| 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 |
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