corpus.blog
56,966 blogs · [ { "id": "01a08758-6c41-73c7-aeb6-2e4b01b8b606", "title": "Garbage Pail Code - Lessons from the Vibe Coding Trenches", "url": "https://brandonharris.io/Garbage-Pail-Code/", "published_at": "2025-08-11T05:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b02aa6c7f", "title": "The Three-Ring Data Platform Circus - Fabric, Databricks and Snowflake", "url": "https://brandonharris.io/The-Three-Ring-Circus-of-Data/", "published_at": "2025-06-25T05:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b03114624", "title": "The Power of AI Fabric - How MCP and A2A Are Creating the Next Generation of Enterprise Intelligence", "url": "https://brandonharris.io/AI-Fabric/", "published_at": "2025-06-23T05:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b031d1d7d", "title": "Implementing AI Risk Management Frameworks", "url": "https://brandonharris.io/AI-Risk-Management/", "published_at": "2024-02-05T06:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b03626cd9", "title": "Transforming Diabetes with AI - Temporal Fusion Transformers and Blood Glucose Data", "url": "https://brandonharris.io/Transforming%20Diabetes%20with%20AI%20-%20Temporal%20Fusion%20Transformers%20and%20Blood%20Glucose%20Data/", "published_at": "2023-11-22T06:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b03734607", "title": "Using LLM's For Private, In-House Document Analysis for Your Business", "url": "https://brandonharris.io/RAG_with_private_models/", "published_at": "2023-07-24T05:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b03aa8c95", "title": "Cloud LLaMa - Local LLM's and Getting Started with LLaMa on AWS EC2", "url": "https://brandonharris.io/Local-LLMs-Getting-Started-with-LLaMa-and-AWS/", "published_at": "2023-06-20T05:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b041719eb", "title": "The Top 5 Analytics Challenges Most Organizations Face (and How to Solve For Them) - Challenge 3 - Solving for Compliance", "url": "https://brandonharris.io/The-Top-5-Analytics-Challenges-Most-Organizations-Face-Compliance/", "published_at": "2023-06-16T05:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b04cf0544", "title": "The Top 5 Analytics Challenges Most Organizations Face (and How to Solve For Them) - Challenge 4", "url": "https://brandonharris.io/The-Top-5-Analytics-Challenges-Most-Organizations-Face-Adoption/", "published_at": "2021-12-08T06:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b054c5d45", "title": "The Top 5 Analytics Challenges Most Organizations Face (and How to Solve For Them) - Challenge 5", "url": "https://brandonharris.io/The-Top-5-Analytics-Challenges-Most-Organizations-Face-Lift-and-Shift-vs-Refactoring/", "published_at": "2021-12-01T06:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b05bfc74c", "title": "ClickHouse, Redshift and 2.5 Billion Rows of Time Series Data", "url": "https://brandonharris.io/redshift-clickhouse-time-series/", "published_at": "2020-09-29T05:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b06a55e49", "title": "The 2018 Deep Dribble Bracket", "url": "https://brandonharris.io/Deep-Dribble-Bracket/", "published_at": "2018-03-12T05:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b073cedfe", "title": "The 2017 Deep Dribble Bracket", "url": "https://brandonharris.io/Deep-Dribble-Bracket-2017/", "published_at": "2017-03-16T05:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b07e73427", "title": "Deep Dribble 1.1 - And a personal update", "url": "https://brandonharris.io/Deep-Dribble-Update/", "published_at": "2016-11-11T06:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b08bba326", "title": "The 2016 Deep Dribble Brackets", "url": "https://brandonharris.io/Deep-Dribble-Brackets/", "published_at": "2016-03-16T05:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b08e434fc", "title": "Forecasting \"The Walking Dead\" Viewership via Time Series Regression with Seasonal ARIMA errors in R", "url": "https://brandonharris.io/forecasting-walking-dead-viewership/", "published_at": "2016-02-22T06:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b09c95c79", "title": "Evaluating Big Data Performance of PrestoDB and Parquet on S3 storage", "url": "https://brandonharris.io/evaluating-big-data-performance-of-prestodb-and-parquet-on-s3-storage/", "published_at": "2016-01-17T06:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b0a8fd775", "title": "It's Alive! DeepDribble 1.0 and 2015-2016 NCAA Basketball Predictions", "url": "https://brandonharris.io/deep-dribble/", "published_at": "2015-11-18T06:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b0b8434b3", "title": "Amazon Web Services and Upgrading Python to 2.7 on EMR Cluster Installations.", "url": "https://brandonharris.io/aws-emr-upgrade/", "published_at": "2015-10-22T05:00:00+00:00" }, { "id": "01a08758-6c41-73c7-aeb6-2e4b0be0a531", "title": "Trueskill And Nfl Football Team Ratings", "url": "https://brandonharris.io/TrueSkill-and-NFL-Football-Team-Ratings/", "published_at": "2015-09-25T05:00:00+00:00" } ] posts Claim your blog
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brandonharris.io

brandonharris.io

2025

Garbage Pail Code - Lessons from the Vibe Coding Trenchesoriginal ↗
11 Aug 2025
The Three-Ring Data Platform Circus - Fabric, Databricks and Snowflakeoriginal ↗
25 Jun 2025
The Power of AI Fabric - How MCP and A2A Are Creating the Next Generation of Enterprise Intelligenceoriginal ↗
23 Jun 2025

2024

Implementing AI Risk Management Frameworksoriginal ↗
5 Feb 2024

2023

Transforming Diabetes with AI - Temporal Fusion Transformers and Blood Glucose Dataoriginal ↗
22 Nov 2023
Using LLM's For Private, In-House Document Analysis for Your Businessoriginal ↗
24 Jul 2023
Cloud LLaMa - Local LLM's and Getting Started with LLaMa on AWS EC2original ↗
20 Jun 2023
The Top 5 Analytics Challenges Most Organizations Face (and How to Solve For Them) - Challenge 3 - Solving for Complianceoriginal ↗
16 Jun 2023

2021

The Top 5 Analytics Challenges Most Organizations Face (and How to Solve For Them) - Challenge 4original ↗
8 Dec 2021
The Top 5 Analytics Challenges Most Organizations Face (and How to Solve For Them) - Challenge 5original ↗
1 Dec 2021

2020

ClickHouse, Redshift and 2.5 Billion Rows of Time Series Dataoriginal ↗
29 Sept 2020

2018

The 2018 Deep Dribble Bracketoriginal ↗
12 Mar 2018

2017

The 2017 Deep Dribble Bracketoriginal ↗
16 Mar 2017

2016

Deep Dribble 1.1 - And a personal updateoriginal ↗
11 Nov 2016
The 2016 Deep Dribble Bracketsoriginal ↗
16 Mar 2016
Forecasting "The Walking Dead" Viewership via Time Series Regression with Seasonal ARIMA errors in Roriginal ↗
22 Feb 2016
Evaluating Big Data Performance of PrestoDB and Parquet on S3 storageoriginal ↗
17 Jan 2016

2015

It's Alive! DeepDribble 1.0 and 2015-2016 NCAA Basketball Predictionsoriginal ↗
18 Nov 2015
Amazon Web Services and Upgrading Python to 2.7 on EMR Cluster Installations.original ↗
22 Oct 2015
Trueskill And Nfl Football Team Ratingsoriginal ↗
25 Sept 2015