Cloudera

JANUARY 20, 2021

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

ProjectPro

JUNE 6, 2025

Interested in Data Science Roles ? FAQs on Data Science Roles Data Science Roles - The Growing Demand Every industry from retail, FMCG, finance, healthcare , media and entertainment to transportation leverages data science for business growth. They also help data science professionals to execute projects on time.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

For example, a researcher agent might have advanced web scraping and data collection abilities. 8) E-commerce Optimization and Analytics Crew (Advanced) Online retailers struggle to optimize product listings, pricing strategies, and marketing efforts across thousands of SKUs and multiple channels.

Project 70

Project Building Recruitment Media 70

ProjectPro

JUNE 6, 2025

This article elaborates on how big data is changing our lives and what are the challenges businesses are confronted with for leveraging effective data analytics. 7 th May 2015, InformationWeek - Cuba turns to big data analytics for improving tourism. The customer’s data is highly valuable to a company.

Big Data 40

Big Data Retail Banking Pharmaceutical 40

Knowledge Hut

DECEMBER 21, 2023

The data collected from IoT devices can be used to improve decision-making, optimize processes, and enhance customer experiences. Smart Retail Smart retail is an emerging application of IoT technology that is changing the way we shop. If you want to know more about IoT, check out online IoT training.

Transportation 98

Transportation Coding Medical Hospitality 98

ProjectPro

JUNE 6, 2025

Skills Developed: Building data pipelines on Azure using Databricks and Data Factory Dataset analysis for recommendation engines Managing and processing data with Spark SQL Source Code: Analyse Movie Ratings Data 20) Retail Analytics Project Example For retail stores , inventory levels, supply chain movement, customer demand, sales, etc.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

DoorDash Engineering

APRIL 23, 2024

DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchants – merchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store. To ensure our catalog’s quality does not degrade, we standardize and enrich raw merchant data.

Building 91

Building Retail Manufacturing Unstructured Data 91

ProjectPro

JUNE 6, 2025

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

Cloudera

JUNE 2, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Companies have not treated the collection, distribution, and tracking of data throughout their data estate as a first-class problem requiring a first-class solution.

Systems 104

Systems Data Lake Google Cloud Data Collection 104

ProjectPro

JUNE 6, 2025

Table of Contents What is Real-Time Data Ingestion? Let us understand the key steps involved in real-time data ingestion into HDFS using Sqoop with the help of a real-world use case where a retail company collects real-time customer purchase data from point-of-sale systems and e-commerce platforms.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

Cloudera

APRIL 22, 2022

There are numerous applications for these, ranging from public transit and congestion control, to security and law enforcement, to identification of free parking spots or footfall trends for retailers and urban planners. There may be particular advantages for location-specific data collected or managed by operators.

Data Solutions 134

Data Solutions Amazon Web Services Data Storage Google Cloud 134

ProjectPro

JUNE 6, 2025

Let us consider a Retail Store Sales Prediction project example that uses Azure DevOps. In this project, the scope would be to predict a retail store's sales based on various parameters such as promotions, seasonality, and demographics. Data Collection And Preparation: In this step, you will collect and clean the required data.

Project 40

Project Machine Learning Retail BI 40

ProjectPro

JUNE 6, 2025

Software Engineer: Skills Software engineers usually have good programming and analytical skills, so they can easily switch to a data scientist job role by focusing on additional skills that a data scientist has. You will also learn about Fuzzy Regression Discontinuity Design(RDD).

Software Engineering 52

Software Engineering Software Engineer Engineering Programming Language 52

ProjectPro

JUNE 6, 2025

Optimal Production Scheduling Learn to Build Supply Chain Projects with ProjectPro FAQS 12 Hands-On Supply Chain Management Projects for Practice For anybody wanting to begin a career in supply chain data science , these supply chain projects will help apply machine learning, data science, and analytics to solve real-world supply chain challenges.

Data Science 40

Data Science Project Management Transportation 40

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. He currently works at Cloudera, managing their Data-in-Motion product line.

Data Ingestion 73

Data Ingestion Retail Kafka Manufacturing 73

Snowflake

MARCH 7, 2023

For example, utilizing data infrastructures that can scale compute resources up and down to handle fluctuating demand will inherently be more energy efficient than a data warehouse with regimented sizing. You should use the data you already have. Data collection and disclosure requirements keep shifting.

Transportation 92

Transportation Data Data Lake Banking 92

ProjectPro

JUNE 6, 2025

Moreover, Spark SQL makes it possible to combine streaming data with a wide range of static data sources. For example, Amazon Redshift can load static data to Spark and process it before sending it to downstream systems. Streaming, batch, and interactive processing pipelines can share and reuse code and business logic.

Architecture 45

Architecture Kafka Java Scala 45

Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. Third party opportunities One way for financial services firms to monetize their data is by selling it to third parties.

Banking 70

Banking Retail Portfolio Finance 70

ProjectPro

JUNE 6, 2025

You can deploy these smart chatbots for retail applications , learning portals, banking institutions, or any other business with a web presence. Industrial and business sectors, such as banking, retail, healthcare, marketing, manufacturing, etc. To develop these chatbots , you can use generative models based on neural networks.

