ProjectPro

JUNE 6, 2025

Project Idea: Start data engineering pipeline by sourcing publicly available or simulated Uber trip datasets, for example, the TLC Trip record dataset.Use Python and PySpark for data ingestion, cleaning, and transformation. This project will help analyze user data for actionable insights.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

And, when one uses statistical tools over these data points to estimate their values in the future, it is called time series analysis and forecasting. The statistical tools that assist in forecasting a time series are called the time series forecasting models. How do you do a time series analysis?

Deep Learning 66

Deep Learning Python Machine Learning Datasets 66

ProjectPro

JUNE 6, 2025

Did you know over 5140 businesses worldwide started using AWS Glue as a big data tool in 2023? With the rapid growth of data in the industry, businesses often deal with several challenges when handling complex processes such as data integration and analytics. This approach is ideal for a limited number of tables.

AWS 40

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ProjectPro

JUNE 6, 2025

With the global data volume projected to surge from 120 zettabytes in 2023 to 181 zettabytes by 2025, PySpark's popularity is soaring as it is an essential tool for efficient large scale data processing and analyzing vast datasets. Resilient Distributed Datasets (RDDs) are the fundamental data structure in Apache Spark.

Hadoop 68

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ProjectPro

JUNE 6, 2025

Apache Hadoop Development and Implementation Big Data Developers often work extensively with Apache Hadoop , a widely used distributed data storage and processing framework. They develop and implement Hadoop-based solutions to manage and analyze massive datasets efficiently.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Google BigQuery BigQuery is a fully-managed, serverless cloud data warehouse by Google. It facilitates business decisions using data with a scalable, multi-cloud analytics platform. It offers fast SQL queries and interactive dataset analysis. Additionally, it has excellent machine learning and business intelligence capabilities.

Data Engineering 40

Data Engineering Data Engineer Engineering Google Cloud 40

ProjectPro

JUNE 6, 2025

Use specialized tools, such as Informatica, Goldengate, or StreamSets, if you need to conduct complex logic to detect incremental datasets. Azure Data Factory Security Best Practices Below are some of the Azure Data Factory Security best practices you should consider.

Data Engineering 40

Data Engineering Data Engineer Project Engineering 40

ProjectPro

JUNE 6, 2025

Similarly, companies with vast reserves of datasets and planning to leverage them must figure out how they will retrieve that data from the reserves. A data engineer a technical job role that falls under the umbrella of jobs related to big data. Imagine you are planning to start a small convenience store.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

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.

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ProjectPro

JUNE 6, 2025

For example, you might use a copy activity to copy data between data stores. Data Factory supports data movement, transformations, and control activities. Linked Service: This is more like a connection string, which will hold the information that Data Factory can connect to various sources.

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

Big data is becoming increasingly common in many businesses, and processing this data can be challenging. This is a huge advantage when handling Big Data as it enables businesses to optimize their storage and processing capacity when they process their data to derive meaningful insights using various analytical techniques.

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ProjectPro

JUNE 6, 2025

In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool.

AWS 66

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ProjectPro

JUNE 6, 2025

Customer churn, unhappy or disgruntled customers, is essential data for tracking performance. With customer churn data, you get several insights about how to compensate and deter users from leaving. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

Project 45

Project AWS Algorithm Machine Learning 45

ProjectPro

JUNE 6, 2025

You must study how data is altered during ETL processes, including common tasks like filtering, sorting, aggregating, and combining data. Practice With Real Data The transition from synthetic datasets to real-world data. You must get your hands on real-world datasets and practice ETL tasks using them.

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ETL Tools AWS Big Data Data Validation 45

ProjectPro

JUNE 6, 2025

This blog discusses the skill requirements, roles and responsibilities, and salary outlook for a data analytics engineer to help you make the right decision. They are responsible for data transformation, testing, and documentation. The data analytics engineer serves as a bridge between data engineers and data analysts.

Data Analytics 40

Data Analytics Engineering IT Computer Science 40

ProjectPro

JUNE 6, 2025

Azure Databricks is a robust cloud-based analytics and data processing platform for various data-related tasks. From business intelligence to machine learning, Azure Databricks provides a flexible and scalable environment to tackle various data challenges. Azure Data Factory vs.

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Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Data Analytics Project Plan- Data Modeling and Evaluation The next step in this data analytics project plan template is to create your data model(s) using the clean data from the previous step. Once your data models are ready, you can quickly evaluate their performance and choose the best one among them.

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Data Analytics Project Big Data Tools BI 40

ProjectPro

JUNE 6, 2025

Beginners can familiarize themselves with key components such as pipelines, activities, datasets, linked services, data flows, and integration runtimes. A highlight of this phase is understanding the 'copy activity' in ADF, which allows you to move data between different services seamlessly.

