1.Usecase ! Usecase ! Usecase
2.Decode intent proxies!
3.Think "20-100 X Scalability" blindspots
4.Actions not insights
5.Frame unanswered questions !
6.Embedd MachineLearning processes !
7.Humanize analytical output !
8.Ingest unstructured data
9.Quantify $ impact !
10.Deepdive into "Architecture weaklinks" !
11.Iterate ! Iterate ! Iterate !
12.Deliver immersive interface !
13.Filter out 'architecture noise'
14.Dont over Engineer !
15.Tightly couple frontline-channels !
16.Mash disparate datapools !
17.Emit realtime response !
18.Map Architecture decision-tree
19.Decompose analytical workloads !
20.Think Columnar architecture !
21.Start Datascience Bootcamp !
22.Avoid 100 pg design !
23.Time to impact < 60 days !
24.Zero licensecost Sandbox !
25.Surface $denting usecase !
26.Curate "wow" scenarios !
27.Distill impactful patterns !
28.Think actions operationalized !
29.Align with business !
30.Woo a "Big Daddy" !
31.Pick Datascientists carefully !
32.Build DW-Bigdata bridges !
