ProjectPro

JUNE 6, 2025

Good knowledge of various machine learning and deep learning algorithms will be a bonus. 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.,

Data Engineer 94

Data Engineer Data Engineering Engineering Amazon Web Services 94

ProjectPro

JUNE 6, 2025

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Tensorflow: Tensorflow is an already renowned name in the machine learning community. It is used widely in deep learning models and packs many useful Machine Learning functions.

AWS 49

AWS Amazon Web Services Google Cloud Cloud Storage 49

ProjectPro

JANUARY 19, 2022

Good knowledge of various machine learning and deep learning algorithms will be a bonus. 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.,

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

MAY 23, 2024

It is much faster than other analytic workload tools like Hadoop. Apart from data analysis, it can also help in machine learning projects. It caters to various built-in Machine Learning APIs that allow machine learning engineers and data scientists to create predictive models. It also supports visualization features.

Data Science 52

Data Science MongoDB Programming Language BI 52

ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Tensorflow: Tensorflow is an already renowned name in the machine learning community. It is used widely in deep learning models and packs many useful Machine Learning functions.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

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