Bradley Ball
where else to find them
no profile links on file
what they talk about
where they keep going back
- SQLBits4 editions2019–2024
on a stage with
- Daniel Tayloronce
- Josh Luedemanonce
- Patrick LeBlanconce
who talks about the same things
- Bob Ward36 talks
- Kevin Kline13 talks
- Alexander Arvidsson14 talks
- John Morehouse14 talks
- Sanjay Mishra9 talks
- Grant Fritchey19 talks
| title | conference | date |
|---|---|---|
| Indexing Internals for Developers & DBAs | SQLBits 2024 | 2024-03-19 |
Covers how heaps, clustered and non‑clustered indexes behave with concrete measurements and fixes: uses DBCC IND/DBCC PAGE, DMVs, Query Store, set statistics… | ||
| What we’ve learned running a YouTube channel (so far) | SQLBits 2024 | 2024-03-19 |
Channel launches with 42 subscribers first month, 121 after six months, 702 down to ~1782 views and just 84 watch hours, then pivots to regular pure technical… | ||
| Soft Skills eat Technical Skills for Breakfast | SQLBits 2023 | 2023-03-14 |
Three books provide the tactics: On Writing for concise, purposeful emails and when to leave details out versus precise documentation; Crucial Accountability… | ||
| The Most Powerful Azure Service You’ve Never Heard Of | SQLBits 2023 | 2023-03-14 |
A demo of Azure Data Explorer (Kusto) shows columnar storage, heavy compression and a distributed SSD architecture that returns aggregates over 40 billion rows… | ||
| Indexing Internals for Developers & DBAs | SQLBits 2022 | 2022-03-08 |
Shows exact internals and demos: heaps always scan (example query costs 7,504 logical reads) vs a clustered seek (4 logical reads), loading a staging table… | ||
| Indexing Internals for Developers & DBAs | SQLBits 2019 | 2019-02-27 |
Deep dive into SQL Server index behavior with live DBCC demos showing how DBCC IND/DBCC PAGE reveal IAM pages, RID lookups and forwarding pointers; heap scans… | ||
| Optimize “All Data” with a Modern Data Warehouse Solution | 24 Hours of PASS: Summit Preview 2015 | 2015-09-17 |
Shows concrete, tested approaches: streaming pipeline using Azure Event Hubs -> Azure Stream Analytics -> Azure ML for live Twitter sentiment analysis and a… | ||
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