ProjectPro

JUNE 6, 2025

1) Build an Uber Data Analytics Dashboard This data engineering project idea revolves around analyzing Uber ride data to visualize trends and generate actionable insights. Reddit, being a vast community-driven platform, provides a rich data source for extracting valuable insights.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Data Science Roles - Top 4 Reasons to Choose Choosing data science as a career serves several benefits: Growth: According to the IBM report, there were about 2.7 million available positions in data analysis, data science, and related fields. 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

However, the vast volume of data will overwhelm you if you start looking at historical trends. The time-consuming method of data collection and transformation can be eliminated using ETL. You can analyze and optimize your investment strategy using high-quality structured data.

BI 45

BI ETL Tools Retail Healthcare 45

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

ProjectPro

JUNE 6, 2025

Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks. Handle and source data from different sources according to business requirements. And one of the most popular tools, which is more popular than Python or R , is SQL. are prevalent in the industry.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

A data architect role involves working with dataflow management and data storage strategies to create a sustainable database management system for an organization. Types of Data Architect Careers Data architects can apply their skills in several ways and in various job roles.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

ProjectPro

JUNE 6, 2025

Million opportunities for remote and on-site data engineering roles. So, have you been wondering what happens to all the data collected from different sources, logs on your machine, data generated from your mobile, data in databases, customer data, and so on? Data Engineering Roles - Who Handles What?

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

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

ProjectPro

JUNE 6, 2025

The increasing demand for certifications in big data is a direct result of the popularity of AWS services among big data experts and the growing requirement for skilled professionals capable of leveraging big data technology. In this blog, we will dive deep into the details of AWS Big Data Certification.

Big Data 40

Big Data AWS Certification Hadoop 40

ProjectPro

JUNE 6, 2025

Once the data is processed, you will use AWS Kinesis to store the analyzed data in an appropriate data store like Amazon S3, Redshift , or DynamoDB. Using sample datasets like the Sentiment140 or IMDB movie review datasets, you will evaluate the sentiment analysis system's accuracy.

AWS 61

AWS Project Medical Deep Learning 61

ProjectPro

JUNE 6, 2025

Gain expertise in big data tools and frameworks with exciting big data projects for students. Predictive Modelling Process Once a set of current and historical data is ready for predictive analysis, the predictive modeling process can begin. EDA is the final step in your data preparation phase.

Data Mining 45

Data Mining Banking Retail Healthcare 45

ProjectPro

JUNE 6, 2025

The data engineer skill of building data warehousing solutions expects a data engineer to curate data and perform data analysis on that data from multiple sources to support the decision-making process. In such instances, raw data is available in the form of JSON documents, key-value pairs, etc.,

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

Introduction to Big Data Big data combines structured, semi-structured, and unstructured data collected by organizations to glean valuable insights and information using machine learning, predictive modeling , and other advanced analytical applications. specialist to learn big data.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

From working with raw data in various formats to the complex processes of transforming and loading data into a central repository and conducting in-depth data analysis using SQL and advanced techniques, you will explore a wide range of real-world databases and tools. Oh wait, there’s more!

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

ProjectPro

JUNE 6, 2025

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. The end of a data block points to the location of the next chunk of data blocks.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

We also have a few tips and guidelines for beginner-level and senior data engineers on how they can build an impressive resume. 180 zettabytes- the amount of data we will likely generate by 2025! This is what data engineering does. Data engineering entails creating and developing data collection, storage, and analysis systems.

Data Engineering 40

Data Engineering Data Engineer Recruitment Building 40

ProjectPro

JUNE 6, 2025

Non-Volatile: The data warehouse is also non-volatile, which implies that prior data cannot be erased. It also helps with historical data analysis and knowledge of what and when events occurred. What are the stages in Data warehousing? What are the five basic stages of the data warehousing process?

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. To make accurate conclusions based on the analysis of the data, you need to understand what that data represents in the first place.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

AltexSoft

FEBRUARY 11, 2023

The former uses data to generate insights and help businesses make better decisions, while the latter designs data frameworks, flows, standards, and policies that facilitate effective data analysis. But first, all candidates must be accredited by Arcitura as Big Data professionals.

Data Architect 87

Data Architect Certification Generalist Metadata 87

ProjectPro

JUNE 6, 2025

Furthermore, you will find a few sections on data engineer interview questions commonly asked in various companies leveraging the power of big data and data engineering. Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

FEBRUARY 6, 2023

Data modeling skills enable you to create accurate models and communicate using visualizations. Data Analysis Data analytics engineers must be familiar with the principles and formulas of data analysis. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

Data Analytics 52

Data Analytics Engineering IT Computer Science 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

APRIL 23, 2024

As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data. These contrasting approaches to data analysis are shaping the way organizations extract insights, make predictions, and gain a competitive edge.

Big Data 52

Big Data Media Data Analysis Datasets 52

ProjectPro

SEPTEMBER 26, 2021

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 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 24, 2021

So, add a few beginner-level data analytics projects to your resume to highlight your Exploratory Data Analysis skills. Data Sourcing: Building pipelines to source data from different company data warehouses is fundamental to the responsibilities of a data engineer.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

SEPTEMBER 25, 2023

With the ever-growing importance of data, individuals with expertise in data analysis are in high demand, and a plethora of exciting job opportunities await them. Data analysis courses can also support your argument for a wage increase or promotion by demonstrating that you can add more value as a data analyst.

Certification 52

Certification Business Analyst Big Data Data Analytics 52

ProjectPro

JANUARY 27, 2023

However, the vast volume of data will overwhelm you if you start looking at historical trends. The time-consuming method of data collection and transformation can be eliminated using ETL. You can analyze and optimize your investment strategy using high-quality structured data.

BI 52

BI ETL Tools Retail Healthcare 52

Knowledge Hut

JUNE 20, 2023

Additionally, they create and test the systems necessary to gather and process data for predictive modelling. Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. The end of a data block points to the location of the next chunk of data blocks.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JUNE 6, 2025

IBM has a nice, simple explanation for the four critical features of big data: a) Volume –Scale of data b) Velocity –Analysis of streaming data c) Variety – Different forms of data d) Veracity –Uncertainty of data Here is an explanatory video on the four V’s of Big Data 3.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

AUGUST 21, 2015

IBM has a nice, simple explanation for the four critical features of big data: a) Volume –Scale of data b) Velocity –Analysis of streaming data c) Variety – Different forms of data d) Veracity –Uncertainty of data Here is an explanatory video on the four V’s of Big Data 3.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 6, 2025

Ace your big data analytics interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data analytics projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 40

Big Data Coding Project Hadoop 40

ProjectPro

JUNE 6, 2025

Starting with setting up an Azure Virtual Machine, you'll install necessary big data tools and configure Flume agents for log data ingestion. Utilizing Spark for data processing and Hive for querying, you'll develop a comprehensive understanding of real-time log analysis in a cloud environment.​

Project 64

Project Transportation Data Ingestion Data Pipeline 64