Modernization. It’s a hot topic for organizations in all types of industries that are looking for ways to streamline hardware and software footprints while gaining control and insights from the data deluge. In the data integration space, this means we have to look beyond a traditional ETL approach to one
Time. It flies. It does so whether or not you’re having fun or otherwise putting it to good use. To know where it flies, you’d need to watch. But most of us can’t make the time to watch. How we use time is important since it’s the one resource we
I've seen a number of articles and webinars recently that discuss data integration as a cloud-based service. So I thought it was worth exploring what this really means in the context of big data – specifically when the objective is to exploit many sources of streaming data for analytics. My initial reaction
.@philsimon with some thoughts on the panoply of available tools out there.
It's Data Stewards Day! I could barely sleep last night after decorating the office with old floppy disks and outmoded data governance presentations from 2008. (Editor's note: That didn't happen, but it's a great idea for next year.) Yes, for anybody who lives and loves data, this is truly "the
The other day I was chatting with an ETL developer and he said he always pushes queries into the database instead of dragging data across the network. I thought “Hmm, I remember talking about those topics when I was a DBA.” I'd like to share those thoughts with you now.
There is no doubt about it – over the past few years there has been a monumental shift in how we think about “enterprise” data management. I believe this shift has been motivated by four factors: Open data. What may have been triggered by demands for governmental transparency and the need
Some years ago I was consulting in a large financial institution. I was brought in to help transfer the company from one financial classification scheme to a new scheme. The project manager assumed this was a three-month project. He was mistaken. Nearly six months into the project we realized this was
Learn the top 5 reasons for managing data where it lives – whether it's in database or in memory, in the cloud or in-stream.
.@philsimon on whether data governance is still relevant.
