Fri, 24 Apr 2026 00:23:36 +0200 https://hearthis.at/melinaboothorb1/ en-EN contact@hearthis.at contact@hearthis.at https://hearthis.at/melinaboothorb1/ https://img.hearthis.at/8/0/0/_/uploads/dummy/user/w1400_h1400_q70_ptrue_v2_----cropped_user_00008.png no no https://hearthis.at/melinaboothorb1/what-is-big-data-2019/
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I saw Amazon's CTO Werner Vogels develop a product now called "big data" in 2006. customer. He said that relational databases were unable to meet Amazon's requirements. Interestingly, Werner Vogel refers to the difficulties encountered when dealing with the OLTP part of the business rather than the DSS. But today, big data includes OLTP, DSS and BI in real time.

Balancing Myths with Facts: What Isn't Big Data? Big data is not linked to a set of technologies and is not suitable for all companies that use large amounts of data. Indeed, the IT industry has made great strides in data caching, I / O performance, scalability, availability, consistency, real-time data processing, and collaboration with it. Unstructured data. However, as market dynamics support the development of business intelligence, these improvements could have been achieved organically. Where facts and myths spread is that even without people like Amazon, myths do not take into account the possibilities we are in today.

All in all, although the term "big data" is legal because it refers to a new method of processing large amounts of data, since "size" is part of the name, the type of size (small, medium, large) is not a constant change and timeout . Twenty years ago what was considered a large data set today might fall into a small category. Personally, I prefer to call it "network data", which refers to how data is distributed among many servers in a disk file rather than in a database.]]>
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I saw Amazon's CTO Werner Vogels develop a product now called "big data" in 2006. customer. He said that relational databases were unable to meet Amazon's requirements. Interestingly, Werner Vogel refers to the difficulties encountered when dealing with the OLTP part of the business rather than the DSS. But today, big data includes OLTP, DSS and BI in real time.

Balancing Myths with Facts: What Isn't Big Data? Big data is not linked to a set of technologies and is not suitable for all companies that use large amounts of data. Indeed, the IT industry has made great strides in data caching, I / O performance, scalability, availability, consistency, real-time data processing, and collaboration with it. Unstructured data. However, as market dynamics support the development of business intelligence, these improvements could have been achieved organically. Where facts and myths spread is that even without people like Amazon, myths do not take into account the possibilities we are in today.

All in all, although the term "big data" is legal because it refers to a new method of processing large amounts of data, since "size" is part of the name, the type of size (small, medium, large) is not a constant change and timeout . Twenty years ago what was considered a large data set today might fall into a small category. Personally, I prefer to call it "network data", which refers to how data is distributed among many servers in a disk file rather than in a database.]]> 4408241 no no Fri, 21 Feb 2020 19:01:30 +0100 2020-02-21T19:01:30+01:00 5:46