ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. The matured usage of NoSQL in big data analysis will drive the NoSQL market as it gains momentum. billionby 2020, recording a CAGR of 35.1% during 2014 - 2020.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

AltexSoft

JULY 29, 2022

On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. MongoDB: an NoSQL database with additional features. It was Google that developed MapReduce in 2003 for a range of data analytics tasks and later open-sourced it.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

U-Next

AUGUST 23, 2022

Lawrence journal world designed and developed Django in 2003, and it was officially available under the BSD licence in July 2005. Django also supports MySQL, Oracle, PostgreSQL, MongoDB and NoSQL. What Is Django? DSF (Django Software Foundation) is maintaining its development and release cycle. The initial release was in July 2005.

MySQL 40

MySQL Python PostgreSQL Coding 40

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. Zettabytes of data was generated from the dawn of civilization to the year 2003.In zettabytes. Zettabytes of information.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

MARCH 23, 2016

In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003. Facebook Messaging apps runs on top of Hadoop’s NoSQL database- HBase Facebook uses Hive Hadoop for faster querying on various graph tools.

Hadoop 40

Hadoop IT Big Data Retail 40