The Data Fab­ric architecture

Ini­tial­iz­a­tion – basic require­ments & frame­work con­di­tions, scop­ing / pro­ject plan­ning, work­ing envir­on­ment, pro­ject plan (time and migra­tion plan), kick-off meeting.

Ana­lysis and eval­u­ation – care­ful eli­cit­a­tion and man­age­ment of require­ments to achieve the object­ives, defin­i­tion of the migra­tion method and decision on the tech­no­lo­gies and tools used. Defin­i­tion of func­tional and non-func­tional requirements.

Func­tional and tech­nical design – plat­form archi­tec­ture, data mod­el­ing, stand­ards, tem­plates and best prac­tices, inter­face defin­i­tion, archi­tec­ture data integ­ra­tion, final archi­tec­ture and concepts.

Imple­ment­a­tion – devel­op­ment of the elab­or­ated archi­tec­ture in iter­a­tions based on the pre­vi­ously col­lec­ted requirements.

Test­ing, go-live, mon­it­or­ing and oper­a­tion – accom­pani­ment of accept­ance tests, error cor­rec­tions, per­form­ance / SLA tests, test & accept­ance pro­to­cols, deploy­ment to the pro­duct­ive sys­tem, han­dover of oper­a­tions, mon­it­or­ing by mon­it­or­ing tools, hypercare.

synvert accel­er­at­ors – data strategy & archi­tec­ture work­shop, con­cep­tual design tem­plate, synvert cloud integ­ra­tion pat­terns, nam­ing con­ven­tion templates.