DISTMOD.DIST-08 · v1.0
Pipelines for
real workloads,
not demos.
8 micro-lessons · ~66 min · Real Docker images
THE TAPES · TRACKING
MULTI-TRACK · MAP/REDUCE
REC
TRACKS 8/8· LOCKED· SKEW 12%
SHARD 01OK
SHARD 02OK
SHARD 03OK
SHARD 04OK
SHARD 05OK
SHARD 06OK
SHARD 07OK
SHARD 08OK
SHARD 05 · skewed → rebalance recommended
DISTDATA ENGINEERING
Distributed processing, OLAP & query opt
MapReduce mental model, Spark in 2026, and where DuckDB wins.
WHY THIS MATTERS · IBM 2026 DATA GUIDE
Defines data processing as converting raw data into usable information; ML, AI, and parallel computing now enable large-scale data processing.
01MapReduce mental model
02Spark in 2026
03DuckDB vs Trino
04Query optimisation tactics
05OLAP fundamentals
06GPU-accelerated processing
Reason about shuffles and skew
Pick Trino vs DuckDB vs Spark
Tune queries with the planner, not vibes
SKILLS YOU'LL GAIN
Real skills, real career delta.
Skills you'll gain
09- Reason about shuffles and skewWorking
Outcome from completing the course: reason about shuffles and skew.
- Pick Trino vs DuckDB vs SparkWorking
Outcome from completing the course: pick trino vs duckdb vs spark.
- Tune queries with the planner, not vibesWorking
Outcome from completing the course: tune queries with the planner, not vibes.
- MapReduce mental modelWorking
Covered in lesson sequence — drop-in ready.
- Spark in 2026Working
Covered in lesson sequence — drop-in ready.
- DuckDB vs TrinoWorking
Covered in lesson sequence — drop-in ready.
- Query optimisation tacticsWorking
Covered in lesson sequence — drop-in ready.
- OLAP fundamentalsWorking
Covered in lesson sequence — drop-in ready.
- GPU-accelerated processingWorking
Covered in lesson sequence — drop-in ready.
$ docker pull snap/distributed:lesson-01
$ docker run --rm -it snap/distributed:lesson-01
snap/distributed:lesson-01
Skew lesson is the one I make every junior watch.
@parallel_patVERIFY ON GITHUB
Query-planner deep dive — practical, not academic.
@devops_julesVERIFY ON GITHUB
LESSONS8
HOURS~1.1
LEARNERS1,340
THIS WEEK+11%