Knowledge Hut

JANUARY 30, 2024

In summary, data extraction is a fundamental step in data-driven decision-making and analytics, enabling the exploration and utilization of valuable insights within an organization's data ecosystem. What is the purpose of extracting data? The process of discovering patterns, trends, and insights within large datasets.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Big resources still manage file data hierarchically using Hadoop's open-source ecosystem.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

JANUARY 19, 2024

With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. That's the promise of a career in data science. Implementing machine learning magic.

Data Science 52

Data Science Machine Learning Datasets Algorithm 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

U-Next

AUGUST 11, 2022

Deep Learning is an AI Function that involves imitating the human brain in processing data and creating patterns for decision-making. It’s a subset of ML which is capable of learning from unstructured data. Also, experience is required in software development, data processes, and cloud platforms. .

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

APRIL 20, 2023

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. So put on your cyber shades and get ready to dive into the exciting world of Cyber security vs Data science. Want to become a data science wizard?

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

OCTOBER 18, 2021

Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JULY 13, 2015

Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data. JP Morgan has massive amounts of data on what its customers spend and earn. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

JUNE 9, 2021

It entails generating data visualizations and charts for analysis. Data Engineering assists the Data Science team by implementing feature transformations with the help of big data technologies on datasets to train predictive models. It doesn't entail creating data visualizations.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Edureka

AUGUST 2, 2023

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used. What does a Data Processing Analysts do ?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

ProjectPro

DECEMBER 22, 2016

Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis. 5) What is data cleansing?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 24, 2021

Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc. They are also often expected to prepare their dataset by web scraping with the help of various APIs. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

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? What are Data Scientist roles?

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

AUGUST 11, 2021

Data Lake vs Data Warehouse - The Differences Before we closely analyse some of the key differences between a data lake and a data warehouse, it is important to have an in depth understanding of what a data warehouse and data lake is. Data Lake vs Data Warehouse - The Introduction What is a Data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JUNE 24, 2021

Some amount of experience working on Python projects can be very helpful to build up data analytics skills. 1) Market Basket Analysis Market Basket Analysis is essentially a data mining technique to better understand customers and correspondingly increase sales.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

FEBRUARY 7, 2023

A data science platform is software that includes a variety of technologies for machine learning, data science, and other advanced analytics projects. Typically, data science projects involve using an abundance of ls (eg. Centralize data resources Data Science Platforms have a unified location for all work.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

MARCH 16, 2015

McKinsey projects that the use of Big Data in healthcare can reduce the healthcare data management expenses by $300 billion -$500 billion. Big Data in healthcare originates from the large electronic health datasets – these datasets are very difficult to manage with the conventional hardware and software.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

MARCH 15, 2016

That way every server, stores a fragment of the entire data set and all such fragments are replicated on more than one server to achieve fault tolerance. Hadoop MapReduce MapReduce is a distributed data processing framework. Apache Hadoop provides solution to the problem caused by large volume of complex data.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Kicking off a big data analytics project is always the most challenging part.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. 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.

Hadoop 40

Hadoop Big Data Data Mining Retail 40