ProjectPro

JUNE 6, 2025

Explore Data Engineer Projects to Learn the Plumbing of Data Science Role and Responsibilities of a Data Engineer Prepare, handle, and supervise efficient data pipeline architectures. Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

To help you prepare for your data warehouse engineer interview, we have included a list of some popular Snowflake interview questions and answers in this blog. Snowflake Basic Interview Questions Below are some basic questions for the Snowflake data engineer interview. What kind of database is Snowflake?

Amazon Web Services 40

Amazon Web Services Data Warehouse ETL Tools AWS 40

ProjectPro

JUNE 6, 2025

Many leading brands like the Walt Disney Company, Koch Industries Inc, LTK, Amgen, and more use Amazon Redshift for optimizing their data science workflows. Table of Contents AWS Redshift Data Warehouse Architecture 1. Databases Top10 AWS Redshift Project Ideas and Examples for Practice AWS Redshift Projects for Beginners 1.

Data Pipeline 64

Data Pipeline AWS Project Building 64

ProjectPro

JUNE 6, 2025

So, let’s dive into the list of the interview questions below - List of the Top Amazon Data Engineer Interview Questions Explore the following key questions to gauge your knowledge and proficiency in AWS Data Engineering. Become a Job-Ready Data Engineer with Complete Project-Based Data Engineering Course !

Data Engineering 40

Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

ETL is a process that involves data extraction, transformation, and loading from multiple sources to a data warehouse, data lake, or another centralized data repository. An ETL developer designs, builds and manages data storage systems while ensuring they have important data for the business.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

According to the Data Management Body of Knowledge, a Data Architect "provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture." What Does a Data Architect Do?

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

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.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

DataFrames are used by Spark SQL to accommodate structured and semi-structured data. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase , Apache Hive, and others like the Hadoop Distributed File System. However, Trino is not limited to HDFS access.

Big Data 49

Big Data Project Metadata Programming Language 49

ProjectPro

JUNE 6, 2025

Cloud Computing is the grouping of networks, hardware, services, and storage that delivers/sells computing over the internet. Building data storage and computing architecture locally were getting more expensive during the advent of Big Data technologies. What are the component layers found in Cloud architecture?

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

A primary key is a column or set of columns in a relational database management system table that uniquely identifies each record. To avoid null values and duplicate entries, the primary key constraint is applied to the column data. List some of the benefits of data modeling. What is the definition of a primary key?

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

I employed a microservices architecture with Docker and Kubernetes for containerization and orchestration to achieve this. Apache Cassandra was chosen for the distributed database, ensuring scalability and fault tolerance. When choosing between different data storage solutions, several key considerations come into play.

Data Engineering 40

Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

These pipelines are the go-to solution for data engineers, and it's no secret why. This blog will help you demystify batch data pipelines, explore the essential tools and architecture, share some best practices, and walk you through building your first batch data pipeline. Table of Contents What Is A Batch Data Pipeline?

Data Pipeline 40

Data Pipeline Building Data Ingestion Retail 40

ProjectPro

JUNE 6, 2025

Let us dive deeper into this data integration solution by AWS and understand how and why big data professionals leverage it in their data engineering projects. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances. Table of Contents What is AWS Glue? Why Use AWS Glue?

AWS 66

AWS Scala Metadata Data Lake 66

ProjectPro

JUNE 6, 2025

High-performance databases, including relational ones like MySQL and NoSQL ones like MongoDB and Cassandra. In-memory databases like SAP HANA that employ analytics for business intelligence and optimal data storage formats. In-memory databases like Redis and Memcached. Relational database workloads.

PostgreSQL 40

PostgreSQL MySQL AWS Relational Database 40

Data Engineering Podcast

JUNE 10, 2018

Summary With the increased ease of gaining access to servers in data centers across the world has come the need for supporting globally distributed data storage. With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages.

