Big Data

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WorldFamousOnyx6547
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Which of the following best describes big data?

A large amount of structured or unstructured data that is difficult to handle

What is the main reason why big data is attracting attention?

All of the above

What is the purpose of metadata?

To define and describe a set of data

Which one of these is true about Hadoop?

Hadoop is a distributed computing platform based on open source.

What is the purpose of MapReduce?

To organize scattered data into relevant data classifications.

What is Tajo?

Tajo is a distributed data warehouse project based on Apache Hadoop.

What is the purpose of a data diet?

To compress data rather than deleting it.

Study Notes

Big Data

  • Big data refers to the large and complex sets of data that traditional data processing tools are unable to manage due to their size and complexity.

Importance of Big Data

  • Big data is attracting attention due to its potential to reveal hidden patterns, unknown correlations, and other insights that can lead to better decision-making and strategic business moves.

Metadata

  • Metadata is "data that provides information about other data", serving as a summary or description of the larger dataset.

Hadoop

  • Hadoop is an open-source, Java-based programming framework that supports the processing of large data sets in a distributed computing environment.

MapReduce

  • MapReduce is a programming model used for processing large data sets with a parallel, distributed algorithm on a cluster, consisting of two primary phases: the map phase and the reduce phase.

Tajo

  • Tajo is an open-source, distributed relational database system that provides low-latency, scalable, and fault-tolerant operations for large-scale data processing.

Data Diet

  • A data diet refers to the process of reducing the amount of data being processed, stored, or transmitted, typically to improve efficiency, reduce costs, and enhance data quality.

Test your knowledge on Big Data and its impact on businesses! This quiz will cover the basics of big data, its challenges, and its growing importance in today's digital age.

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