Knowledge Hut
JUNE 26, 2023
When screening resumes, most hiring managers prioritize candidates who have actual experience working on data engineering projects. Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Source Code: Yelp Review Analysis 2.
Knowledge Hut
DECEMBER 21, 2023
HIVE Hive is an open-source data warehousing Hadoop tool that helps manage huge dataset files. The technology alters the traditional method of framing MapReduce programs using Java code by converting the HQL into MapReduce jobs and reducing the function. There are built-in functions used for data mining and other related works.
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Knowledge Hut
NOVEMBER 19, 2023
AI as a Career Choice The development of Artificial Intelligence (AI) offers a promising career option for those interested in understanding how technology can assist with data and problem resolution. Algorithms, data preparation and model evaluations. Job Titles That Follow: Research Scientist, Lead Personnel.
ProjectPro
JUNE 9, 2015
As the Indian Big Data Hadoop industry anticipated to grow by five-fold in the next few years, 2015 will sense an increased temptation of excellent job prospects for professionals with big data skills in the analytics sector. The talent pool for Hadoop skills is frugally low when compared to the increasing demand.
ProjectPro
JUNE 1, 2017
(Source : [link] ) Committers Talk Hadoop 3 at Apache Big Data.Datanami.com, May 18, 2017 The release of Apache Hadoop 3 this year will change the way how customers store and process data on clusters.At Source - [link] ) The siren song of Hadoop.ComputerWorld.com, May 23, 2017.
ProjectPro
JULY 6, 2015
You have your basic concepts about data structures, algorithms, discrete Math and Statistics clear. But still your resume is not getting selected for the open big data jobs. This is the reality that hits many aspiring Data Scientists/Hadoop developers/Hadoop admins - and we know how to help.
ProjectPro
JUNE 17, 2016
An “all-star” LinkedIn profile is likely to rank higher in LinkedIn internal search algorithm which means that you are more likely to be discovered by big data recruiters. Headline, Summary, Job Titles are the most important spots for keyword optimization in your LinkedIn profile. It will look similar to this.
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