28 Model Context Protocol Release Candidate: What the Stateless Spec Means for Data Platforms
The Metric Contract Mandate: Standardizing Semantic Layers Before AI Agent Access
Multi-Engine Catalog Federation with Apache Polaris: Syncing Google Cloud, AWS, and Azure Metadata
Open Source Foundations, Explained: What Apache, Linux, Eclipse, and Their Peers Actually Do, and Why Governance Differences Matter
Operational vs. Analytical Systems: Why the Oldest Divide in Data Exists, What Physics Enforces It, and the Honest Truth About Hybrid Systems
Personal Context vs. Shared Context: A Deep Dive Into How Humans and Organizations Should Feed Their AI Agents
Designing Private, Air-Gapped Data Lakehouses: Scaling Iceberg in Highly Secure, On-Premises Clouds
Migrating Proprietary Warehouses to Open Lakehouses: The 2026 Playbook for Zero-Copy Metadata Translation
Lakehouse Table Formats in 2026: Iceberg, Delta Lake, Hudi, Paimon, and DuckLake, How They Work, Where They Stand, and Where They're Going
Trustworthy Concurrency in the Agentic Lakehouse: Reconciling Academic Proofs with High-Frequency Production Writes
When Gatekeepers Panic: The Encyclopédie, Open AI Models, and the Politics of Accessible Knowledge
The Who, What, and Why of Semantic Layers: The Layer That Decides Whether Your Numbers Can Be Trusted
Healthcare What the World Teaches Us: Diagnosing a Broken System and Charting a Practical Path Forward
TL;DR The United States spends $14,885 per person on healthcare annually, more than double the average of comparable wealthy countries, and ranks last...
Rules Without Rulers: The Case for Non-State Regulation
TL;DR Libertarianism is not about the absence of rules....
AI-Ready Metadata Prevents Query Failures
Autonomous Materialization for Agentic Analytics
Composable Semantic Layers for Analytical Agents
Built for Agents and Managed by Agents
ClickHouse in the Loop for Active Agents
The Context Layer for AI Agents
Lakehouse as the Operating Layer for Agentic AI
Event-Driven Table Compaction with Agents
Fabric Agentic Analytics and Lakehouse Schema Design
Fine-Grained Security for AI Agents
Iceberg v4 Performance: Root Manifests and Calls
What Is LTAP in the Lakehouse?
The Model Is Not the Moat
PyIceberg at Scale Without Apache Spark
The Real-Time Lakehouse with Streaming and Iceberg
REST Catalog V2 LoadTable and Client Capability
Rust vs C++ in Native Iceberg Scan Operators
Server-Side Commit Deconflicting in REST Catalogs
Snowflake Interoperable Lakehouse Lessons
Unity AI Gateway vs Apache Polaris Control Planes
The Prohibition Fallacy: How Banning Things Makes Them More Dangerous
TL;DR Prohibition is a policy argument that crosses every political line, applied at one point or another by progressives, conservatives, and everyone...
The Fragile Trillion: What Elon Musk’s Net Worth Really Tells Us About Wealth, Spending Power, and World Hunger
On June 12, 2026, SpaceX began trading on the Nasdaq under the ticker SPCX....
Love Is Not Soft: Why Kindness, Forgiveness, and Empathy Are the Foundation of a Free Society
TL;DR Liberty is not self-sustaining....
The Complete Guide to Agentic Coding Tools in 2026
Agentic Lakehouse Concurrency and Isolation
Anatomy of an Agentic Lakehouse
Apache Iceberg v4 Roadmap: Adaptive Metadata Trees, Single-File Commits, and the Delta Convergence
Lakehouse Context Layers with Atlan and Iceberg v3
Real-Time Agentic Analytics with ClickHouse
Composable Analytics Beats Metric Catalogs
Goal-Directed Analytics Agents on Apache Iceberg
Iceberg Remote Signing for Regulated Datasets
Apache Iceberg v3 Deletion Vectors on Snowflake
CDC Without Complexity Using Iceberg v3 Row Lineage
The 2026 Guide to Iceberg View Federation
Implementing MCP in the Lakehouse
Microsoft Fabric Build 2026 Agentic Analytics Stack
Modern Python Tooling for Apache Iceberg
REST Catalog Credential Vending for Lakehouse Security
SaaS Buyers Now Inspect Your Semantic Layer
Securing Agent Identities in the Lakehouse
Bidirectional Iceberg Writes with Horizon Catalog
Semantic View Autopilot in Snowflake Semantic Studio
Zero-Copy Mirroring for Modern Lakehouse Migration
The Price of Protection: Tariffs, Trade Wars, and Who Really Pays
TL;DR A tariff is a tax....
