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

A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. 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.

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 operates as a controller, checking the URL for accessible resources. Django also supports MySQL, Oracle, PostgreSQL, MongoDB and NoSQL. What Is Django? The initial release was in July 2005.

MySQL 40

MySQL Python PostgreSQL Coding 40

ProjectPro

AUGUST 26, 2015

Here’s a look at important milestones, tracking the evolutionary progress on how data has been collected, stored, managed and analysed- 1926 – Nikola Tesla predicted that humans will be able to access and analyse huge amounts of data in the future by using a pocket friendly device. 1937 - Franklin D. zettabytes.

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. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Why use Hadoop?

Hadoop 40

Hadoop IT Big Data Retail 40