Data Engineering Podcast
MARCH 11, 2018
You first co-authored Refactoring Databases in 2006. You first co-authored Refactoring Databases in 2006. What was the state of software and database system development at the time and why did you find it necessary to write a book on this subject?
AltexSoft
MAY 14, 2021
Apache Hadoop is a set of open-source software for storing, processing, and managing Big Data developed by the Apache Software Foundation in 2006. NoSQL databases. NoSQL databases, also known as non-relational or non-tabular databases, use a range of data models for data to be accessed and managed. Apache Hadoop.
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ProjectPro
AUGUST 26, 2015
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. . “We call this as the problem of BIG DATA” and hence the term “BIG DATA” was coined in this setting.
ProjectPro
JANUARY 24, 2023
Google BigQuery Architecture- A Detailed Overview BigQuery is built on Dremel technology, which has been used internally at Google since 2006. Q: Is BigQuery SQL or NoSQL? A: BigQuery is a hybrid system between SQL and NoSQL. Google's Dremel is an interactive ad-hoc query solution for analyzing read-only hierarchical data.
ProjectPro
AUGUST 31, 2018
Azure and AWS both provide database services, regardless of whether you need a relational database or a NoSQL offering. AWS works perfectly with NoSQL and relational databases providing a mature cloud environment for big data. Azure also supports both NoSQL and relational databases and Big Data through Azure HDInsight and Azure table.
Knowledge Hut
NOVEMBER 2, 2023
In 2006, Amazon launched AWS from its internal infrastructure that was used for handling online retail operations. It also offers NoSQL databases with the help of Amazon DynamoDB. It was one of the first companies to provide users with computing, throughput, and storage as needed on the basis of pay-as-you-go cloud computing model.
ProjectPro
OCTOBER 15, 2014
PIG Hadoop Pig Hadoop was developed by Yahoo in the year 2006 so that they can have an ad-hoc method for creating and executing MapReduce jobs on huge data sets. Hive Hadoop has gained popularity as it is supported by Hue. Hive Hadoop has various user groups such as CNET, Last.fm, Facebook, and Digg, and so on.
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