Markets and Profits Are About More Than Efficiency
The Loveatarian Newsletter...
What AI Is and Isnt: A Laypersons Guide to How LLMs Actually Work
Getting Started with AI for Free: Every Tool Google Gives You at No Cost
ChatGPT and Claude: Which AI Service Should You Pay For
A Tour of Specialized AI Tools: Music, Video, Images, and More
Going Advanced: Open Source Models, Hermes Agent, and Local AI
Data Platform Native AI Agent Tooling in 2026
The Complete Guide to Agentic Coding Tools in 2026
Corporate Welfare: The Socialism Nobody Talks About
TL;DR The United States spends approximately $181 billion per year in direct federal subsidies, grants, tax expenditures, and other financial support ...
Active Monitoring: How Agentic AI Auto-Heals and Protects Enterprise Data Pipelines
Anatomy of an Agentic Analytics System: Inside the Multi-Step Reasoning Loop
Mastering Apache Iceberg v3: What's New and How to Plan Your Upgrade
Building a Custom Agentic Analytics System: Python, LangChain, and SQL Data Lakes
The Death of the Data Swamp: Establishing Governance in Your 2026 Data Lakehouse
How Apache Iceberg Resolves the Hybrid-Cloud Challenge in Heavily Regulated Markets
Securing Apache Iceberg Tables with Fine-Grained Row and Column Level Access Control
Designing an Immutable Data Lakehouse: Best Practices for Iceberg Snapshot Expiration
Decoupling Storage and Compute in Apache Iceberg: A Deep Dive into Cost Optimization
Legacy Warehouses to Open Lakehouses: A Step-by-Step Migration Playbook
Building the Brain of the Agentic Lakehouse: Designing an Open Catalog Architecture
Evaluating the TCO of an Open Lakehouse vs. Proprietary Data Warehouses
Real-Time BI: Enabling Sub-Second Queries on Apache Iceberg Data Lakehouses
The Rise of Agentic Analytics: Shifting BI from Passive Dashboards to Goal-Directed Action
The Semantic Layer as a Translation Engine: Bridging Natural Language and SQL
Comparing the Top 2026 Agentic Analytics Tools: ThoughtSpot, Databricks, and Tableau
Trustworthy AI in the Agentic Lakehouse: Reconciling Concurrency and Isolation Contracts
The 2026 Unified Data Architecture: Reconciling Multi-Cloud Data Lakehouses
Why Traditional Lakehouses Fail AI Agents: The Mathematical Case for the Agentic Lakehouse
The Era of Zero-ETL Federation: Fueling AI Agents with Real-Time Cross-Enterprise Data
Iran and a History of Unintended Consequences from Foreign Intervention
TL;DR The current crisis with Iran is not an isolated event....
