ProjectPro

JANUARY 19, 2022

Good skills in computer programming languages like R, Python, Java, C++, etc. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Thus, having worked on projects that use tools like Apache Spark, Apache Hadoop, Apache Hive, etc., High efficiency in advanced probability and statistics.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Google Cloud Functions support only Node.js, while AWS Lambda functions support many languages, including Java, C, python, etc. Learn the A-Z of Big Data with Hadoop with the help of industry-level end-to-end solved Hadoop projects.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

U-Next

SEPTEMBER 9, 2022

Introduction . “Hadoop” is an acronym that stands for High Availability Distributed Object Oriented Platform. That is precisely what Hadoop technology provides developers with high availability through the parallel distribution of object-oriented tasks. What is Hadoop in Big Data? . When was Hadoop invented?

Hadoop 40

Hadoop Big Data Management Unstructured Data 40

ProjectPro

JULY 23, 2021

Amazon Web Services was launched in July 2002 from the existing Amazon cloud platform with the initial purpose of managing online retail transactions. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop. Also, you shall focus on capacity optimization for allocation.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52