ProjectPro

JUNE 6, 2025

Here are some examples where a predictive analytics algorithm is used: Credit Scoring: Predictive modeling is widely used in the banking industry to assess credit risk and determine the likelihood of loan default. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop.

Project 40

Project Medical Portfolio Algorithm 40

ProjectPro

JULY 13, 2015

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

JUNE 6, 2025

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 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

MAY 29, 2015

Professionals looking for a richly rewarded career, Hadoop is the big data technology to master now. Big Data Hadoop Technology has paid increasing dividends since it burst business consciousness and wide enterprise adoption. According to statistics provided by indeed.com there are 6000+ Hadoop jobs postings in the world.

Hadoop 52

Hadoop Big Data Banking NoSQL 52

ProjectPro

JUNE 6, 2025

ETL Projects in Banking Domain Credit Card Fraud Analysis using Apache Kafka, Hadoop, and Amazon S3 This ETL project will enable you to analyze the credit card transaction dataset and detect any fraudulent transactions that might occur. Use Hive to process data for additional analysis and reporting.

Project 40

Project Kafka AWS Data Pipeline 40

Knowledge Hut

JULY 27, 2023

The interesting world of big data and its effect on wage patterns, particularly in the field of Hadoop development, will be covered in this guide. As the need for knowledgeable Hadoop engineers increases, so does the debate about salaries. You can opt for Big Data training online to learn about Hadoop and big data.

Hadoop 52

Hadoop Banking Programming Language Scala 52

ProjectPro

APRIL 1, 2016

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. PCWorld.com Hortonworks is going a step further in making Hadoop more reliable when it comes to enterprise adoption. Source: [link] ) Syncsort makes Hadoop and Spark available in native Mainframe. March 1, 2016. March 4, 2016.

Hadoop 52

Hadoop BI Big Data Tools Big Data 52

ProjectPro

JUNE 9, 2015

Big Data Hadoop skills are most sought after as there is no open source framework that can deal with petabytes of data generated by organizations the way hadoop does. 2014 was the year people realized the capability of transforming big data to valuable information and the power of Hadoop in impeding it. The talent pool is huge.”

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. All Data is not Big Data and might not require a Hadoop solution.

Hadoop 40

Hadoop Retail Banking Healthcare 40

ProjectPro

JUNE 6, 2025

Here’s how companies protect their big data and ensure that their user information does not wind up in wrong hands- Asking for the Right Information When a user signs into an online banking application or types the password into a favourite e-Commerce website, the user expects considerable security for his data.

Big Data 40

Big Data Retail Banking Pharmaceutical 40

ProjectPro

JUNE 6, 2025

Source Code: Avocado Price Prediction 5) Predicting the Fate of a Loan Application Those interested in banking projects for business analysts will indeed consider this one their favorite from this section as this project deals with loans. This project is another instance of a banking project for business analysts.

Business Analyst 75

Business Analyst Project Retail Banking 75

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? The availability of skilled big data Hadoop talent will directly impact the market.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Knowledge Hut

JUNE 3, 2024

Whether fraud detection in a bank or finding a country's happiness index, Data Science will be around for a long time. Your watch history is a rich data bank for these companies. Additionally, a data scientist understands Big Data frameworks like Pig, Spark, and Hadoop.

Programming Language 96

Programming Language Entertainment Data Science Banking 96

ProjectPro

JUNE 6, 2025

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. 49% of data science job postings mention Hadoop as a must-have skill for a data scientist.

Hadoop 40

Hadoop Data Science Computer Science Java 40

ProjectPro

MARCH 23, 2016

And so spawned from this research paper, the big data legend - Hadoop and its capabilities for processing enormous amount of data. Same is the story, of the elephant in the big data room- “Hadoop” Surprised? Yes, Doug Cutting named Hadoop framework after his son’s tiny toy elephant. Why use Hadoop?

Hadoop 40

Hadoop IT Big Data Retail 40

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. Big Deal Companies are striking with Big Data Analytics What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

JUNE 29, 2016

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. From this, it is evident that the global hadoop job market is on an exponential rise with many professionals eager to tap their learning skills on Hadoop technology.