Use Hermes Agent for Free With DeepSeek V4 and Slack
Concurrency, Isolation, and MVCC: How Engines Handle Contention
Hash, Sort-Merge, Broadcast: How Distributed Joins Work
Partitioning, Sharding, and Data Distribution Strategies
Buffer Pools, Caches, and the Memory Hierarchy
Volcano, Vectorized, Compiled: How Engines Execute Your Query
Inside the Query Optimizer: How Engines Pick a Plan
B-Trees, LSM Trees, and the Indexing Tradeoff Spectrum
How Databases Organize Data on Disk: Pages, Blocks, and File Formats
Row vs. Column: How Storage Layout Shapes Everything
How Query Engines Think: The Tradeoffs Behind Every Data System
Migrating to Apache Iceberg: Strategies for Every Source System
Hands-On with Apache Iceberg Using Dremio Cloud
Approaches to Streaming Data into Apache Iceberg Tables
Using Apache Iceberg with Python and MPP Query Engines
Apache Iceberg Metadata Tables: Querying the Internals
Maintaining Apache Iceberg Tables: Compaction, Expiry, and Cleanup
How Data Lake Table Storage Degrades Over Time
When Catalogs Are Embedded in Storage
What Are Lakehouse Catalogs? The Role of Catalogs in Apache Iceberg
Writing to an Apache Iceberg Table: How Commits and ACID Actually Work
Hidden Partitioning: How Iceberg Eliminates Accidental Full Table Scans
Partition Evolution: Change Your Partitioning Without Rewriting Data
Performance and Apache Iceberg's Metadata
The Metadata Structure of Modern Table Formats
What Are Table Formats and Why Were They Needed?
Who Owns What Happens Inside Your Head?
Two political stories crossed the wires this past week....
War, Spyware, and the Pendulum Swing: What This Week Tells Us About Power
This week gave us a lot to sit with....
When the War Vote Never Happens: A Lovatarian Look at Iran
The United States has been at war with Iran for three weeks....
War and the Cost of Coercion
The Lovatarian | March 10, 2026...
2025 Year in Review Apache Iceberg, Polaris, Parquet, and Arrow
A look back at key developments in Apache Iceberg, Polaris, Parquet, and Arrow in 2025....
dremioframe & iceberg - Pythonic interfaces for Dremio and Apache Iceberg
Discover DremioFrame and IceFrame, two new Python libraries that simplify working with Dremio and Apache Iceberg. Learn how these tools streamline dat...
Introducing dremioframe - A Pythonic DataFrame Interface for Dremio
Discover dremioframe, a new Python library that offers a DataFrame-like experience for interacting with Dremio's data lakehouse platform. Learn how to...
Comprehensive Hands-on Walk Through of Dremio Cloud Next Gen (Hands-on with Free Trial)
Walkthrough with the new trial of the Dremio Cloud Platform...
2025-2026 Guide to Learning about Apache Iceberg, Data Lakehouse & Agentic AI
A curated guide to mastering Apache Iceberg, data lakehouse architectures, and the emerging field of Agentic AI for data professionals....
An Exploration of the Commercial Iceberg Catalog Ecosystem
Dive into the world of commercial Iceberg catalogs and discover how they enhance data lakehouse architectures for modern data engineering....
Building a Universal Lakehouse Catalog - Beyond Iceberg Tables
Exploring paths to a universal lakehouse catalog that supports multiple data formats and engines, building on Apache Iceberg's success....
Intro to Apache Iceberg with Apache Polaris and Apache Spark
Learn how to leverage Apache Iceberg with Apache Polaris and Apache Spark to build scalable and efficient data lakehouses....
The State of Apache Iceberg v4 - October 2025 Edition
What's Coming in Apache Iceberg v4: A Deep Dive into the Future of Open Table Formats...
The Ultimate Guide to Open Table Formats - Iceberg, Delta Lake, Hudi, Paimon, and DuckLake
Understanding Iceberg, Delta Lake, Hudi, Paimon, and DuckLake...
The 2025 & 2026 Ultimate Guide to the Data Lakehouse and the Data Lakehouse Ecosystem
What is the Data Lakehouse and the Data Lakehouse Ecosystem? This comprehensive guide covers everything you need to know about the Data Lakehouse arch...
The Endgame – Building an Autonomous Optimization Pipeline for Apache Iceberg
Learn how to automate compaction, snapshot expiration, and layout optimization in Apache Iceberg using metadata-driven triggers and orchestration tool...
Managing Large-Scale Optimizations – Parallelism, Checkpointing, and Fail Recovery
Learn how to scale Apache Iceberg table optimizations across large datasets using parallelism, checkpointing, and fail recovery to ensure reliability ...
