ProjectPro

JUNE 29, 2016

“I already have a job, so I don’t need to learn a new programming language.” As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Knowledge Hut

FEBRUARY 27, 2023

It is one of the key job roles that require various technical skills, supreme communication and soft skills, and deep knowledge of multiple programming languages. This data analytics Bootcamp enhances your portfolio and provides comprehensive training and career support.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

ProjectPro

JULY 15, 2021

In terms of programming languages and frameworks, cloud computing has several applications. One can develop java cloud computing projects, Android cloud computing projects, cloud computing projects in PHP, or any other popular programming language.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

FEBRUARY 24, 2016

However, some industries like Retail and Consumer goods, Banking and Finance, IT services, Travel, Transportation, Real-estate, and Manufacturing are experiencing higher demand and offer increasingly competitive salaries for skilled data scientists. Python programming language helps data scientists get data into a form to be analyzed.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business. Table of Contents Why use R on Hadoop?

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

OCTOBER 27, 2021

The banking and finance industry generates enormous amounts of data related to transactions, billing, and payments from customers, which can provide accurate insights and predictions to be fed to machine learning models. Brokerage and banking firms heavily rely on the stock market to generate revenue and facilitate risk management.

Finance 52

Finance Machine Learning Project Banking 52

ProjectPro

JANUARY 31, 2023

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. Data Variety Hadoop stores structured, semi-structured and unstructured data. Hardware Hadoop uses commodity hardware.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

NOVEMBER 30, 2021

You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in R programming language. For understanding banks’ business model, it is crucial to learn the whole process of approving a loan application.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40