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 Engineer

ProjectPro

JUNE 6, 2025

You can contribute to Apache Beam open-source big data project here: [link] 2. Clickhouse Source: Github Clickhouse is a column-oriented database management system used for the online analytical processing of queries ( also known as OLAP). DataFrames are used by Spark SQL to accommodate structured and semi-structured data.

Big Data

ProjectPro

JUNE 6, 2025

It's the magic of vector databases! To unlock the power of complex data formats such as audio files, images, etc., researchers have developed vector databases that allow users to utilize similarity search through vectors. Table of Contents Introduction to Vector Databases How Vector Databases Work?

Database

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Though basic and easy to use, traditional table storage formats struggle to keep up. Track data files within the table along with their column statistics. Contact phData Today!

Architecture

Edureka

APRIL 22, 2025

Similarly, Amazon Relational Database Service (RDS) handles database engine patching, OS hardening, and underlying storage durability, while customers configure database users, schemas, and encryption settings.

Amazon Web Services

ProjectPro

JUNE 6, 2025

Enterprise Data Warehouse (EDW): Enterprise data warehouse is a centralized warehouse that provides decision-making support services across the enterprise. EDWs are often a collection of databases that provide a unified approach to classify and organize data according to the subject. What is ODS?

Data Warehouse

ProjectPro

JUNE 6, 2025

Are you ready to join the database revolution? Data is the new oil" has become the mantra of the digital age, and in this era of rapidly increasing data volumes, the need for robust and scalable database management solutions has never been more critical. FAQs on Microsoft Azure Cosmos DB What is Azure Cosmos DB?

Database

ProjectPro

JUNE 6, 2025

A data architect, in turn, understands the business requirements, examines the current data structures, and develops a design for building an integrated framework of easily accessible, safe data aligned with business strategy. Table of Contents What is a Data Architect Role? Understanding of Data modeling tools (e.g.,

Data Architect

ProjectPro

JUNE 6, 2025

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service.

AWS

Snowflake

APRIL 2, 2025

Data storage has been evolving, from databases to data warehouses and expansive data lakes, with each architecture responding to different business and data needs. Traditional databases excelled at structured data and transactional workloads but struggled with performance at scale as data volumes grew.

Data Lake

ProjectPro

JUNE 6, 2025

Snowflake Basic Interview Questions Below are some basic questions for the Snowflake data engineer interview. What kind of database is Snowflake? SQL database serves as the foundation for Snowflake. It is a columnar-stored relational database that integrates seamlessly with various tools, including Excel and Tableau.

Amazon Web Services

ProjectPro

JUNE 6, 2025

Graduating from ETL Developer to Data Engineer Career transitions come with challenges. Suppose you are already working in the data industry as an ETL developer. You can easily transition to other data-driven jobs such as data engineer , analyst, database developer, and scientist.

Data Engineer

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.

AWS

ProjectPro

JUNE 6, 2025

Migrating to a public, private, hybrid, or multi-cloud environment requires businesses to find a reliable, economical, and effective data migration project approach. From migrating data to the cloud to consolidating databases, this blog will cover a variety of data migration project ideas with best practices for successful data migration.

Project

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

ProjectPro

JUNE 6, 2025

So, when we lift and shift SSIS packages to the data factory, we use Azure SSIS Integration Runtime. What is required to execute an SSIS package in Data Factory? We must create an SSIS integration runtime and an SSISDB catalog hosted in the Azure SQL server database or Azure SQL-managed instance before executing an SSIS package.

Data Lake

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

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 Engineer

ProjectPro

JUNE 6, 2025

Sample answer - In a previous role as a data engineer, I optimized a struggling data pipeline for a financial services company processing large transaction volumes. Apache Cassandra was chosen for the distributed database, ensuring scalability and fault tolerance.

Data Engineer

ProjectPro

JUNE 6, 2025

Key Components of Batch Data Pipeline Architecture The batch data pipeline architecture consists of several key components and follows the below typical batch data pipeline workflow across systems - Data Source- This is where your data originates. Data Storage- Processed data needs a destination for storage.

Data Pipeline

ProjectPro

JUNE 6, 2025

Setting up the cloud to store data to ensure high availability is one of the most critical tasks for big data specialists. Due to this, knowledge of cloud computing platforms and tools is now essential for data engineers working with big data. Unlock the ProjectPro Learning Experience for FREE 9.

