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

So, how can data analysis tools help us? It will introduce you to the basics of time series and shine a light on various tools used for Exploratory Data Analysis. You will learn how to preprocess the data and plot various graphs using libraries in Python.

Deep Learning 66

Deep Learning Machine Learning Python Datasets 66

ProjectPro

JUNE 6, 2025

Completing a data analytics project is time consuming and not so easy. The success of any data analysis project majorly depends on how effective your data analytics project plan is and how well you can implement it. Your data can be in any format, such as flat files, HTML, XML, JSON, APIs, etc.

Data Analytics 40

Data Analytics Project BI Big Data Tools 40

ProjectPro

JUNE 6, 2025

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.

Data Analytics 40

Data Analytics Engineering IT Computer Science 40

ProjectPro

JUNE 6, 2025

This blog will provide you with valuable insights, exam preparation tips, and a step-by-step roadmap to ace the AWS Data Analyst Certification exam. So if you are ready to master the world of data analysis with AWS, then keep reading. Organizations are currently dealing with petabyte-scale data that hold valuable insights.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

Security and Data Privacy Big Data Developers work closely with data protection officers to implement robust security measures, encryption, and access controls to safeguard data. Analysis of Vast Data Stores Big Data Developers use data mining and analysis tools to analyze vast and diverse data stores.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

BigQuery GIS facilitates geographic data analysis with support for most mapping and charting formats. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. With it's seamless connections to AWS and Azure , BigQuery Omni offers multi-cloud analytics.

Data Warehouse 40

Data Warehouse Cloud Google Cloud Big Data 40

ProjectPro

JUNE 6, 2025

Big Data Analytics with Spark by Mohammed Guller This book is an ideal fit if you're looking for fundamental analytics and machine learning with Spark. The book also covers additional big data tools such as Hive, HBase, and Hadoop for a better understanding.

Big Data 40

Big Data Scala Machine Learning Manufacturing 40

Knowledge Hut

APRIL 25, 2024

This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies.

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

You shall know database creation, data manipulation, and similar operations on the data sets. Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

And one of the most popular tools, which is more popular than Python or R , is SQL. And for handling such large datasets, the Hadoop ecosystem and related tools like Spark, PySpark , Hive, etc., So, as a data engineer who is required to interact with large datasets, having experience with such Big Data tools is a must.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

ETL fully automates the data extraction and can collect data from various sources to assess potential opponents and competitors. The ETL approach can minimize your effort while maximizing the value of the data gathered. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

BI 45

BI ETL Tools Retail Healthcare 45

Edureka

MAY 8, 2025

Check out Edureka’s Data Engineering course if you want to learn more about this important area and how to work in it. It was made by experts in the field and gives you practical experience with data pipelines, big data tools, cloud platforms, and real-life projects.

Data Engineering 52

Data Engineering Data Engineer Engineering Telecommunication 52

ProjectPro

JUNE 6, 2025

For instance, Bluetooth-based data beacons placed throughout the building or augmented reality (AR). Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Airports are exploring other technologies due to GPS's extreme inaccuracy for indoor navigation.

Big Data 40

Big Data Data Analytics Manufacturing Hadoop 40

ProjectPro

JUNE 6, 2025

Here are some of interesting applications on how CitiBank uses Big Data- 1.Customer Customer Retention Big Data Use Case at Citi Bank Customer retention and acquisition is one aspect of Citi's operations wherein Big Data analytics have been applied successfully.

Big Data 40

Big Data Banking Data Lake Big Data Tools 40

ProjectPro

JUNE 6, 2025

When to Use AWS Lambda AWS Lambda provides some awesome integration capabilities with other AWS services making it a good fit for sending real-time notifications using SNS, video processing using AWS S3, and for data analysis using DynamoDB. A good choice for automation DB backups, image compression and file processing tasks.

AWS 40

AWS Big Data Big Data Tools Designing 40

ProjectPro

JUNE 6, 2025

Getting Started with Azure Databricks Let’s walk through the steps to get started with Azure Databricks to understand how to use it for performing data analysis tasks and building ML models: Step 1: Setting up Azure Databricks Workspace To begin using Azure Databricks, you need to set up a workspace. How to Use Azure Databricks?

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Data Flow in ADF Example Imagine you are working for a retail company that wants to analyze customer and sales data across various platforms for better business decision-making to improve sales. The next step would be to transform it and load it into a data warehouse for further analysis.

Retail 40

Retail Big Data Data Pipeline Data Warehouse 40

ProjectPro

JUNE 6, 2025

Data Architect Job Description Identify data sources, and develop a data management strategy that aligns with the organization's processes. Examine pre-existing data management techniques, tools, and methods. Create new data models for better data analysis.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

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

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? We can do a lot of data analysis and produce visualizations to deliver value from these data sources.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

The Kinesis data firehouse, which includes all advanced analytics for collecting, loading, and transforming data streams into relevant data streams, is stored in an AWS data warehouse near all analytics. Gain expertise in big data tools and frameworks with exciting big data projects for students.

ETL Tools 40

ETL Tools AWS Data Engineering Data Engineer 40

ProjectPro

JUNE 6, 2025

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 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects How To Build A Batch Data Pipeline- Batch Data Pipeline Example Building a batch data pipeline involves several steps, such as data ingestion, processing, storage, etc.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

It’s ability to handle large volumes of data and provide real-time insights makes it a goldmine for organization looking to leverage data analytics for competitive advantage. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

Project 40

Project Data Mining Big Data Big Data Tools 40

ProjectPro

JUNE 6, 2025

You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in R programming language. A senior business analyst is often expected to possess knowledge of Big Data tools.

Business Analyst 75

Business Analyst Project Retail Banking 75

ProjectPro

JUNE 6, 2025

This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Several industries across the globe are using Big Data tools and technology in their processes and operations. So, let's get started!

Big Data 40

Big Data Data Engineering Data Engineer Engineering 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

Ready to take your big data analysis to the next level? Check out this comprehensive tutorial on Business Intelligence on Hadoop and unlock the full potential of your data! million terabytes of data are generated daily. According to the latest reports, 328.77

BI 40

BI Hadoop Big Data Business Intelligence 40

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

Source- Streaming Data Pipeline using Spark, HBase, and Phoenix Project Real-time Data Ingestion Example Using Flume And Spark You should also check out this real-time Twitter data analysis project using Flume and Kafka. This approach is ideal for applications that require low latency and continuous data analysis.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

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

According to Reports, the real-world adoption of Apache Hive as a Data Warehousing tool has surged, with over 4412 companies worldwide, with 58.47% in the U.S., These statistics underscore the global significance of Hive as a critical component in the arsenal of big data tools. What are the benefits of Apache Hive?

Big Data 40

Big Data Architecture Project Hadoop 40

ProjectPro

JUNE 6, 2025

However, data generated from one application may feed multiple data pipelines, and those pipelines may have several applications dependent on their outputs. In other words, Data Pipelines mold the incoming data according to the business requirements. Additionally, you will use PySpark to conduct your data analysis.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. These Apache Spark projects are mostly into link prediction, cloud hosting, data analysis, and speech analysis.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

SQL Project for Data Analysis using Oracle Database SQL vs. NoSQL-Choosing the suitable DBMS for your Project Cloud platforms ( AWS , Azure , etc.) You can list data skills on a resume according to the job description. Also, add the programming languages, big data tools , and frameworks you are efficient in.,

Data Engineering 40

Data Engineering Data Engineer Recruitment Engineering 40