PostgreSQL 100

PostgreSQL NoSQL Relational Database SQL 100

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Data Storage : Store validated data in a structured format, facilitating easy access for analysis.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

ProjectPro

JUNE 6, 2025

An ETL (Extract, Transform, Load) Data Engineer is responsible for designing, building, and maintaining the systems that extract data from various sources, transform it into a format suitable for data analysis, and load it into data warehouses, lakes, or other data storage systems.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

Databand.ai

AUGUST 30, 2023

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

ProjectPro

JUNE 6, 2025

Table of Contents Data Lake vs Data Warehouse - The Differences Data Lake vs Data Warehouse - The Introduction What is a Data warehouse? Data Warehouse Architecture What is a Data lake? Data is generally not loaded into a data warehouse unless a use case has been defined for the data.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

These AWS resources offer the highest level of usability and are created specifically for the performance optimization of various applications using content delivery features, data storage, and other methods. AWS Redshift Amazon Redshift offers petabytes of structured or semi-structured data storage as an ideal data warehouse option.

AWS 40

AWS Data Engineering Data Engineer Engineering 40

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Storage layer 3.

Architecture 52

Architecture Data Lake Metadata NoSQL 52

ProjectPro

JUNE 6, 2025

Features of PySpark The PySpark Architecture Popular PySpark Libraries PySpark Projects to Practice in 2022 Wrapping Up FAQs Is PySpark easy to learn? Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

MongoDB fully supports secondary indexes, ensuring fast access to data by any field. In addition, MongoDB offers multi-document transactions, making it the only database to offer both the ACID properties of conventional relational databases and the speed and flexibility of the document object model.

NoSQL 40

NoSQL MongoDB Database Amazon Web Services 40

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Storage layer 3.

Architecture 52

Architecture Data Lake Metadata NoSQL 52

Data Engineering Weekly

JUNE 10, 2024

The architecture pattern establishes the baseline of how the cloud providers will eventually eat Snowflake & Databricks lunch. link] Open AI: Model Spec LLM models are slowly emerging as the intelligent data storage layer. However, all these cloud providers do offer competitive products. On the time will tell us.

Data Engineering 103

Data Engineering Data Engineer Engineering Kafka 103

ProjectPro

JUNE 6, 2025

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

Increased Efficiency: Cloud data warehouses frequently split the workload among multiple servers. As a result, these servers handle massive volumes of data rapidly and effectively. Handle Big Data: Storage in cloud-based data warehouses may increase independently of computational resources. What is Data Purging?

Data Warehouse 40

Data Warehouse Data Mining Recruitment ETL Tools 40

ProjectPro

JUNE 6, 2025

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

SEPTEMBER 23, 2021

One of the innovative ways to address this problem is to build a data hub — a platform that unites all your information sources under a single umbrella. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. What is Data Hub?

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Knowledge Hut

APRIL 25, 2024

Each of these technologies has its own strengths and weaknesses, but all of them can be used to gain insights from large data sets. As organizations continue to generate more and more data, big data technologies will become increasingly essential. Let's explore the technologies available for big data.

Big Data 98

Big Data Technology NoSQL Hadoop 98

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Benjamin Kennedy, Cloud Solutions Architect at Striim, emphasizes the outcome-driven nature of data pipelines.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Data Engineering Podcast

AUGUST 19, 2018

How does the query interface and data storage in DGraph differ from other options? What are your opinions on the graph query languages that have been adopted by other storages systems, such as Gremlin, Cypher, and GSQL? How is DGraph architected and how has that architecture evolved from when it first started?

Database 100

Database PostgreSQL NoSQL Transportation 100

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Data warehouse. Traditional data warehouse platform architecture. Data lake.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

JUNE 6, 2025

The data integration aspect of the project is highlighted in the utilization of relational databases, specifically PostgreSQL and MySQL , hosted on AWS RDS (Relational Database Service). You will use Python libraries for data processing and transformation.

Data Integration 40

Data Integration Project Data Lake PostgreSQL 40

Data Engineering Podcast

APRIL 22, 2019

Summary One of the biggest challenges for any business trying to grow and reach customers globally is how to scale their data storage. FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems. Can you talk through how it works?

Database 100

Database Cloud NoSQL Scala 100