2015 NoSQL Portfolio 
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. billion in 2010 to $17 billion in 2015 with estimates that the Big Data Analytics services market is growing 6 times faster than the entire IT sector.
ProjectPro
JUNE 17, 2015
People who know how to handle, process and analyse big data can be assured to get the heaviest paychecks in 2015.Here The top hiring technology trends for 2015 consists of boom for big data, organizations embracing cloud computing and need for IT security. from the last year.
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ProjectPro
MAY 29, 2015
percent boost in starting pay in 2015, with average salaries ranging from $119,250 to $168,250." Overview on the Big Numbers for Big Data Hadoop Jobs Salary There is tough competition in the IT market for big data jobs, thus professionals need to ensure that they bring in proper weapons (Hadoop, NoSQL, Spark) to fight the battle.
ProjectPro
MAY 19, 2015
5 Reasons to Learn Hadoop ​ Hadoop brings in better career opportunities in 2015 Learn Hadoop to pace up with the exponentially growing Big Data Market Increased Number of Hadoop Jobs Learn Hadoop to Make Big Money with Big Data Hadoop Jobs Learn Hadoop to pace up with the increased adoption of Hadoop by Big data companies Why learn Hadoop?
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. billion things will be connected to the Internet by end of 2015 which is expected to reach 25 billion by 2020.
Edureka
JANUARY 12, 2024
It consists of four main components: Angular, a JavaScript front-end framework; Express.js, a web application framework for Node.js; MongoDB, a NoSQL database; and Node.js, a server-side runtime. The Temporal Dead Zone (TDZ) in ES6 (ECMAScript 2015) refers to a behavior associated with variables declared using let and const.
ProjectPro
JUNE 30, 2016
This demand and supply gap has widened the big data and hadoop job market, creating a surging demand for big data skills like Hadoop, Spark, NoSQL, Data Mining, Machine Learning, etc. Knowledge of Hadoop, Spark, Scala, Python, R NoSQL and traditional RDBMS’s along with strong foundation in math and statistics.
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