U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. What is a Data Scientist? The people who have inquiries about data are known as Data Scientists.

Retail 52

Retail Data Science Computer Science Entertainment 52

Knowledge Hut

DECEMBER 27, 2023

Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways. Accessing and storing huge data volumes for analytics was going on for a long time. What is Big Data? Types of Big Data 1. Then computers started doing the same.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

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.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

DECEMBER 21, 2021

Data Modeling Analyzing unstructured data models is one of the key responsibilities of a machine learning career, which brings us to the next required skill- data modeling and evaluation. Having a solid knowledge of data modeling concepts is essential for every machine learning professional.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

ProjectPro

MARCH 15, 2016

These two components define Hadoop, as it gained importance in data storage and analysis, over the legacy systems, due to its distributed processing framework. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Let’s take a look at some Hadoop use cases in various industries.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

MAY 31, 2021

To create a successful data project, collect and integrate data from as many different sources as possible. Here are some options for collecting data that you can utilize: Connect to an existing database that is already public or access your private database. Access Solution to Data Warehouse Design for an E-com Site 4.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

MARCH 17, 2014

All these facts clearly speak about the Big Data trend making waves in the market. 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.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

MARCH 14, 2014

Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data. It includes the employee's data that ranges from performance histories, survey results to salaries.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

AUGUST 16, 2021

NLP projects are a treasured addition to your arsenal of machine learning skills as they help highlight your skills in really digging into unstructured data for real-time data-driven decision making. Being lightweight, it is suitable in the big production setting of a bank.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40