PASSIO BLOG

There are so many events that impact a business performance and a dashboard summarizes the most important events so you can take decisions.

In the new world of information, the data is valuable and it’s getting more and more volume. Microsoft Azure can help.

One of the biggest apps, MicroStrategy, recently presented its news for 2020, which promises to streamline and improve the 2019 version.

The impact of Covid-19 (coronavirus) has had a major impact on the economy, populations and companies worldwide.

With the COVID-19 pandemic growing, many companies are now working remotely. Here are some tips to work from home efficiently.

Data virtualization tools have been gained value across the world.

The Data Lake concept is no more than a centralized data repository, where the information is physically copied to a single repository.

Nowadays the world lives at a dizzying speed, difficult to keep up or predict what will be the next breakthrough.

Data virtualization provides a virtual abstraction layer where the information from all the sources.

Digital transformation requiser cultural and behavioural changes, new ways of working and new practices related to working.

Data modernization is key in digital transformation because traditional architectures don’t fit the purpose anymore.

Here are the 5 Data Trends to watch in 2020.

So, is Data Warehouse Automation a Trick or Treat?

Estimating the average object creation time in traditional ETL tools depends on the structures of the organizations and the type of creation

Data marketplace, the global idea is just like any other marketplace but instead of being all about the fruits, vegetables or flowers...

Nowadays everyone talks about big data, and many companies are using it to improve their businesses, and Netflix is the perfect example.

Data warehouse automation tools can help to address the limitations of waterfall and traditional approaches for building Data Warehousw.

I admit that, like many professionals in my area, the initial skepticism about the DataRobot platform - and many AutoML platforms - was big,