Data Engineer

Teradata

MAY 30, 2025

Introduction to Teradata VantageCloud Lake on AWS Teradata VantageCloud Lake, a comprehensive data platform, serves as the foundation for our data mesh architecture on AWS. The data mesh architecture Key components of the data mesh architecture 1.

AWS

ProjectPro

JUNE 6, 2025

By 2030, the market for database as a service is likely to reach 80.95 In a market like this, the choice of a database solution can make or break the success of your applications. As the volume and complexity of data continue to grow, selecting the right database technology has become even more critical.

Amazon Web Services

ProjectPro

JUNE 6, 2025

Extraction- Data is extracted from multiple sources such as databases, applications, or files. Transformation- After extraction, the data undergoes transformation- cleaned, standardized, and modified to match the desired format. You will use Python libraries for data processing and transformation.

Data Integration

ProjectPro

JUNE 6, 2025

Resilient Distributed Databases - RDDs The components that run and operate on numerous nodes to execute parallel processing on a cluster are RDDs (Resilient Distributed Datasets). PySpark SQL and Dataframes A dataframe is a shared collection of organized or semi-structured data in PySpark. JSC- Represents the JavaSparkContext instance.

Big Data

ProjectPro

JUNE 6, 2025

Spark saves data in memory (RAM), making data retrieval quicker and faster when needed. Spark is a low-latency computation platform because it offers in-memory data storage and caching. Spark can integrate with Apache Cassandra to process data stored in this NoSQL database.

Hadoop

ProjectPro

JUNE 6, 2025

Hive provides a high-level abstraction over Hadoop's MapReduce framework, enabling users to interact with data using familiar SQL syntax. This feature allows data analysts and developers to write hive queries in HQL, which is similar to SQL, making it easier for those familiar with relational databases to work with big data.

Big Data

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. There is a large amount of data involved.

Data Engineer

ProjectPro

JUNE 6, 2025

Traditional ETL processes have long been a bottleneck for businesses looking to turn raw data into actionable insights. Amazon, which generates massive volumes of data daily, faced this exact challenge. This flexibility allows organizations to integrate data from multiple sources without upfront standardization.

Data Analytics

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

ProjectPro

JUNE 6, 2025

Data Warehouse Architecture The Data Warehouse Architecture essentially consists of the following layers: Source Layer: Data warehouses collect data from multiple, heterogeneous sources. Staging Area: Once the data is collected from the external sources in the source layer, the data has to be extracted and cleaned.

Data Lake

ProjectPro

JUNE 6, 2025

Choosing the right RDS instance type for your database workloads can be tricky when you have so many AWS RDS Instance types available. Especially since not all the instance types will be supported for every database version, engine, region, or edition. In-memory databases like Redis and Memcached. Relational database workloads.

PostgreSQL

ProjectPro

JUNE 6, 2025

Data scientists and engineers typically use the ETL (Extract, Transform, and Load) tools for data ingestion and pipeline creation. For implementing ETL, managing relational and non-relational databases, and creating data warehouses, big data professionals rely on a broad range of programming and data management tools.

Big Data Tools

ProjectPro

JUNE 6, 2025

And, out of these professions, we will focus on the data engineering job role in this blog and list out a comprehensive list of projects to help you prepare for the same. Cloud computing skills, especially in Microsoft Azure, SQL , Python , and expertise in big data technologies like Apache Spark and Hadoop, are highly sought after.

Data Engineer

ProjectPro

JUNE 6, 2025

By mastering the fundamentals, you can advance professionally and pursue other technical opportunities with Azure, such as Associate Azure Data Engineer , Associate Azure Database Administrator, etc. A score of 700 is required to pass the Azure Data Fundamentals exam, graded on a scale of 1 to 1000. big data and ETL tools, etc.

Certification

ProjectPro

JUNE 6, 2025

AWS Cloud provides a wide range of on-demand solutions for data storage and movement, allowing companies to scale instantly and pay only for resources they use. It offers on-demand storage, network connectivity, and processing while managing IT infrastructure, servers, and networking resources. services to users.

AWS

ProjectPro

JUNE 6, 2025

Let us compare traditional data warehousing and Hadoop-based BI solutions to better understand how using BI on Hadoop proves more effective than traditional data warehousing- Point Of Comparison Traditional Data Warehousing BI On Hadoop Solutions Data Storage Structured data in relational databases.

Hadoop