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 their unique insights on their areas of expertise. […]
Posts Tagged ‘data lakes’
Cloud Trends in 2019: Unlocking Your Data
The following blog comes from an interview with Perficient’s Azure Practice Director, Steve Holstad, and is part of a series on cloud trends with experts from within Perficient. Businesses have a lot of data. This isn’t news. However, the sheer amount of data that businesses have can even surprise them. This is because old models […]
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 […]
The Path to Artificial Intelligence in Healthcare
There is a lot of excitement about Artificial Intelligence. The excitement is certainly warranted based on the potential that these solutions can offer. In an industry that has massive amounts of data and is very dependent on the data to both run efficiently and, more importantly, delivery high quality patient care any technology which can […]
Cloud-Based Data Lakes: Healthcare Enterprise Architecture Zones
While there are many reasons to push data integration projects forward, healthcare organizations are often held back from using their data by incompatible formats, limitations of databases and systems, and the inability to combine data from multiple sources. This is why cloud-based data lakes have replaced the enterprise data warehouse (EDW) as the core of a modern […]
Information Governance – Essential Ingredient for Business Value
In my last blog, you may recall that we were discussing the value and the need for Standards and Templates for ensuring a consistent and efficient use of the Data Lake, both in its population (supplying) and in its retrieval (consuming) of information. To achieve this level of consistency and efficiency, as well as reliability, […]
Working with the Data Lake Aggregator – Standards and Templates
In my previous blog, I described the concept of an “Information Catalog” and how it plays a vital role in ensuring communication between the Data Lake Aggregator and Suppliers and Consumers is efficient and effective due to the common language that it provides. I also included the following diagram as an example of how the […]
Data Lake as Aggregator – The Critical Role of the Catalog
My previous blog talked about a Data Lake using a Supplier-Aggregator-Consumer analogy and talking about the roles each of these parties play. One factor that is critical to the success of this approach is the use of a common vocabulary that ensures efficiency and effectiveness in the interactions and collaborations between the parties. The implication […]
Data Lake Participants – Roles and Responsibilities
As you may recall, in my last blog I introduced the analogy of the Aggregator to describe utilizing a Data Lake as a Consolidator of information, and I mentioned the three key roles in this model: the Supplier, the Aggregator and the Consumer. In this post I will provide a little more detail on the […]
Data Lake Consolidation – the Aggregator Analogy
In my last blog, I introduced the concept of the Data Lake as a Consolidator and the critical success factor of applying robust Information Governance to this environment. In this post, I want to introduce an analogy to help visualize this environment and the parties involved. So, a Data Lake as Consolidator. What does that […]
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 […]
The Role of Data Lakes in Healthcare
According to information technology research and advisory company Gartner, there is a market shift towards hybrid approaches to data management, as companies look to solve complex challenges with a mix of alternative and traditional deployments. Healthcare providers and health plans are asking the question, “Do we need an enterprise data warehouse, a data lake, or […]