Project 63

Project Deep Learning Banking Datasets 63

AltexSoft

APRIL 12, 2022

When using patient data for AI purposes, companies must do additional data preprocessing work such as anonymization and de-identification not to violate HIPAA rules (the Health Insurance Portability and Accountability Act that protects the privacy of health records in the US.). Here’s how data is prepared for machine learning .

Insurance 98

Insurance Recruitment Government Algorithm 98

ProjectPro

JUNE 6, 2025

Data Science in Marketing Projects Worth Exploring in 2022 Avocado Price Prediction Project BigMart Sales Prediction Project Ecommerce product reviews - Pairwise ranking and sentiment analysis Retail Price Recommendation Market Basket Analysis Is Data Science in Marketing Analytics Worth The Hype?

Data Science 40

Data Science Data Mining Retail Algorithm 40

Cloudera

SEPTEMBER 4, 2020

Using the data collected, they are also able to offer services such as vehicle diagnostics, provide roadside assistance, stolen vehicle assistance, and emergency assistance as well.

Machine Learning 93

Machine Learning Insurance Retail Government 93

ProjectPro

JUNE 6, 2025

Data professionals work in several industry segments, and their contributions apply to all industries. You can work in any sector, including finance, manufacturing, information technology, telecommunications, retail, logistics, and automotive. So now is the right time to choose Big Data as your next career option.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

AI helps analyze vast patient data to predict diseases and personalize treatment plans in healthcare. Retail uses AI to personalize customer experiences and streamline supply chains. It can also automate data analysis tasks like data wrangling , error correction, and standardization, which usually take significant time.

Data Analytics 40

Data Analytics Healthcare Machine Learning Data Analysis 40

Picnic Engineering

DECEMBER 3, 2024

As an online grocery retailer, we operate in a complex environment that requires us to adapt on an ongoing basis to changes in customer behavior, our operations, legislation etc. In order to do so adequately, we need to be able to ship changes to our apps often and with little lead time.

Business Analyst 40

Business Analyst Software Engineer Software Engineering Architecture 40

Knowledge Hut

JANUARY 18, 2024

These professionals are capable of handling feature engineering, getting the data, and model building. They also ensure the efficient application of the model for making relevant predictions using the data collected through various methods. Some key reasons to become a data scientist include the following.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

DECEMBER 27, 2023

Retail Amazon Walmart Target Best Buy Research and Development Microsoft Research Asia Energy Research Institute JAH Tech Rekiki PTE Ltd Singapore Energy Centre Asian Consumer Intelligence Information Technology Apple Inc. Retail Many retail companies in Singapore use software applications to interact with customers and offer online support.

Medical 98

Medical Amazon Web Services Programming Language Entertainment 98

Cloudera

SEPTEMBER 29, 2021

Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. . In Australia, the Government of New South Wales (NSW) is using data analytics to understand the impact of COVID-19, and also to make informed decisions driven by the data collected from across the state.

Medical 83

Medical Hospitality Government Electronics 83

ProjectPro

JUNE 6, 2025

At its core, a machine learning system leverages the power of data to refine and boost performance over time iteratively. It further preprocesses the raw data by performing tasks like handling missing values, converting time formats, and normalizing user behavior- all of which are crucial for meaningful insights.

Machine Learning 40

Machine Learning Process Entertainment Algorithm 40

ProjectPro

JUNE 6, 2025

Price Optimization using Machine Learning - A Step-by-Step Approach Here’s a step-by-step approach to understand how a data scientist can implement an end-to-end price optimization project for insurance using machine learning algorithms in Python. Besides that, the project will also help you polish your data analysis skills.

Machine Learning 40

Machine Learning Project Insurance Food 40

ProjectPro

JUNE 6, 2025

Project Solution Approach: To build this AWS DevOps project, you first must collect customer data, such as purchase history, website activity, and demographic information. Project Solution Approach: The first step of this project is collecting and aggregating usage and cost data from AWS accounts.

AWS 61

AWS Project Medical Deep Learning 61

ProjectPro

JUNE 6, 2025

It helps gain valuable insights from data to make reasonable decisions. Identifying patterns is one of the key purposes of statistical data analysis. For instance, it can be helpful in the retail industry to find patterns in unstructured and semi-structured data to help make more effective decisions to improve the customer experience.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

Knowledge Hut

JULY 26, 2023

Biases can arise from various factors such as sample selection methods, survey design flaws, or inherent biases in data collection processes. Bugs in Application: Errors or bugs in data collection, storage, and processing applications can compromise the accuracy of the data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

OCTOBER 27, 2023

AI-Powered Shopping System AI-Powered Shopping System is a useful software engineering project that can assist online retailers provide customers with personalized product suggestions and real-time price tracking. It delivers a spectrum of elements like integration with payment gateways, product reviews, and mobile compatibility.

Software Engineering 98

Software Engineering Software Engineer Coding Project 98

ProjectPro

JUNE 6, 2025

Automation can accelerate all data management and data warehousing steps, including data collection, preparation, analysis, etc. You can automate manual, time-consuming operations, which helps you save money while shortening the time to see results.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

AltexSoft

JUNE 16, 2022

The first ones involve data collection and preparation to ensure it’s of high quality and fits the task. Here, you also do data splitting to receive samples for training, validation, and testing. Then you choose an algorithm and do the model training on historic data and make your first predictions.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

Knowledge Hut

JANUARY 18, 2024

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. This data can be of any type, i.e., structured or unstructured, which also includes images, videos and social media, and more.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98