Unlocking the Power of Agentic AI with Apache Iceberg and Dremio
Unlocking the Power of Agentic AI with Apache Iceberg and Dremio...
Hidden Pitfalls – Compaction and Partition Evolution in Apache Iceberg
Partition evolution in Apache Iceberg is a powerful feature, but if not managed carefully, it can introduce fragmentation and impact compaction perfor...
Using Iceberg Metadata Tables to Determine When Compaction Is Needed
Discover how to use Apache Iceberg's metadata tables to proactively detect small files, bloated manifests, and table fragmentation - so you can trigge...
Designing the Ideal Cadence for Compaction and Snapshot Expiration
Learn how to design an effective schedule for compaction and snapshot expiration in Apache Iceberg to balance cost, performance, and data freshness....
Avoiding Metadata Bloat with Snapshot Expiration and Rewriting Manifests
Learn how to prevent and clean up metadata bloat in Apache Iceberg by expiring snapshots and rewriting manifests for better performance and manageabil...
Smarter Data Layout – Sorting and Clustering Iceberg Tables
Improve query performance in Apache Iceberg by organizing your data layout with sorting and Z-order clustering. Learn how to reduce scan cost and impr...
Optimizing Compaction for Streaming Workloads in Apache Iceberg
Learn how to design fast, incremental compaction strategies in Apache Iceberg to support high-throughput streaming pipelines without disrupting freshn...
The Basics of Compaction – Bin Packing Your Data for Efficiency
Learn how standard compaction works in Apache Iceberg and why bin packing your data files is essential for maintaining query performance and cost effi...
The Cost of Neglect – How Apache Iceberg Tables Degrade Without Optimization
Learn how Apache Iceberg tables can degrade over time without optimization and what issues this causes for performance, cost, and governance....
How to Discover or Organize Lakehouse & Apache Iceberg Meetups
Guide on How to Be Part of the Lakehouse Community...
Introduction to Data Engineering Concepts | What is Data Engineering?
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Understanding Data Sources and Ingestion
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | ETL vs ELT – Understanding Data Pipelines
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Batch Processing Fundamentals
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Streaming Data Fundamentals
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Data Modeling Basics
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Data Warehousing Fundamentals
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Data Lakes Explained
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Storage Formats and Compression
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Data Quality and Validation
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Metadata, Lineage, and Governance
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Scheduling and Workflow Orchestration
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Building Scalable Pipelines
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | DevOps for Data Engineering
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Cloud Data Platforms and the Modern Stack
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Data Lakehouse Architecture Explained
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | Apache Iceberg, Arrow, and Polaris
Introduction to the terms in data engineering...
Introduction to Data Engineering Concepts | The Power of Dremio in the Modern Lakehouse
Introduction to the terms in data engineering...
A Journey from AI to LLMs and MCP - 10 - Sampling and Prompts in MCP – Making Agent Workflows Smarter and Safer
Sampling and Prompts in MCP – Making Agent Workflows Smarter and Safer...
A Journey from AI to LLMs and MCP - 9 - Tools in MCP – Giving LLMs the Power to Act
Tools in MCP – Giving LLMs the Power to Act...
A Journey from AI to LLMs and MCP - 8 - Resources in MCP – Serving Relevant Data Securely to LLMs
Resources in MCP – Serving Relevant Data Securely to LLMs...
A Journey from AI to LLMs and MCP - 7 - Under the Hood – The Architecture of MCP and Its Core Components
Under the Hood – The Architecture of MCP and Its Core Components...
Journey from AI to LLMs and MCP - 6 - Enter the Model Context Protocol (MCP) – The Interoperability Layer for AI Agents
Enter the Model Context Protocol (MCP) – The Interoperability Layer for AI Agents...
A Journey from AI to LLMs and MCP - 5 - AI Agent Frameworks – Benefits and Limitations
AI Agent Frameworks – Benefits and Limitations...
A Journey from AI to LLMs and MCP - 4 - What Are AI Agents – And Why They're the Future of LLM Applications
What Are AI Agents – And Why They're the Future of LLM Applications...
