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Posts Tagged ‘Big Data Governance’

Web API Using Azure

Meet Perficient’s Chief Strategists: Arvind Murali

Thrilling our clients with innovation and impact – it’s not just rhetoric. This belief is instrumental for our clients’ success. In 2018, we introduced our Chief Strategists, who provide vision and leadership to help our clients remain competitive. Get to know each of our strategists as they share unique insights on their areas of expertise. The […]

Governance in Healthcare: Seen as a Business Capability

Related to the trend of recognizing the difference between information and data, content, and knowledge is that governance of information requires it be viewed as a business capability. This recognition is starting to take hold because healthcare organizations are realizing that it is the business needs and drivers that supply the context for data, content, […]

The Challenge of Fractured Governance: Digital Health Innovation

Once upon a time, it was simple. The IT department took care of technology implementations and kept the trains (emails) running. Marketing had a distinct set of tools, operating within relatively clear parameters. Clinical applications operated in their own silos, and that was just fine. Operational and workflow systems had their own idiosyncrasies. Imperfect, but […]

Governance in Healthcare: Big Data is Table Stakes

Big data itself does not alter the approach to governance nor its framework. And big data isn’t just about data – it’s also concerned with managing and governing vast amounts of content of varying types such as video, images, voice, etc. Accountabilities and decision rights still need to be assigned; clear rules, processes, controls still […]

Data Lake and Information Governance – The Key Takeaways

A Data Lake can be a highly valuable asset to any enterprise, and there is a myriad of technology solutions available for leveraging the processes to feed, maintain and retrieve information from the Lake. But all this technology is, if not worthless, significantly less valuable, if the environment is not well governed and managed. This […]

Advantages of Datorama

Data Lakes and the Information Governance Critical Success Factor

Since my last post I’ve been working for a client that is actively engaged in establishing a Data Lake for the purpose of supporting their analytics efforts, but also looking to “re-architect” the way their systems collaborate by using this Data Lake environment to control and consolidate all information-sharing interactions within their environment. I was […]

5 Informatica World 2018 Sessions to Improve Your Data Management

Two of the biggest data management challenges organizations face today are lack of awareness and security. Informatica World 2018, coming up in two weeks in Las Vegas, is an outstanding opportunity to learn how to mitigate these challenges, whether you’re currently leveraging Informatica tools or in the process of considering them. We’ll be there – […]

Field of Data Science in 2018

It is no secret that a data science and analytics specialty was one of the hottest and fastest growing careers in 2017, leading to resource shortages (as denoted by the picture below). However, in 2018 and beyond, a data scientist will evolve into data engineer, a data steward, and a governance lead. Every field will […]

Hadoop Summit Becomes Dataworks Summit #HS16SJ

At the end of the last keynote at Hadoop Summit 2016, Herb Cunitz (President of Hortonworks) announced that as part of the continuing effort to make a bigger tent, next year’s conference will be called Dataworks Summit. First question, will we still get the fun but mildly scary 3D elephant render?   Nobody is surprised […]

Big Data and You: DataOps

Welcome to “Big Data and You (the enterprise IT leader),” the Enterprise Content Intelligence group’s demystification of the “Big Data” . The often missing piece of the Infrastructure as code movement emerging from the DevOps space is what we think of as DataOps. Big Data technologies are uniquely poised to fill this gap because they […]

DevOps Considerations for Big Data

Big Data is on everyone’s mind these days. Creating an analytical environment involving Big Data technologies is exciting and complex. New technology, new ways of looking at the data which is otherwise remained dark or not available. The exciting part of implementing the Big Data solution is to make it a production ready solution. Once […]

Big Data: Integral Part of an Information Architecture

Forrester recently released some research titled “Reset on Big Data” and this research highlighted the lag between IT’s understanding of Big Data’s role within the enterprise data ecosystem.   In short, business leaders were 40% less likely to cite Big Data’s role as an extension to the current the current analytical environment.  This is not surprising […]