Browsing articles tagged with " meme"

What Your Database Security Design….

Jul 15, 2015   //   by Karen Lopez   //   Blog, Data Modeling, Database Design, DLBlog, Fun, Snark, WTF  //  3 Comments

…looks like to me.

Sure, you’ve got your own home-grown database security system all designed and working in development.  And then you ask me to confirm that it’s “safe”. I’ll tell ya “it’s safe as long as you don’t actually put any data in it”.

Imagining the Power of Data

Mar 12, 2015   //   by Karen Lopez   //   Analytics, Blog, Data, DLBlog  //  No Comments

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Tim Berners-Lee, in a 2007 Bloomberg Business interview, discusses his vision of enterprise data and how organizations would bring together varied sets of data.

“When you use the word “silos,” that’s the word we hear when somebody in the enterprise talks about the stovepipe problem. Different words for the same problem: that business information inside the company is managed by different sorts of software, and you have to go to a different person and learn a different program to see it. Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.

“Anybody making real decisions uses data from many sources, produced by many sorts of organizations, and we’re stymied. We tend to have to use backs of envelopes to do this and people have to put data in spreadsheets, which they painfully prepare. In a way, the Semantic Web is a bit like having all the databases out there as one big database. It’s difficult to imagine the power that you’re going to have when so many different sorts of data are available.”

Regardless of whether or not you are using Semantic technologies, I think you can see that we are making progress towards understanding that silo-ed data is still here and that we need ways to bring the power of external data together to make it useful.  New technologies & approaches such as analytics and machine learning require that we understand the data, its provenance and its freshness to get decent result.

Imagine the power. Indeed.

Data Stories…

Mar 10, 2015   //   by Karen Lopez   //   Blog  //  No Comments

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Data Stories….

Feb 26, 2015   //   by Karen Lopez   //   Analytics, Blog, Data, Data Visualization  //  1 Comment

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I prefer to think of it is trying to decipher the stories data is already saying.  So more listening, less torture.

A New World of Data….

Feb 10, 2015   //   by Karen Lopez   //   Blog  //  No Comments

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Theory of Data…

Jan 13, 2015   //   by Karen Lopez   //   Blog  //  No Comments

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Your #1 Job….

Jan 6, 2015   //   by Karen Lopez   //   Blog, Data Governance, Data Modeling, Database Design, DLBlog  //  3 Comments

Tim Berners-Le Quote on CEO connect data

I hear frequently, especially from the DBA groups, that our number one job as a data professional is performance.  That typically includes making sure database queries run fast, that systems have expected uptimes, and that developers/DBAs can do their jobs as fast as possible without slowing down to consider whether or not they are doing the right thing for the data. In fact, I’ve been told many times that data quality is Job NULL, meaning that we shouldn’t care as much about data quality as we do about performance.  The crazy things I’ve read: query running slow? Delete some rows and see if anyone notices.  Assign numeric datatypes to number-like columns so they will be smaller (and missing leading zeros).  Make columns small, even if it means losing data. Shove data in a column with comma delimiters so that you don’t have to change the database.  Re-use a column for something it was never intended for.

Developers and DBAs start thinking this way, for the most part, because they are measured and rewarded based on all kinds of factors other than data quality.  And yet management expects systems to support exactly what Tim Berners-Lee says in this quote.  Sure, making systems purr is one part of allowing data to be connected across sources.  But misleading data, mis-understoood data and plain old bad data means that CEOs can’t run a company effectively. 

Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events.

Most organizations are missing this ability to connect all the data together.

There are all kinds of presentations and blog posts about how to make systems run fast.  There are so few about how to love your data so that the CEO can rely on it. The first person that needs to fix this mismatch of incentives and actions is the CEO.  She needs to ensure that IT professionals are properly evaluated and motivated to produce both fast data and correct data.  And to stop providing incentives for IT professionals to work against data quality.

DBAs and Developers want to do the right thing. It’s just that we are paying them to do the wrong things over the right things.  

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