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A Brief History of Data Quality

The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and usefulness. Some data isn’t accurate at all, which, in turn, promotes bad decision-making. Some organizations promote fact checking and Data Governance, and, as a consequence, make decisions that give them an […]

Data Science Use Cases

A business use-case is generally defined as a sequence of business actions that lead to a predetermined, value-added outcome. Data Flair shares the Top 6 Data Science Use Cases slated to bring in another industrial revolution. From banking to transportation in the physical business world, and from social media to e-commerce on the digital business space […]

In-Memory Database Architecture: An Overview

In-memory databases work faster than databases with disk storage. This is because they use “internal” optimization algorithms, which are simpler and faster, and this type of system requires fewer CPU instructions than a disk storage system. Additionally, accessing data that has been stored “in-memory” eliminates the need for seek time while searching for data. As […]

Kubernetes Fundamentals: Facilitating Cloud Deployment and Container Simplicity

Kubernetes (sometimes abbreviated to “kube”) is open-sourced, was originally developed by Google, and organizes containers into logical units for transport and use in the cloud. Containers support the construction of self-contained environments capable of transporting data, and the software supporting it. Containers are, ultimately, a way to package software and other application components. It is […]

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