ProjectPro

JUNE 6, 2025

FAQs on Data Engineering Projects Top 30+ Data Engineering Project Ideas for Beginners with Source Code [2025] We recommend over 20 top data engineering project ideas with an easily understandable architectural workflow covering most industry-required data engineer skills. Interactive dashboards creation in Looker.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Experience Hands-on Learning with the Best Azure Data Engineering Course and Get Certified! Snowflake Real-time Data Warehouse Project In this Snowflake Data Warehousing Project, you'll learn how to deploy the Snowflake architecture to build a data warehouse in the cloud.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Specifically designed to address the problems posed by big data, Dataflow executes Apache Beam pipelines using the Google Cloud Platform infrastructure, offering a powerful solution to the challenges of managing and utilizing large and complex datasets. One way to implement data ingestion with SQL is by using Google Dataflow.

Google Cloud 40

Google Cloud Java Big Data SQL 40

ProjectPro

JUNE 6, 2025

Application Integration With data exchange capabilities and event notifications across different systems and platforms, it can be a good choice for integrating applications with each other particularly when there are multiple applications and services where data needs to be shared.

Google Cloud 40

Google Cloud Cloud Cloud Storage Data Ingestion 40

ProjectPro

JUNE 6, 2025

Let's consider an example of a data processing pipeline that involves ingesting data from various sources, cleaning it, and then performing analysis. The workflow can be broken down into individual tasks such as data ingestion, data cleaning, data transformation, and data analysis.

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Data Pipeline Python PostgreSQL Database 63

ProjectPro

JUNE 6, 2025

For instance, you can retrieve data from an existing table- Data Loading You must begin by grasping the fundamentals of data loading. You must understand the importance of file formats, staging areas, and data ingestion techniques. Snowflake supports loading data from cloud storage (e.g.,

Data Warehouse 40

Data Warehouse SQL AWS Big Data 40

ProjectPro

JUNE 6, 2025

Here are some of the essential skills for an ETL developer- Data Modeling An ETL developer must be able to read, analyze, and transform data to determine the output formats in a target database. These formats are data models and serve as the foundation for an ETL developer's definition of the tools necessary for data transformation.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Source- Building A Serverless Pipeline using AWS CDK and Lambda ETL Data Integration From GCP Cloud Storage Bucket To BigQuery This data integration project will take you on an exciting journey, focusing on extracting, transforming, and loading raw data stored in a Google Cloud Storage (GCS) bucket into BigQuery using Cloud Functions.

Data Integration 40

Data Integration Project Data Lake PostgreSQL 40

ProjectPro

JUNE 6, 2025

As businesses continue to recognize the value of efficient data management, the demand for certified data engineers has surged. These roles typically involve working with large-scale data solutions, implementing data pipelines, and optimizing data architectures for performance and scalability.

Data Engineering 40

Data Engineering Data Engineer Google Cloud Engineering 40

ProjectPro

JUNE 6, 2025

Spark RDDs are abstractions that are meant to accommodate worker node failures while ensuring that no data is lost. The difficulty with the previous MapReduce architecture was that it could only handle data that had already been created. How do you use the TCP/IP Protocol to stream data.

Hadoop 68

Hadoop Metadata Java Datasets 68

Monte Carlo

NOVEMBER 22, 2024

Let’s walk through how to transform your scrappy data setup into a robust pipeline that’s ready to grow with your business. At the front end, you’ve got your data ingestion layer —the workhorse that pulls in data from everywhere it lives.

Data Engineering 52

Data Engineering Data Engineer Building Engineering 52

ProjectPro

JUNE 6, 2025

Sentiment analysis is one of the more advanced projects that showcase the use of Big Data due to its involvement in NLP. Access Big Data Project Solution to Twitter Sentiment Analysis 5. Spark has a Streaming tool that can process real-time streaming data. You will learn about creating Docker Images and Kubernetes architecture.

Big Data 40

Big Data Coding Project Hadoop 40

ProjectPro

JUNE 6, 2025

The Google Cloud Certification program is offered by Google, which validates one's ability to design, deploy, and manage scalable, reliable cloud solutions using the Google Cloud Platform (GCP). It enables professionals to showcase their skills in cloud architecture, data engineering , machine learning , etc.

Google Cloud 40

Google Cloud Certification Cloud Machine Learning 40

ProjectPro

JUNE 6, 2025

AWS is well-suited for hosting static websites, offering scalable storage with Amazon S3 and enhanced performance through CloudFront. Then, the cloud storage service Amazon S3 will host the website's static files, ensuring high availability and scalability. Use Google Cloud Storage to store and manage the data.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

Snowflake

MARCH 2, 2023

As part of this, we are also supporting Snowpipe Streaming as an ingestion method for our Snowflake Connector for Kafka. This solution is both scalable and reliable, as we have been able to effortlessly ingest upwards of 1GB/s throughput.” How does Snowpipe Streaming work?

