Posts Tagged ‘Big Data’

With the advent of Splice Machine and the release of Hive 0.14 we are seeing Hadoop’s role in the data center continue to grow. Both of these technologies support limited transactions against data stored in HDFS. Now, I would not suggest moving your mission-critical ERP systems to Hive or Splice Machine, but the support of […]

In our last “cloud fact or fiction” post, we discussed the cost of implementing clinical trial software in the cloud. This time around we’ll address the ongoing costs you can expect to see if you decide that hosting your applications in the cloud is the way to go. Claim #3: Ongoing costs for cloud/hosted clinical […]

Big Data is big deal. Every vendor has a strategy and a suite of products. Navigating the maze and picking the right Big Data platform and tools takes some level of planning and looking beyond techie’s dream product suite. Compounding the issue is the open source option vs. going with a vendor version of the […]

In part 1 of this series, we discussed some of the most common assumptions associated with Big Data Proof of Concept (POC) projects. Today, we’re going to begin exploring the next stage in Big Data POC definition – “The What.” The ‘What’ for Big Data has gotten much more complicated in recent years; and now […]

Tomorrow I will be giving a webinar on creating business cases for Big Data. One of the reasons for the webinar was that there is very little information available on creating a Big Data business cases. Most of what is available boils down to a “trust me, Big Data will be of value.” Most information […]

When Apple jumped into the payment processing with ApplePay, I thought this would be a great leg up for Apple. But who will be the winner and who will be the loser? Granted the payment switches from the credit card to ApplePay which indirectly pays for the purchase, who cares as long as we can […]

While big data is a catchy buzzword and many race to offer their own definition of it, many still struggle to understand what it really means and question its real value. According to a recent survey conducted by Talend, only 10% of respondents were engaged in a large scale big data implementation project, while 36% […]

When you played baseball as a youngster, and stepped into the batter’s box, the last thing you wanted to be was an “easy out”. Ironically, today many healthcare organizations are looking for the “easy out” to rapidly develop the business intelligence reporting needed to address regulatory reporting demands, population health management and chronic condition management, […]

One of the key points I make in our Executive Big Data Workshops is that effective use of Big Data analytics will require transforming both business and IT organizations.   Big Data with access to cross-functional data will transform the strategic processes within a company that guide long term and year to year investments. With the […]

Perficient is proud to be a Gold Plus Sponsor of IBM Insight 2014, the premier conference for big data and analytics, which is being held October 26-30 in Las Vegas. Visit us at booth #G-721 in the EXPO Hall, where you can learn how we’ve leveraged our extensive expertise in big data, information management, enterprise […]

A few years back I worked for a client that was implementing cell level security on every data structure within their data warehouse. They had nearly 1,000 tables and 200,000 columns — yikes! Talking about administrative overhead. The logic was that data access should only be given on a need-to-know basis. The idea would be […]

In the Hadoop space we have a number of terms for the Hadoop File System used for data management. Data Lake is probably the most popular. I have heard it called a Data Refinery as well as some other not so mentionable names. The one that has stuck with me has been is the Data […]