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Posts Tagged ‘Enterprise Data and Analytics’

Trends Impacting Governance: Residency Beyond the Perimeter

Along with Big Data is the recognition that much of the information to be governed is now beyond an enterprise’s firewall. Residency in the Cloud does not excuse an organization from effectively governing this information. If anything, it makes it even more critical for ensuring things like privacy, access and timeliness remain intact. The reality […]

2017 Trends: Non-Traditional Data to Achieve the Triple Aim

In previous posts we have taken a look at healthcare provider trends for 2017. Our first 4 trends, Handing the Patient Portal Reins to the Patient; Connecting Patients to Connected Health; Increased Demand for Mobile Creates Connectivity Challenges; Retail Health Clinics Increase Access to Affordable Care. In our last trend, Integrating Non-Traditional data to Achieve […]

Just in Time for #HIMSS17 – Top 5 Provider Trends for 2017

Times are changing in nearly every aspect of life, and the healthcare industry is not immune to this disruption. Meeting the rising demands of patient and consumers requires healthcare organizations to keep pace with the ever-changing technology landscape. While there is no rest for the weary in this fast-paced world of technology evolution, there is […]

Why Predictive Analytics & Connected Health Are New BFFs

I had a fun conversation recently about a patient population that is near and dear to my heart. Near because, well, I am a member of this particular patient population, and dear because, even though I grew up in San Diego, I consider myself a Cincinnatian by heart. Long live the Queen City. The conversation […]

Big Data and You: What makes data “Big”?

Welcome to “Big Data and You (the enterprise IT leader),” the Enterprise Content Intelligence group’s demystification of the “Big Data” . The words “Big Data” are thrown around board rooms like a magic fix to any data related shortcomings the enterprise has. “Big Data” is not a magic wand, but the technologies which fall under […]

The Year in Review | Top 10 EIS Posts of 2015

It’s been a busy year in the Enterprise Information Systems space. With over 75 posts this year, our in-house experts found themselves face to face with big changes and an abundance of great information to share. We sifted through that content and present to you the Top 10 EIS posts of 2015.   Ten | […]

Time Well Spent in 2015

The end of 2015 is fast approaching, with December looming just a week away. For most people, December is packed with the hustle and bustle of last-minute gift shopping, or end-of-year projections and budgets for 2016. Often in the sway of all this activity, many are so focused on the approaching New Year that they […]

Cyber Security Awareness Month brings plenty of awareness

October 1st marked the beginning of the United States’ National Cyber Security Awareness month.  Three days into the month, awareness is exactly what we have. Last week, Experian and T-Mobile announced a significant data breach.  What’s worse is that the hackers were able to maintain the breach for over two years.  T-Mobile CEO John Legere, […]

Cassandra NoSQL Data Modeling Snip-pet

Data modeling in Cassandra is a little tricky and requires a combination of science and art.  Think of the Cassandra column family as a map of a map: an outer map keyed by a row key, and an inner map keyed by a column key. Both maps are sorted. To maximize Cassandra’s capabilities and for long […]

NoSQL NoSecurity – Security issues with NoSQL Database

As More companies’ debate on adopting a Big Data Solution. Some of the discussion that comes across is whether to use Hadoop or Spark, NoSQL database or continue using their current RDBMS. The ultimate question is “is this technology for us?”  NoSQL database are highly scalable, provide better performance, designed to store and process a […]

Hadoop, Spark, Cassandra, Oh My!

Previously, I reviewed why Spark will not by itself replace Hadoop, but Spark combined with other data storage and resource management technologies creates other options for managing Big Data.  Today we will investigate how an enterprise should proceed in this new, “Hadoop is not the only option” world.  Hadoop, Spark, Cassandra, Oh My!  Open source Hadoop and […]

Spark Gathers More Momentum

Yesterday, IBM threw its weight behind Spark. This announcement is significant because it is a leading indicator of a transition from IT-focused Big Data efforts to business-driven analytics and Big Data investments. If you are interested in learning more about this announcement and what it means in the bigger picture, I wrote a blog entry on our […]

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