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Developing a Functional Data Governance Framework

Data Governance practices need to mature. Data Governance Trends in 2019 reports that dissatisfaction with the quality of business data continues in 2019, despite a growing understanding of Data Governance’s value. Harvard Business Review reports 92 percent of executives say their Big Data and AI investments are accelerating, and 88 percent talk about a greater […]

Fundamentals of Data Virtualization

An innovative Data Strategy called “data virtualization” (DV) is employed to tackle high volumes data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems to […]

Unifying Big Data Workloads

Try querying Big Data sets and computing results through high volumes and variety across multiple independent storage systems – you’ll find a tangled web in the Tower of Babel, where platforms communicate in different languages. Then ask for speedy manipulations with that data set and it seems almost impossible. This describes the challenge faced by […]

Data Governance vs. Master Data Management

“Data Governance is the creation of rules, the execution of those rules, and the adjudication of any violation of the rules,” remarked Frank Cerwin in a recent DATAVERSITY® interview. He likened its structure to the three branches of the government: “The legislative branch makes the laws, the executive branch executes the laws, and the judicial […]

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 […]

A Brief History of the Hadoop Ecosystem

In 2002, internet researchers just wanted a better search engine, and preferably one that was open-sourced. That was when Doug Cutting and Mike Cafarella decided to give them what they wanted, and they called their project “Nutch.” Hadoop was originally designed as part of the Nutch infrastructure, and was presented in the year 2005. The […]

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