A Chief Technology Officer’s RoadMap to the Modern Tech Stack

With the arrival of DevOps along with the mindset of “you create it, then it’s yours”, the tech stack has advanced greatly for modern startups. There have been tons of dev tools launched within the past decade which have completely altered the way developers deal with workloads. Recently, I reviewed the tech landscape thoroughly and… Continue reading A Chief Technology Officer’s RoadMap to the Modern Tech Stack

Does Today’s CIO Play the Part of Über-Data Scientist?

Intro In the world of executives, IT, and especially BI, there’s a ton of talk surrounding two new and quickly-shifting job roles. Both are very demanding and interesting roles, specifically that of the Data Scientist and that of today’s CIO. In this post I discuss any parallels that might exists between these two roles. Data… Continue reading Does Today’s CIO Play the Part of Über-Data Scientist?

Differences Between a Data Warehouse and a Data Lake

According to Wikipedia, Data Warehouses are defined as: “…central repositories of integrated data from one or more disparate sources. They store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons.” This high level definition mentions the purpose of a data warehouse, but it… Continue reading Differences Between a Data Warehouse and a Data Lake

What is a Health Informatics Specialist?

Keep reading to find out more about the role of a health informatics specialist, the skills employers want in a health informatics specialist, and how you can join the field. What is a health informatics specialist? A health informatics specialist is a someone who deals with healthcare data. This data can involve patient records as… Continue reading What is a Health Informatics Specialist?

An End to Data Warehouses?

The Data warehouse architecture has been in IT industry for at least three decades from now. The history of data warehousing started with helping business leaders get analytical insights by collecting data from operational databases (transactional systems — historical data) into centralized warehouses, which then could be used for decision support and business intelligence (BI).… Continue reading An End to Data Warehouses?

Tips for Managing Metadata in a Data Lake

To learn more about architecting a data lake to leverage metadata and integrate with existing metadata tools, read the free O’Reilly report, Understanding Metadata: Create the Foundation for a Scalable Data Architecture, by Federico Castanedo and Scott Gidley. Modern data architectures promise broader access to more and different types of data in order to enable… Continue reading Tips for Managing Metadata in a Data Lake

5 Key Steps to Take in Data Governance for Healthcare Analytics

As data gains more prominence in healthcare as a top strategic asset, health systems are increasingly understanding the importance of a data governance strategy. Healthcare analytics leaders are learning, however, that there’s a big leap from knowing they need data governance to implementing a strategy. Even expert data analysts benefit from guidelines as they move towards data governance. This… Continue reading 5 Key Steps to Take in Data Governance for Healthcare Analytics

New combination of materials provides progress toward quantum computing

The future of quantum computing may depend on the further development and understanding of semiconductor materials known as transition metal dichalcogenides (TMDCs). These atomically thin materials develop unique and useful electrical, mechanical, and optical properties when they are manipulated by pressure, light, or temperature. In research published today in Nature Communications, engineers from Rensselaer Polytechnic… Continue reading New combination of materials provides progress toward quantum computing

Emergence of Data Lakes for Metadata: A New Method for Storing and Managing Metadata

Data is becoming more and more popular to use in today’s business world. The roles on data teams are more diverse than ever — data engineers, analysts, analytics engineers, data scientists, product managers, business analysts, citizen data scientists, and more. Further, the tools and infrastructure that these teams utilize are becoming more complicated. These tools… Continue reading Emergence of Data Lakes for Metadata: A New Method for Storing and Managing Metadata