ProjectPro
MAY 2, 2016
News on Hadoop-April 2016 Cutting says Hadoop is not at its peak but at its starting stages. April 1, 2016. Datanami.com At his keynote address in San Jose, Strata+Hadoop World 2016, Doug Cutting said that Hadoop is not at its peak and not going to phase out. April 6, 2016. April 11, 2016. April 13, 2016.
Rockset
NOVEMBER 1, 2018
Contrast with Java and C, which are statically typed. This impedance mismatch between dynamically typed languages and SQL's static typing has driven development away from SQL databases and towards NoSQL systems. It's easier to build apps on NoSQL systems, especially early on, before the data model stabilizes.
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ProjectPro
JUNE 30, 2016
June 7, 2016. Feb 23, 2016. June 22, 2016. June 22, 2016. June 16, 2016. Jan 28, 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. Gizmodo.in Times of India.
ProjectPro
NOVEMBER 10, 2016
. “Hadoop developer careers-Analysis”- 67% of Hadoop Developers are from Java programming background. “Hadoop developer careers -Inference”- Hadoop is written in Java but that does not imply people need to have in-depth knowledge of advanced Java. 5) 28% of Hadoopers possess NoSQL database skills.
ProjectPro
JUNE 29, 2016
As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. Assume that you are a Java Developer and suddenly your company hops to join the big data bandwagon and requires professionals with Java+Hadoop experience.
ProjectPro
MARCH 7, 2016
If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. Below are the top big data certifications that are worth paying attention to in 2016, if you are planning to get trained in a big data technology.
ProjectPro
APRIL 27, 2016
Things like a single integrated developer experience or a reduced number of settings or profiles will start to appear across the board in 2016." To perform simple tasks like getting the average value or the count-users had to write complex Java based MapReduce programs. It is difficult to manage n-stage jobs with Hadoop MapReduce.
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