Current thinking, practical guidance and implementation perspectives across Data Engineering, Artificial Intelligence, Digital Marketing and the industries we serve.
An ERP knows invoices and stock, a CRM knows accounts and interactions, and a commerce platform knows carts and orders. Bringing their tables into…
Read article
Access control becomes fragile when permissions are copied from person to person. After several job changes, nobody knows why a former project member can…
Read article
When two dashboards disagree, “Where did this number come from?” should be answerable without a week of detective work. Data lineage is the record…
Read article
The first question in an AI meeting is often, “Which model should we use?” A more useful question is, “Which decision are we trying…
Read article
Data maturity is sometimes presented as a score out of five. A single score is convenient, but it can hide the difference between a…
Read article
Data programs often start with a long list of dashboards and end with no agreement on whether the business got better. The gap is…
Read article
Architecture conversations become unhelpful when the answer is chosen before the workload is understood. A warehouse, a lake and a lakehouse all store data,…
Read article
“We need real time” often means “We need this information sooner.” Those are different requirements. A pipeline that updates every few minutes may solve…
Read article
Customer and patient records can be valuable for improving service, but the same detail that makes them useful also makes careless access harmful. Privacy…
Read article