Remove 2009 Remove Business Intelligence Remove NoSQL Remove Programming
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Top 11 Programming Languages for Data Science

Knowledge Hut

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. However, data scientists need to know certain programming languages and must have a specific set of skills. It can be daunting for someone new to data science.

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Best Data Science Programming Languages

Knowledge Hut

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. However, data scientists need to know certain programming languages and must have a specific set of skills. It can be daunting for someone new to data science.

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Five Tech Jobs That Didn’t Exist Five Years Ago

Zalando Engineering

Big Data Engineer The term Big Data was first coined in the 1990s by John Mashey , referring to a large set of data that is almost impossible to manage using traditional business intelligence tools. They’re proficient in Hadoop-based technologies such as MongoDB, MapReduce, and Cassandra, while frequently working with NoSQL databases.

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Big Data Timeline- Series of Big Data Evolution

ProjectPro

1998 -An open source relational database was developed by Carlo Strozzi who named it as NoSQL. However, 10 years later, NoSQL databases gained momentum with the need to process large unstructured data sets. 2009 - According to a Gartner report, Business Intelligence (BI) became a top priority for the Chief Information Officers in 2009.