Kafka 136

Kafka Data Ingestion Data Pipeline Cloud Storage 136

Rockset

MARCH 1, 2023

When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. When data ingestion has a flash flood moment, your queries will slow down or time out making your application flaky.

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Data Ingestion Database Cloud Storage Architecture 144

Monte Carlo

FEBRUARY 20, 2024

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Data Engineering Podcast

JUNE 12, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Unstructured Data 130

Unstructured Data MongoDB MySQL Scala 130

Cloudera

AUGUST 17, 2022

What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in.

Cloud Storage 116

Cloud Storage Cloud Computing Data Science Government 116

Cloudera

MARCH 31, 2021

CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure. With the addition of Google Cloud, we deliver on our vision of providing a hybrid and multi-cloud architecture to support our customer’s analytics needs regardless of deployment platform. . Data Preparation (Apache Spark and Apache Hive) .

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Rockset

AUGUST 4, 2021

Organizations that depend on data for their success and survival need robust, scalable data architecture, typically employing a data warehouse for analytics needs. Snowflake is often their cloud-native data warehouse of choice. Data ingestion must be performant to handle large amounts of data.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Data Lake 40

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. So how can the Kafka ecosystem help here?

Machine Learning 107

Machine Learning Python Kafka Java 107

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

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Data Warehouse Cloud Kafka Cloud Storage 72

Rockset

MARCH 1, 2023

Rockset introduces a new architecture that enables separate virtual instances to isolate streaming ingestion from queries and one application from another. Benefits of Compute-Compute Separation In this new architecture, virtual instances contain the compute and memory needed for streaming ingest and queries.

Architecture 59

Architecture AWS Cloud Storage SQL 59

Towards Data Science

MARCH 5, 2024

In that case, queries are still processed using the BigQuery compute infrastructure but read data from GCS instead. In this environment, the emphasis shifts from minimizing storage space to optimizing query performance. Load data For data ingestion Google Cloud Storage is a pragmatic way to solve the task.

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

RandomTrees

SEPTEMBER 6, 2020

Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS). Built on new SQL database engine, it provides a unique architecture designed for the cloud.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka Data Lake 52

ProjectPro

FEBRUARY 6, 2023

Application Integration With data exchange capabilities and event notifications across different systems and platforms, it can be a good choice for integrating applications with each other particularly when there are multiple applications and services where data needs to be shared.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Towards Data Science

OCTOBER 9, 2024

Get started with Airbyte and Cloud Storage Coding the connectors yourself? Think very carefully Creating and maintaining a data platform is a hard challenge. Not only do you have to make it scalable and useful, but every architectural decision builds up over time. Data connectors are an essential part of such a platform.

Coding 75

Coding Cloud Storage Data Data Ingestion 75

Towards Data Science

NOVEMBER 4, 2023

Indeed, why would we build a data connector from scratch if it already exists and is being managed in the cloud? Very often it is row-based and might become quite expensive on an enterprise level of data ingestion, i.e. big data pipelines. The downside of this approach is it’s pricing model though. Image by author.

Data Engineering 98

Data Engineering Data Engineer Engineering BI 98

Rockset

MARCH 5, 2021

Understanding the space-time tradeoff in data analytics In computer science, a space-time tradeoff is a way of solving a problem or calculation in less time by using more storage space, or by solving a problem in very little space by spending a long time. However for each query it needs to scan your data.

Cloud Storage 52

Cloud Storage Data Ingestion Data Warehouse Computer Science 52

ProjectPro

AUGUST 24, 2021

If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of best data engineering project examples below. With the trending advance of IoT in every facet of life, technology has enabled us to handle a large amount of data ingested with high velocity.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. In Snowflake, there are three different storage layers available, Database, Stage, and Cloud Storage.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

AltexSoft

MAY 12, 2023

Tools and platforms for unstructured data management Unstructured data collection Unstructured data collection presents unique challenges due to the information’s sheer volume, variety, and complexity. The process requires extracting data from diverse sources, typically via APIs. Build data architecture.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Monte Carlo

APRIL 24, 2023

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

WeCloudData

OCTOBER 19, 2021

The team was able to achieve this by leveraging cloud as well as open source tools in a modular set up, taking advantage of relatively cheap cloud storage, a versatile programming language in Python and Spark’s powerful processing engine.

Consulting 52

Consulting Data Lake Raw Data Data Pipeline 52

WeCloudData

OCTOBER 19, 2021

The team was able to achieve this by leveraging cloud as well as open source tools in a modular set up, taking advantage of relatively cheap cloud storage, a versatile programming language in Python and Spark’s powerful processing engine.

Consulting 52

Consulting Data Lake Raw Data Data Pipeline 52