What is a Data Lake?

Written By: Mark DeRosa, Director of Data Analytics and Modernization Introduction This article provides an introductory overview of data lakes. We’ll begin with a brief history, highlight some benefits of a data lake, and define some terms you may hear used in various information technology (IT) circles. By the end of this article you should have a solid understanding of data lakes and why people are embracing this exciting new approach to creating a more data-driven culture within their organizations. History of Data Lakes Since the topic of this article is a data lake, let’s define that term first and then provide a brief history. (We’ll define more data lake-related terms later in this article after we understand the topic…

Microsoft Live Share Extension

With Microsoft’s recent release of Azure DevOps, Microsoft is bringing modern DevOps to the enterprise.   To improve deployment frequency and achieve faster time to market, developers can take advantage of Microsoft’s recent Live Share Extension in VS Code.  Our DevOps team has put together a whitepaper detailing the Live Share Extension and how it can improve developer collaboration, bug fixes, and deployment.

Practical Considerations for Machine Learning in Healthcare

Continued uncertainty and risk in the healthcare industry is pressuring healthcare executives to keep a steady focus on reducing costs and transforming delivery models to improve the patient experience. Artificial intelligence (AI) manifested through machine learning algorithms is already transforming a variety of healthcare applications including medical imaging diagnosis, drug discovery and personalized medicine. The McKinsey Gold Institute estimates that applying big-data strategies to better inform decision making could generate up to $100 billion in value annually across the US health-care system, by optimizing innovation, improving the efficiency of research and clinical trials, and building new tools sets for physicians, consumers, insurers and regulators to meet the promise of more individualized approaches.   How Machine Learning Analyzes Data  The healthcare industry sits on a goldmine of data that is generated from many sources:  research and development (R&D); physicians and…

Definitive Logic is now an approved Cloud Service Provider (CSP)

Definitive Logic Corporation now acts as a one-stop shop for Microsoft solutions for Enterprises and Federal Government Agencies, offering full service of the industry-leading products, such as Azure, Office 365, Microsoft 365, and Dynamics 365. Definitive Logic, a multi competency Microsoft Gold Partner supplier of transformative digital services, is proud to become a Microsoft Tier 1 Cloud Solution Provider in both Azure Government and Commercial.

Microsoft Gold Partnership for Application Development and Collaboration and Content

Definitive Logic is pleased to announce reaching #Microsoft Gold Partner status for Application Development, in addition to our Collaboration and Content Partnership. This is a result of 10+ years of delivering successful Microsoft Solutions. Contacts us today for a free consultation in how Microsoft can help you. #modernization #IT

SharePoint Online to Azure SQL Database: Part 1

"When we first set out to setup SharePoint Online to integrate with an Azure SQL Database with Business Connectivity Services (BCS), I thought it was going to be very quick and easy.  It probably will be from now on, but we had to work our way through some challenges.  We did our research and felt pretty confident that it was going to be very easy.  To be honest, the steps to setup BCS in SharePoint Online aren’t exactly rocket science.  But there are a few gotchas and if you’re not careful, they will get you.  In this article we will walk through the steps to setup SharePoint Online to integrate with Azure SQL Database via BCS." SharePoint Online BCS to…

Increasing Healthcare Business Intelligence Impact with Enterprise Architecture

Information Technology (IT) is at the heart of every organization and healthcare organizations are no different.  Having a well-defined enterprise architecture (EA) framework and strategy is key to driving cost savings and interoperability across a healthcare agency or system.  Many brilliant enterprise architects have spent countless hours investigating, inventorying, analyzing dependencies, and building highly insightful EA views of their organizations only to find that their masterpieces sit on the shelf and are rarely updated or used.  There are several accepted EA frameworks in the industry (TOGAF, DODAF, FEA) that characterize, in “view” format, the who, what, why, when, where, and how of each component or aspect of an enterprise.  These EA views (capability, operational, system, data, etc.) are crucial to…