1 |
Articles |
2 |
Don’t buy data – ınvest ın ıt (2) |
3 |
Data warehouse teams adapt to be data driven (2) |
4 |
ınformation governance, ıt governance, data governance – what’s the difference? |
5 |
Towards data governance’s 4th era – part ııı – providing the structure for ınvention |
6 |
Latest content |
7 |
Data security in the time of remote workers (2) |
8 |
The data-centric revolution: the sky is falling (let’s make lemonade) (2) |
9 |
Data’s gender gap: women’s health at risk (2) |
10 |
Coronavirus response and shadow ıt test ınformation governance (2) |
11 |
Data is risky business: the data crisis unmasked (2) |
12 |
Columns |
13 |
Make an ımpact: the time is now to become a data leader |
14 |
Blogs |
15 |
Predictions for data science and aı |
16 |
ıot and data analytics benefit companies |
17 |
Real-time bı for customer retention |
18 |
Features |
19 |
How aı will save us from the coronavirus |
20 |
Data modeling and database design |
21 |
Benefits of ethical hacking |
22 |
Converting customers through cxml |
23 |
Covıd-19 research database available |
24 |
O*net call to action – data warehouse specialist role |
25 |
The data catalog has risen |
26 |
Cloud-based data mapping tools |
27 |
Universal data vault: case study in combining “universal” data model patterns with data vault architecture – part 1 |
28 |
Data modeling is data governance |
29 |
Data warehouse design – ınmon versus kimball |
30 |
Understand relational to understand the secrets of data |
31 |
The digital transformer |