Knowledge Hut

DECEMBER 27, 2023

A business analyst can be employed in a wide range of industries, including healthcare, education, finance, retail, and hospitality. Roles & Responsibilities Data analysis: Analyzing data to gain insights and make recommendations. Data preparation: Preparing data so that it can be used by other analysts and decision-makers.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

Knowledge Hut

JANUARY 29, 2024

On the other hand, data science is a technique that collects data from various resources for data preparation and modeling for extensive analysis. Cloud Computing provides storage, scalable compute, and network bandwidth to handle substantial data applications.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

Knowledge Hut

DECEMBER 26, 2023

Learn the actual strategies and processes being used to learn about customers, improve manufacturing, foster innovation, increase safety, and much more—from technology, media, and retail to sports teams, governmental organizations, and financial institutions.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

JANUARY 15, 2021

Look no further…Whether it’s Retail , Healthcare, Banking & Finance , Crime, or, really any other kind of machine learning dataset, we’ve curated a list of top machine learning datasets on everything to help you make your models successful. Why you need machine learning datasets?

Datasets 40

Datasets Machine Learning Retail Banking 40

Knowledge Hut

MAY 2, 2024

The steps are explained in simple words below: Gathering the data includes data collection from varied, rich and dense content of various formats and types. In real time, this includes feeding the data from different sources such as text files, word documents or excel sheets.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

Rockset

MARCH 19, 2019

This is where Pittsburgh resident, Doug Balog, a data engineer for a large retailer by day and civic hacker by night, comes into the picture. Using Rockset’s cloud service, he has been able to get a reliable SQL API into all his data, while avoiding the challenges associated with setting up and managing a database.

Raw Data 40

Raw Data SQL Manufacturing Retail 40

Knowledge Hut

DECEMBER 26, 2023

With the help of the company's "augmented analytics," you can ask natural-language inquiries and receive informative responses while also applying thoughtful data preparation. Some of the best features of oracle analytics cloud are augmented analytics, data discovery, and natural language processing.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

ProjectPro

AUGUST 24, 2021

Log Analytics Project COVID-19 Data Analysis Movielens Data Analysis for Recommendations Retail Analytics Project Example Let us now discuss them in detail. This is a straightforward data engineering pipeline architecture, but it allows exploring data engineering concepts and confidence to work on a cloud platform.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

SEPTEMBER 26, 2021

Get More Practice, More Big Data and Analytics Projects , and More guidance.Fast-Track Your Career Transition with ProjectPro How to Become a Big Data Engineer? Big Data technologies are now being used in multiple industries and business sectors. IT, Retail, Sales & Marketing, Healthcare, Manufacturing, Education, etc.,

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 30, 2024

Extraction: This initial step involves retrieving data from one or multiple sources or systems. During extraction, the process identifies and isolates the relevant data, preparing it for subsequent processing or transformation. The ETL process encompasses three fundamental stages: 1.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

ProjectPro

AUGUST 9, 2021

Recommending similar products based on product images is used in online retail sites like Amazon, Flipkart, etc. Libraries - Sci-kit, TensorFlow, Keras, glove, flask, NLTK, pandas, NumPy 18) Retail Price Optimization based on Price Elasticity of Demand. LightGBM uses a tree-based algorithm for the gradient boost framework.

Data Science 52

Data Science Python Project Datasets 52

ProjectPro

JANUARY 31, 2023

Big Data Architect Interview Questions and Answers Following are the interview questions for big data architects that will help you ace your next job interview. Explain the data preparation process. Data preparation is one of the essential steps in a big data project. Steps for Data preparation.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JUNE 2, 2015

It is estimated that a data analyst spends close to 80% of the time in cleaning and preparing the big data for analysis whilst only 20% is actually spent on analysis work. Thus, organizations must make use of effective ETL tools to ease the process of data preparation that requires a less complex IT infrastructure.

Big Data 40

Big Data Hadoop Banking Retail 40

ProjectPro

JANUARY 19, 2022

The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization. Companies in various sectors are improving their big data and analytics operations, from healthcare to retail. In every case, data engineering is expected to be one of the most in-demand professions in 2022 and beyond.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

DECEMBER 22, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

MAY 20, 2015

It provides the first purpose-built Adaptive Data Preparation Solution(launched in 2013) for data scientist, IT teams, data curators, developers, and business analysts -to integrate, cleanse and enrich raw data into meaningful analytic ready big data that can power operational, predictive , ad-hoc and packaged analytics. .”

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

DECEMBER 10, 2021

Your company acquires customer purchase data from a variety of retail outlets, and you're working on a system that will analyze the data and forecast future customer purchases for each retailer. Wrangling data flow- This is a Power Query Online-integrated data preparation process that doesn't require any coding.

BI 52

BI Cloud Computing SQL Database 52