Remove 2006 Remove Relational Database Remove Unstructured Data
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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data. This data isn’t just about structured data that resides within relational databases as rows and columns. We’ll cover the key players worth your attention. Apache Hadoop.

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Big Data Timeline- Series of Big Data Evolution

ProjectPro

1997 -The term “BIG DATA” was used for the first time- A paper on Visualization published by David Ellsworth and Michael Cox of NASA’s Ames Research Centre mentioned about the challenges in working with large unstructured data sets with the existing computing systems. Truskowski.

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Difference between Pig and Hive-The Two Key Components of Hadoop Ecosystem

ProjectPro

Just before we jump on to a detailed discussion on the key components of the Hadoop Ecosystem and try to understand the differences between them let us have an understanding on what is Hadoop and what is Big Data. What is Big Data and Hadoop? Hive lose some ability to optimize the query, by relying on the Hive optimizer.

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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. a suitable technology to implement data lake architecture. MongoDB: an NoSQL database with additional features. What is Hadoop? Here are some options to consider.

Hadoop 59