Book
Data Platform & Analytics
What the job actually is now, modelling and grain, data contracts and who gets paged, quality that is not a dashboard, streaming and when you need it, governance and the 82%, cost, and serving the AI workload.
For the Data Platform archetypes. Built on 225 postings where compliance outranks SQL and real-time outnumbers batch seven to one.
CHAPTER 1
What the job actually is now
Compliance outranks SQL. Half the postings name cost. Real-time outnumbers batch seven to one.
CHAPTER 2
Modelling, and why it still decides everything
The least fashionable skill in the field and the one that determines whether the platform is usable in three years.
CHAPTER 3
Data contracts, and who gets paged
The structural fix for the defining problem of the field: your pipeline breaks because of a change you did not make.
CHAPTER 4
Data quality that is not a dashboard
Most quality programmes produce alerts nobody actions. This is about the small number of tests that earn their place.
CHAPTER 5
Streaming, and when you actually need it
Named in 47% of postings against 6% for batch. Here is what that does and does not mean.
CHAPTER 6
Governance, privacy and the 82%
Named in more postings than SQL. Treat it as the job rather than as paperwork.
CHAPTER 7
Cost, because half the postings name it
The warehouse bill is usually the second-largest line in a data organisation, and it is yours.
CHAPTER 8
Serving the AI workload
AI appears in 92% of these postings. What it actually asks of a data platform is specific.