Data Lake 40

Data Lake Cloud Computing Data Pipeline Data Workflow 40

ProjectPro

JUNE 6, 2025

Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Splunk Interview Questions and Answers for Experienced Here are some important Splunk interview questions and answers for experienced data professionals looking to move up the career ladder.

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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.

Big Data 40

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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. Working on this data benefits the airlines and travelers using them.

Big Data 40

Big Data Data Analytics Hadoop Manufacturing 40

ProjectPro

JUNE 6, 2025

And for fulfilling this need, data engineers have to work in teams and extract data from various sources, transform it into a reliable form, and load that into the systems other teams of data science professionals can use to build other relevant applications. as they are required for processing large datasets.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Project Idea: In this project, you will work on a retail store’s data and learn how to realize the association between different products. Additionally, you will learn how to implement Apriori and Fpgrowth algorithms over the given dataset. The goal is to predict the sales and revenue of different stores based on historical data.

Business Analyst 75

Business Analyst Project Retail Banking 75

ProjectPro

JUNE 6, 2025

This blog presents five exciting Splunk project ideas to help data professionals leverage the capabilities of Apache Splunk for their data analysis projects and build excellent interactive dashboards. Use any e-commerce dataset from Kaggle for creating this dashboard.

Project 40

Project Data Mining Big Data Big Data Tools 40

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. How to Build a Predictive Model?

Data Mining 45

Data Mining Banking Retail Healthcare 45

ProjectPro

JUNE 6, 2025

It also covers core concepts, including in-memory caching, interactive shells, Spark RDDs, and distributed datasets. 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.

Big Data 40

Big Data Scala Machine Learning Hadoop 40

ProjectPro

JUNE 6, 2025

The end of a data block points to the location of the next chunk of data blocks. DataNodes store data blocks, whereas NameNodes store these data blocks. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Steps for Data preparation.

Big Data 40

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ProjectPro

JUNE 6, 2025

It can also be used to create derived data entities In this retail big data project , ADF Dataflows act as a flexible solution for data integration and transformation from multiple sources helping the company glean valuable business insights into customer behavior to increase sales.

Retail 40

Retail Big Data Data Warehouse Data Pipeline 40

ProjectPro

JUNE 6, 2025

Furthermore, PySpark allows you to interact with Resilient Distributed Datasets (RDDs) in Apache Spark and Python. Because of its interoperability, it is the best framework for processing large datasets. Easy Processing- PySpark enables us to process data rapidly, around 100 times quicker in memory and ten times faster on storage.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. Using this data pipeline, you will analyze the 2021 Olympics dataset.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

Integrating and implementing business intelligence on Hadoop has revolutionized how businesses manage big data , making Hadoop-based BI solutions more efficient and cost-effective than traditional data warehousing. Business intelligence OLAP is a powerful technology used in BI to perform complex analyses of large datasets.

Hadoop 40

Hadoop BI Big Data Business Intelligence 40

ProjectPro

JUNE 6, 2025

Get Closer To Your Dream of Becoming a Data Scientist with 150+ Solved End-to-End ML Projects Depending on the project you are working on, you might add a few more steps, but these steps are elementary for every other data science project. The first step of cleaning the dataset is critical as a lot of time is spent here.

Deep Learning 40

Deep Learning Algorithm Machine Learning Data Science 40

ProjectPro

JUNE 6, 2025

Familiarize yourself with AWS services which provide powerful tools for data analysis and visualization. As a beginner, it could be difficult to compare the different tools. So, check out this Big Data Tools Comparison Feature by ProjectPro to get started.

AWS 52

AWS Certification Data Analytics Big Data 52

Big Data Tools

SEPTEMBER 6, 2021

Here’s what’s happening in data engineering right now. But it is incredibly hard to determine whether a dataset is ethical, unbiased, and not skewed manually. Given this is a hot topic and there’s a boatload of money in it, you would expect there to be a wealth of tools to verify data ethics… but you’d be wrong.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

JUNE 6, 2025

Big Data Data engineers must focus on managing data lakes, processing large amounts of big data, and creating extensive data integration pipelines. These tasks require them to work with big data tools like the Hadoop ecosystem and related tools like PySpark , Spark, and Hive.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

They are software engineers who design and build the data pipeline , integrate data from various systems, and maintain databases and supporting systems. Data Engineers are responsible for integrating and cleaning data for usage in analytics applications. Who is a Data Architect?

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ProjectPro

JUNE 6, 2025

Best Resources to Learn Azure Synapse Analytics The following resources will help you on your path to understanding Azure Synapse Analytics: Hands-On Azure Synapse Analytics Project Ideas for Practice There’s no better way to learn about any big data tool or service than by working on a practical project leveraging it.

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Data Engineering Data Engineer Engineering Data Lake 40