Banking Portfolio Structured Data Unstructured Data 
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. JP Morgan has massive amounts of data on what its customers spend and earn.
ProjectPro
AUGUST 6, 2015
Companies like Electronic Arts, Riot Games are using big data for keeping a track of game play which helps predict performance of the play by analysing 4TB of operational logs and 500GB of structured data. Sports brands like ESPN have also got on to the big data bandwagon.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
ProjectPro
SEPTEMBER 11, 2015
Learning Hadoop will ensure that you can build a secure career in Big Data. Big Data is not going to go away. There will always be a place for RDBMS, ETL, EDW and BI for structured data. But at the pace and nature at which big data is growing, technologies like Hadoop will be very necessary to tackle this data.
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.
ProjectPro
OCTOBER 28, 2015
Hadoop Sqoop and Hadoop Flume are the two tools in Hadoop which is used to gather data from different sources and load them into HDFS. Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., The complexity of the big data system increases with each data source.
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.
Knowledge Hut
JANUARY 11, 2024
It uses complex machine learning algorithms to build meaningful and structured data. 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.
Expert insights. Personalized for you.
52 
Let's personalize your content