2018 Data Solutions Hadoop 
ProjectPro
FEBRUARY 1, 2018
News on Hadoop - Janaury 2018 Apache Hadoop 3.0 goes GA, adds hooks for cloud and GPUs.TechTarget.com, January 3, 2018. The latest update to the 11 year old big data framework Hadoop 3.0 The latest update to the 11 year old big data framework Hadoop 3.0 Globalnewswire.com, January 5, 2018.
Data Engineering Podcast
FEBRUARY 19, 2023
TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. Email hosts@dataengineeringpodcast.com ) with your story.
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ProjectPro
JUNE 30, 2016
This blog post gives an overview on the big data analytics job market growth in India which will help the readers understand the current trends in big data and hadoop jobs and the big salaries companies are willing to shell out to hire expert Hadoop developers. It’s raining jobs for Hadoop skills in India.
ProjectPro
SEPTEMBER 11, 2015
Hadoop has now been around for quite some time. But this question has always been present as to whether it is beneficial to learn Hadoop, the career prospects in this field and what are the pre-requisites to learn Hadoop? By 2018, the Big Data market will be about $46.34 Big Data is not going to go away.
ProjectPro
NOVEMBER 10, 2016
Let’s help you out with some detailed analysis on the career path taken by hadoop developers so you can easily decide on the career path you should follow to become a Hadoop developer. What do recruiters look for when hiring Hadoop developers? Do certifications from popular Hadoop distribution providers provide an edge?
Knowledge Hut
JULY 5, 2024
Hadoop and Spark: The cavalry arrived in the form of Hadoop and Spark, revolutionizing how we process and analyze large datasets. Cloud Era: Cloud platforms like AWS and Azure took center stage, making sophisticated data solutions accessible to all.
Knowledge Hut
JUNE 30, 2023
The essential theories, procedures, and equipment for creating trustworthy and effective data systems are covered in this book. It explores subjects including data modeling, data pipelines, data integration, and data quality, offering helpful advice on organizing and implementing reliable data solutions.
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