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

JUNE 6, 2025

Source Code: Web Server Log Processing using Hadoop in Azure Services Used: Microsoft Azure, Hadoop, Hive, Flume, Spark 16) Data Governance Data governance is the framework of policies, processes, and controls that ensure data is managed effectively throughout its lifecycle.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Building data pipelines that power personalized recommendations on streaming platforms or creating ETL workflows to help banks detect fraudulent transactions are just a few examples of how ETL Data Engineers play a pivotal role in today’s data-driven economy. Become an ETL Data Engineer with ProjectPro!

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

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

ProjectPro

MARCH 27, 2014

With big data gaining traction in IT industry, companies are looking to hire competent hadoop skilled talent than ever before. If the question is, does the certification make a difference in getting job as a Hadoop developer , Hadoop Architect or a Hadoop admin - here is the answer. billion by the end of 2017.

Hadoop 40

Hadoop Java Big Data Data Mining 40

ProjectPro

JUNE 6, 2025

Now that we have understood the fundamental aspects of data integration projects, it’s time to walk you through some of the most fascinating and innovative projects involving data integration processes you can add to your portfolio. Some examples of data integration tools that help are Apache Spark, Talend , Hadoop, etc.

Data Integration 40

Data Integration Project Data Lake PostgreSQL 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

MARCH 14, 2014

This is creating a huge job opportunity and there is an urgent requirement for the professionals to master Big Data Hadoop skills. Studies show, that by 2020, 80% of all Fortune 500 companies will have adopted Hadoop. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio!

Hadoop 40

Hadoop Big Data Data Mining Consulting 40

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

ProjectPro

JUNE 6, 2025

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Amazon Aurora Amazon Aurora is a cutting-edge relational database engine offered by Amazon Web Services (AWS) that combines the best features of traditional databases with the performance and scalability of cloud-native architectures.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. Amazon launched a promotional offer in 2011 – “Amazon pays shoppers $5 if they walk out of the store without any purchases.”

Big Data 52

Big Data Insurance Hadoop Media 52

Knowledge Hut

JANUARY 12, 2024

Especially exciting is the diverse landscape of opportunities in banking, IT, telecom, insurance, and finance, making this field not just lucrative but ever-evolving. Learning MySQL and Hadoop can be pleasant. Build your portfolio : Work with various employers and build your professional portfolio. from 2022 to 2030.

Cloud Computing 98

Cloud Computing Cloud Computer Science Education 98

Knowledge Hut

OCTOBER 5, 2023

DBS Bank INR 31.5L – 40.3L Industry / Employer / Company Considering various industries, here is the average salary that AWS Big Data Specialists can earn in a year: Banking $118,000 Financial Services $169,000 Healthcare $100000 IT Services & Consulting $47.06 Lakhs per year Pune ₹15.9 Lakhs per year Chennai ₹12.2

Big Data 52

Big Data AWS Certification Amazon Web Services 52

ProjectPro

SEPTEMBER 16, 2021

Apache Hbase was developed after the architecture of Google's NoSQL database - Bigtable - to run on HDFS in Hadoop systems. Big firms like JP Morgan Chase, Bank of America, American Express are users of Apache Hbase. It involves some effort in creating an initial setup in the absence of Hadoop/HDFS.

NoSQL 52

NoSQL Database Hadoop Big Data 52

Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. You’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist in as little as 5 months.

Big Data 52

Big Data Certification Hadoop Generalist 52

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

FEBRUARY 18, 2022

15 ETL Projects Ideas For Big Data Professionals ETL Projects for Beginners Intermediate ETL Project Ideas for Practice Advanced ETL Projects for Experienced Professionals ETL Projects in Healthcare Domain ETL Projects in Banking Domain FAQs What is ETL example? How long does an ETL migration project take? Why is ETL used in Data Science?

Project 52

Project Kafka AWS Healthcare 52

Knowledge Hut

DECEMBER 26, 2023

After earning a degree in commerce, one can pursue standard career paths like accounting, chartered accounting, company secretary, bank-PO exams, etc., After receiving their BCom, those who want to work in the fields of banking and commerce shouldn't take it easy. or choose unconventional careers. and an M.Com. Taxation BCom.

Insurance 52

Insurance Banking Finance Recruitment 52

ProjectPro

JULY 23, 2021

Blood Bank Management System 16. Orchestrate Redshift ETL using AWS Glue and Step Functions AWS Projects for Portfolio 17. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop.

AWS 52

AWS Project Amazon Web Services Cloud Computing 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 Relational Database AWS 52