Big Data Skills Data Analysis Hadoop Portfolio 
Knowledge Hut
SEPTEMBER 6, 2023
Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set.
ProjectPro
APRIL 20, 2017
You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer.
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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? What are the companies hiring for Hadoop?
ProjectPro
MAY 20, 2015
Paxata has been recognized as one of the best big data and business analytics companies to work for in 2015 for its smart work environment that balances fun such as- weekly NERF gun matches, demo bake-offs , with engineering projects based on Apache Spark and Hadoop ,cloud delivery, distributed computing and other modern user interfaces.
ProjectPro
MAY 23, 2015
Big Data Analytics Solutions at Walmart Social Media Big Data Solutions Mobile Big Data Analytics Solutions Walmart’ Carts – Engaging Consumers in the Produce Department World's Biggest Private Cloud at Walmart- Data Cafe How Walmart is fighting the battle against big data skills crisis?
ProjectPro
MARCH 17, 2014
Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. Over the years, big data has been defined in various ways and there is lots of confusion surrounding the terms big data and hadoop. What is Hadoop?
ProjectPro
SEPTEMBER 26, 2021
You shall know database creation, data manipulation, and similar operations on the data sets. Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data.
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