A Journey from AI to LLMs and MCP - 3 - Boosting LLM Performance – Fine-Tuning, Prompt Engineering, and RAG
Boosting LLM Performance – Fine-Tuning, Prompt Engineering, and RAG...
A Journey from AI to LLMs and MCP - 2 - How LLMs Work – Embeddings, Vectors, and Context Windows
How LLMs Work – Embeddings, Vectors, and Context Windows...
A Journey from AI to LLMs and MCP - 1 - What Is AI and How It Evolved Into LLMs
What Is AI and How It Evolved Into LLMs...
Building a Basic MCP Server with Python
The Basics of Building a Basic MCP Server...
Using Helm with Kubernetes - A Guide to Helm Charts and Their Implementation
A Guide on when to use Helm Charts for Kubernetes Deployment...
Crash Course on Developing AI Applications with LangChain
A guide on building AI applications with LangChain, a framework for developing AI applications powered by Large Language Models (LLMs)....
The Data Lakehouse - The Benefits and Enhancing Implementation
Understanding the value of a lakehouse and how to get that value faster...
2025 Comprehensive Guide to Apache Iceberg
What is Apache Iceberg, How it Works, and Why it Matters!...
When to use Apache Xtable or Delta Lake Uniform for Data Lakehouse Interoperability
A Guide on when to use Apache Xtable or Delta Lake Uniform for Data Lakehouse Interoperability...
2025 Guide to Architecting an Iceberg Lakehouse
A Comprehensive Guide to Building a Data Lakehouse with Apache Iceberg...
10 Future Apache Iceberg Developments to Look forward to in 2025
What is cool about Apache Iceberg's Future...
Deep Dive into Dremio's File-based Auto Ingestion into Apache Iceberg Tables
Auto ingesting data from JSON, CSV, and Parquet files into Apache Iceberg Tables...
Intro to SQL using Apache Iceberg and Dremio
Intro to SQL using Apache Iceberg and Dremio...
Dremio, Apache Iceberg and their role in AI-Ready Data
The Role of Dremio and Apache Iceberg in AI-Ready Data...
Introduction to Cargo and cargo.toml
Getting Started with Cargo and cargo.toml...
Leveraging Python's Pattern Matching and Comprehensions for Data Analytics
Using Features like Pattern Matching and Comprehensions for Data Analytics...
Hands-on with Apache Iceberg & Dremio on Your Laptop within 10 Minutes
How to get hands-on with Apache Iceberg...
Data Modeling - Entities and Events
How to Model Events and Entities...
All About Parquet Part 01 - An Introduction
All about the Apache Parquet File Format...
All About Parquet Part 02 - Parquet's Columnar Storage Model
All about the Apache Parquet File Format...
All About Parquet Part 03 - Parquet File Structure | Pages, Row Groups, and Columns
All about the Apache Parquet File Format...
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All about the Apache Parquet File Format...
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All about the Apache Parquet File Format...
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Express... on Rails......
Ultimate Express & Mongo Reference
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Rust & Rocket - Zero to Deploy
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Tales of PHP's Demise are Exaggerated...
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Chart of Backend Web Frameworks 2021
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Go, Rust and C++ Side by Side
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Javascript Basic Reference
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Ultimate Command Line Reference 2021 - Bash, Git, Node, Python, Ruby, PHP
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Learn Python, PHP, Ruby and Javascript in one Blog Post
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Understanding and Using Environment Variables in React
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Intro to PHP
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Learn the Pre-Hypertext Processor Language...
Understanding React Router
Learn the Pre-Hypertext Processor Language...
Intro to Building Backend Servers with KOAjs
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Deploying React, Angular, Svelte and Vue to Netlify & Vercel
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Big List of Hosted Headless CMS Providers with Free or Developer Tier in 2021
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Git - A Guide to Understanding and Using Git
All The Commands in Words that Make Sense...
Git/Github - Making the Switch from Master to Main
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Deep Dive on Javascript Tooling (Bundlers, Linters, Oh MY!)
Node, ESLint, Babel, Bundlers...
React 101 - Basic JSON Blog from 0 to deployment
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5 Cool Things You Can Do In React
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