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Graph Databases: An Overview

The concept of graph databases traces back to Leonhard Euler. Euler was an 18th century Swiss mathematician who made several important discoveries in mathematics, such as infinitesimal calculus. In solving the “Seven Bridges of Königsberg” problem in 1736, Euler laid the foundations for graph theory. (He also got a fun shout-out in Hidden Figures when […]

Data Governance and Data Discovery: Enabling Data Regulation Implementation

Businesses are continuously striving to leverage data-driven insights or competitive intelligence, the concept of developing an organizational “data culture” will gain prominence. Data and data analytics will continue to play key roles in global businesses of the future. According to the article Why Data Culture Matters: “Organizational culture can accelerate the application of analytics, amplify […]

Bringing Hyperconvergence Architecture and VDIs to Everyone

A hyperconverged infrastructure (HCI) uses software and/or hardware to create an IT infrastructure that virtualizes all of the needed elements to create an efficient and highly functional computer processing system. An HCI includes compute, networking, and a storage combined together in a virtualized environment, and normally runs on easily purchased, off-the-shelf commercial servers. The primary […]

The Challenge of Scaling Transactional Databases

Generally speaking, databases are storage systems with various built-in software features to manage the movement of data within. A database management system (DBMS) describes software controlling other programs and applications. The creation and implementation of a well-designed database is a serious challenge. With the evolution of data volumes and constantly changing needs, new types of […]

Data Strategy and Serverless Computing: How Do They Work Together?

Businesses need a strong Data Strategy to manage vast amounts of data, drive innovation, develop a data culture, and to maintain a competitive advantage. Though cloud environments offer fast, high-volume data collection and scalable storage space; machine learning-powered data preparation; AI-enabled analytics; data backup and recovery facilities — leaving the developers free to pursue coding. […]

Data Modeling in an Agile World

Data Modeling creates a model for storing and processing data that works in a predictable, consistent manner. It includes the visual presentation of data structures, while enforcing business rules and government policies. A data model focuses on the needed data and its organization, rather than the operations performed on the data. Data Modeling is done […]

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