In this two-part series, which posts as the calendar turns to a new year, I revisit the top data management topics of 2015 (Part 1) and then try to predict a few of the data management trends of 2016 (Part 2). Data management in 2016 The Internet of Things (IoT) made significant
In my recent posts, I've been exploring the issues of integrating data that originates from beyond the organization. But this post looks at a different facet of extra-enterprise data management: data availability. In many organizations, there's a growing trend of making internal analytical data accessible to external consumers. I can
In two previous posts (Part 1 and Part 2), I explored some of the challenges of managing data beyond enterprise boundaries. These posts focused on issues around managing and governing extra-enterprise data. Let’s focus a bit on one specific challenge now – satisfying the need for business users to rapidly ingest new data sources. Sophisticated business
Most people have logged on to a social media site, maybe to look up an old friend, acquaintance or family member. Some people play games, or post funny pictures or other information they want to share with everyone. Do you ever ask yourself what happens with this information? What if your business wanted to purchase this information and
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
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
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
I feel like I'm singing a song called Data in the Sky – With Options! The cloud is forever in our minds these days as a lower cost option because it requires fewer resources to address our data needs. Cloud solutions are an increasing part of many organizations' budgets every year. Whether enterprise data is
