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The Rise of Unstructured Data

Cloudera

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. months since 2012. Here we mostly focus on structured vs unstructured data. In terms of representation, data can be broadly classified into two types: structured and unstructured.

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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. Big data analysis played a crucial part in Obama’s 2012 re-election campaign. Truskowski. 10 21 i.e. 4.4

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Knowledge Graphs: The Essential Guide

AltexSoft

The Google Knowledge Graph saw the world in 2012 and it significantly increased the interest of the academic and business community in the task of representing knowledge in graphs, coining the term “knowledge graph” and setting the trend for the coming years. AI applications of knowledge graphs. The future of knowledge graphs.

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5 Reasons why Java professionals should learn Hadoop

ProjectPro

Traditionally relational databases have proved ineffective in handling and processing the large and complex data generated by organizations across the globe. Setting up a cluster, importing data from relational database using Sqoop, ETL/data cleaning using Hive, and run SQL queries on the data.

Java 52
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Recap of Hadoop News for April 2017

ProjectPro

Despite the hype around NoSQL, SQL is still the go-to query language for relational databases and other emerging novel database technologies. According to Zion Market Research report, global demand for hadoop is estimated to reach 59 billion USD in 2012 growing at a compound annual growth rate of 51% from 2016 to 2021.According

Hadoop 52
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DBLog: A Generic Change-Data-Capture Framework

Netflix Tech

Supporting Relational Databases. There are services at Netflix that use RDBMS kind of databases such as MySQL or PostgreSQL via AWS RDS. We want to provide the ability to directly write to a destination without passing through a stream. The destination may be a datastore or an external API. All aboard the Databus!:

MySQL 88
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DBLog: A Generic Change-Data-Capture Framework

Netflix Tech

Supporting Relational Databases. There are services at Netflix that use RDBMS kind of databases such as MySQL or PostgreSQL via AWS RDS. We want to provide the ability to directly write to a destination without passing through a stream. The destination may be a datastore or an external API. All aboard the Databus!:

MySQL 82