data preparation

9月 062016
 

I'm a very fortunate woman. I have the privilege of working with some of the brightest people in the industry. But when it comes to data, everyone takes sides. Do you “govern” the use of all data, or do you let the analysts do what they want with the data to […]

The post Data preparation and data wrangling, Part 1 (yippee, bring your lasso) appeared first on The Data Roundtable.

9月 022016
 

Critical business applications depend on the enterprise creating and maintaining high-quality data. So, whenever new data is received – especially from a new source – it’s great when that source can provide data without defects or other data quality issues. The recent rise in self-service data preparation options has definitely improved the quality of […]

The post Is data quality a component of data preparation? Or vice versa? appeared first on The Data Roundtable.

8月 292016
 

Hadoop has driven an enormous amount of data analytics activity lately. And this poses a problem for many practitioners coming from the traditional relational database management system (RDBMS) world. Hadoop is well known for having lots of variety in the structure of data it stores and processes. But it's fair to […]

The post Data preparation strengthens Hadoop information chain appeared first on The Data Roundtable.

8月 262016
 

Have you ever wanted to include data in an analysis without having to subset it from different tables and put it all together in a new table? Have you wanted to “see” how your data will come together before committing to joining many tables to make sure you get it […]

The post JMP 13 Preview: The power of the new Virtual Join appeared first on JMP Blog.

8月 222016
 

In my last post, I talked about how data still needs to be cleaned up – and data strategy still needs to be re-evaluated – as we start to work with nontraditional databases and other new technologies. There are lots of ways to use these new platforms (like Hadoop). For example, many […]

The post Clean-up woman: Part 2 appeared first on The Data Roundtable.

8月 172016
 

I'm hard-pressed to think of a trendier yet more amorphous term today than analytics. It seems that every organization wants to take advantage of analytics, but few really are doing that – at least to the extent possible. This topic interests me quite a bit, and I hope to explore […]

The post Data prep considerations for analytics, Part 1 appeared first on The Data Roundtable.

8月 152016
 

What does it really mean when we talk about the concept of a data asset? For the purposes of this discussion, let's say that a data asset is a manifestation of information that can be monetized. In my last post we explored how bringing many data artifacts together in a […]

The post Data cataloging for data asset crowdsourcing appeared first on The Data Roundtable.