ProjectPro

MARCH 15, 2016

One of the primary use cases for Hadoop, was in risk modelling, to solve the question for banks to evaluate customers and markets better than legacy systems. These days we notice that many banks compile separate data warehouses into a single repository backed by Hadoop for quick and easy analysis.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ThoughtSpot

SEPTEMBER 26, 2024

We are fortunate to have an enviable customer base that’s growing rapidly; among our 1000+ customers, we count three of the Fortune 5 , six of the top ten healthcare and life sciences companies, six of the top ten technology companies, and three of the top five banks as our customers.

Electronics 59

Electronics Unstructured Data Recruitment Portfolio 59

Knowledge Hut

DECEMBER 27, 2023

It enhances the students' abilities in Administration, Banking, Finance, Marketing , or Sales. The MBA course allows you to upskill your leadership roles in various sectors, including Banking, Finances, Sales, and many more. PG Diploma in Banking A PG Diploma in Banking can prepare students for a wide range of banking careers.

Banking 52

Banking Recruitment Finance Portfolio 52

ProjectPro

AUGUST 6, 2015

Organizations in every industry are increasingly turning to Hadoop, NoSQL databases and other big data tools to attain customer delight which in turn will reap financial rewards for the business by outperforming the competition.81% 81% of the organizations say that Big Data is a top 5 IT priority.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC? What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

ProjectPro

APRIL 1, 2016

eWeek.com Syncsort has made it easy for mainframe data to work in Hadoop and Spark by upgrading its DMX-h data integration software. Syncsort has delivered this because some of the companies in industries like financial services, banking, and insurance needed to maintain their mainframe data in native format.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

ProjectPro

JUNE 9, 2015

The prospective growth for big data in India is because of-increasing number of companies trying to get meaningful insights out from the massive data growth in their businesses.

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

OCTOBER 28, 2015

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Knowledge Hut

APRIL 23, 2024

Retailers may improve inventory management, logistics, savings, and supply chain efficiency by analyzing data from suppliers, distribution centers, transportation routes, and client demand. For example, social networks like Twitter perform sentiment analysis around the clock to identify the intent behind what people tweet.

Big Data 52

Big Data Recruitment Retail Transportation 52

ProjectPro

MAY 8, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: wired.com The rate at which we are generating data is frightening - leading to “ Datafication ” of the world.

Big Data 40

Big Data Retail Banking Healthcare 40

ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. It was modeled after Amazon’s DynamoDb.

NoSQL 52

NoSQL Database Hadoop Big Data 52

ProjectPro

JUNE 2, 2015

It is difficult to make sense out of billions of unstructured data points (in the form of news articles, forum comments, and social media data) without powerful technologies like Hadoop, Spark and NoSQL in place. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects PREVIOUS NEXT <

Big Data 40

Big Data Hadoop Banking Data Analytics 40

Knowledge Hut

MAY 31, 2023

Whether you are a beginner or an experienced programmer, these top database projects with source codes can help you improve your skills and add value to your portfolio. Maintaining accurate records of train movements, routes, timetables, and passenger data is essential for ensuring safe and efficient operations. So, Let's get started!

Database 52

Database Coding MongoDB Project 52

ProjectPro

SEPTEMBER 11, 2015

For professionals from BI background, learning Hadoop is necessary because with data explosion it is becoming difficult for traditional databases to store unstructured data. Hadoop still has a long way to go when it comes to presenting clean and readable data solutions.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

MARCH 23, 2016

Hadoop has become the go-to big data technology because of its power for processing large amounts of semi-structured and unstructured data. Hadoop is not popular for its processing speed in dealing with small data sets. Check Out Apache Hive Real Time Projects to Build Your Portfolio How to use Hadoop?

Hadoop 40

Hadoop IT Big Data Portfolio 40

ProjectPro

APRIL 27, 2015

Big Data startups are banking upon analytics to disrupt the market in the foresight based approach. Big data startups are leveraging recommendation systems by making sense of big data-predicting user intentions and rendering services and products people are looking for before they even know that they need them.

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

Knowledge Hut

MARCH 26, 2024

Responsibilities: Define data architecture strategies and roadmaps to support business objectives and data initiatives. Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

MARCH 14, 2014

In 2015, big data has evolved beyond the hype. 87% of companies using big data believe that within next 3 years big data analytics will redefine the competitive landscape of various industries. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! How big data helps businesses?

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

AUGUST 16, 2021

Machine Learning Trends in Recent Years Deep Learning Trends in Recent Years With the global machine learning job market projected to be worth $31 billion by the end of 2024 and fierce competition in the industry, a machine learning project portfolio is a must-have. Being lightweight, it is suitable in the big production setting of a bank.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

AUGUST 11, 2016

It is said to be one of the most versatile data visualization packages. In the finance and banking sectors , R is used for fraud detection. It is also used to help in reducing customer churn rates based on customer data analysis. Future business decisions can be made using the results of data analysis performed using R.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. using big data analytics to boost their revenue.

Hadoop 40

Hadoop Big Data Metadata Java 40

U-Next

OCTOBER 26, 2022

It encompasses capital markets, money, investments, banking, leverage or debt, credit, and the development and regulation of financial institutions. AI assesses unstructured data about potentially dangerous actions or activities in an organization’s operations. Personalized Banking . Portfolio Development .

Finance 40

Finance Portfolio Banking Algorithm 40

Knowledge Hut

JANUARY 11, 2024

Data Science can be described as a domain that applies advanced analytics, statistics and scientific principle for extracting valuable information and deriving valuable conclusions from structured or unstructured data. Terms like Machine Learning and Artificial Intelligence are often used in data science.

Finance 93

Finance Data Science Programming Language Machine Learning 93

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

MARCH 21, 2016

Need to Offload Data from Mainframes to Hadoop Mainframe legacy systems account for 60% of the global enterprise transactions happening today.70% 70% of the Fortune 500 companies including top 25 retailers in USA, 9 top insurers and top 25 banks still depend on Mainframes for processing more than 30 billion transactions every day.

Hadoop 40

Hadoop Big Data Insurance Retail 40