Alcohol (Teen FAQ - Britannica Digital Learning) by Anne Rooney

By Anne Rooney

Alcohol provides the immediately evidence approximately alcohol, addresses teenagers' matters, and gives aid for an individual suffering from an alcohol challenge. .

Age diversity: eleven and up
Grade point: 6 and up

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Extra resources for Alcohol (Teen FAQ - Britannica Digital Learning)

Sample text

Later in the 1970s, things changed with the invention of the relational data model and the relational database management system (RDBMS) that imposed structure and a method for improving performance. Most importantly, the relational model added a level of abstraction (the structured query language [SQL], report generators, and data management tools) so that it was easier for programmers to satisfy the growing business demands to extract value from data. The relational model offered an ecosystem of tools from a large number of emerging software companies.

It was a huge advance at the time, and it enabled developers to push the boundaries of the technology and create more complex models requiring complex techniques for joining entities together. The market for relational databases exploded and remains vibrant today. It is especially important for transactional data management of highly structured data. When the volume of data that organizations needed to manage grew out of control, the data warehouse provided a solution. The data warehouse enabled the IT organization to select a subset of the data being stored so that it would be easier for the business to try to gain insights.

That is the opportunity and challenge of big data. In this chapter, we provide you a context for what the evolution of the movement to big data is all about and what it means to your organization. The Evolution of Data Management It would be nice to think that each new innovation in data management is a fresh start and disconnected from the past. However, whether revolutionary or incremental, most new stages or waves of data management build on their predecessors. Although data management is typically viewed through a software lens, it actually has to be viewed from a holistic perspective.

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