ProjectPro

JUNE 6, 2025

Becoming a successful aws data engineer demands you to learn AWS for data engineering and leverage its various services for building efficient business applications. Amazon Web Services, or AWS, remains among the Top cloud computing services platforms with a 34% market share as of 2022. What is Data Engineering??

AWS 40

AWS Data Engineer Data Engineering Engineering 40

Edureka

APRIL 22, 2025

Understanding the AWS Shared Responsibility Model is essential for aligning security and compliance obligations. The model delineates the division of labor between AWS and its customers in securing cloud infrastructure and applications. Let us begin by defining the Shared Responsibility Model and its core purpose in the AWS ecosystem.

Amazon Web Services 40

Amazon Web Services AWS Data Governance Cloud 40

ProjectPro

JUNE 6, 2025

As of 2021, Amazon Web Services (AWS) is the most popular vendor controlling 32% of the cloud infrastructure market share. 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. How do I create an AWS Architecture?

AWS 40

AWS Architecture Amazon Web Services Cloud Computing 40

ProjectPro

JUNE 6, 2025

This section will cover the most commonly asked questions for an Amazon Data Engineer interview. Candidates should focus on Data Modelling , ETL Processes, Data Warehousing, Big Data Technologies, Programming Skills, AWS services, data processing technologies, and real-world problem-solving scenarios.

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks. Handle and source data from different sources according to business requirements. And data engineers are the ones that are likely to lead the whole process.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

Amazon offers top database services, such as RDS, Aurora , Redshift , DynamoDB, etc., which allow users to create relational, graph, wide-column, and other use-case-specific data models. These databases are completely managed by AWS, relieving users of time-consuming activities like server provisioning, patching, and backup.

Amazon Web Services 40

Amazon Web Services NoSQL Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Build your Data Engineer Portfolio with ProjectPro! 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 Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

With over more than one million active customers, AWS RDS is one of the most popular service in the AWS Portfolio used by thousands of organizations to power their relational databses. Choosing the right RDS instance type for your database workloads can be tricky when you have so many AWS RDS Instance types available.

PostgreSQL 40

PostgreSQL MySQL AWS Relational Database 40

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

JUNE 6, 2025

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. PaaS packages the platform for development and testing along with data, storage, and computing capability.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

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 40

Amazon Web Services Data Warehouse ETL Tools AWS 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 AWS 40

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 efficiently handle data processing and transformation tasks with AWS Lambda and Glue.

Data Integration 40

Data Integration Project Hospitality Data Lake 40

ProjectPro

JUNE 6, 2025

But this might be a complex task if a single cloud platform hosts your entire database. For this project idea, you need to synchronize source data between two cloud providers, for example, GCP and AWS , using AWS DataSync console, AWS Command Line Interface (CLI), or AWS SDKs.

Project 40

Project Google Cloud AWS MongoDB 40

ProjectPro

JUNE 6, 2025

Companies need ETL engineers to ensure data is extracted, transformed, and loaded efficiently, enabling accurate insights and decision-making. Source: LinkedIn The rise of cloud computing has further accelerated the need for cloud-native ETL tools , such as AWS Glue , Azure Data Factory , and Google Cloud Dataflow.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

It is suitable in scenarios where data needs to be collected from different systems, transformed, and loaded into a central repository. AWS Data Pipeline AWS Data Pipeline is a cloud-based service by Amazon Web Services (AWS) that simplifies the orchestration of data workflows.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

Data analytics offer automated business process optimization techniques to predict and optimize various business process outcomes. Two of the most popular NoSQL database services available in the industry are AWS DynamoDB and MongoDB. MongoDB fully supports secondary indexes, ensuring fast access to data by any field.

NoSQL 40

NoSQL MongoDB Database Amazon Web Services 40

ProjectPro

JUNE 6, 2025

Preparing for your next AWS cloud computing interview? Here’s the perfect resource for you- a list of top AWS Solutions Architect interview questions and answers! As the numerous advantages of cloud computing are gaining popularity, more and more businesses and individuals worldwide are starting to use the AWS platform.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

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 52

Architecture Systems Data Lake Google Cloud 52

ProjectPro

JUNE 6, 2025

Due to this, knowledge of cloud computing platforms and tools is now essential for data engineers working with big data. Depending on the demands for data storage, businesses can use internal, public, or hybrid cloud infrastructure, including AWS , Azure , GCP , and other popular cloud computing platforms.

Data Engineer 40

Data Engineer Data Engineering PostgreSQL Engineering 40

Data Engineering Weekly

JUNE 10, 2024

[link] Piethein Strengholt: Integrating Azure Databricks and Microsoft Fabric Databricks buying Tabluar certainly triggers interesting patterns in the data infrastructure. Databricks and Snowflake offer a data warehouse on top of cloud providers like AWS, Google Cloud, and Azure. Will they co-exist or fight with each other?

Data Engineer 103

Data Engineer Data Engineering Engineering Kafka 103

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

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 Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Extracting, transforming, and loading (ETL) data from their transactional databases into data warehouses like Redshift slowed their analytics, delaying crucial business decisions. Amazon introduced the Zero ETL concept at the AWS re: Invent 2022 conference to overcome these inefficiencies. How Does Zero-ETL Work?

Data Analytics 40

Data Analytics MySQL PostgreSQL Data Lake 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. What is meant by Aggregate Functions in SQL?

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Why Are Big Data Tools Valuable to Data Professionals? Data scientists and engineers typically use the ETL (Extract, Transform, and Load) tools for data ingestion and pipeline creation. Hadoop is scalable as it works in a distributed environment, unlike traditional systems that put a limit on the amount of data storage.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

ProjectPro

JUNE 6, 2025

Table of Contents Machine Learning Case Studies on GitHub Machine Learning Case Studies in Python Company-Specific Machine Learning Case Studies Machine Learning Case Studies in Biology and Healthcare AWS Machine Learning Case Studies Azure Machine Learning Case Studies How to Prepare for Machine Learning Case Studies Interview?

Machine Learning 75

Machine Learning Amazon Web Services Algorithm Healthcare 75

ProjectPro

JUNE 6, 2025

AWS or Azure? With so many data engineering certifications available , choosing the right one can be a daunting task. Table of Contents Why Are Data Engineering Skills In Demand? This section mainly focuses on the three most valuable and popular vendor-specific data engineering certifications- AWS, Azure , and GCP.

Certification 40

Certification Data Engineer Data Engineering Engineering 40

Edureka

JULY 16, 2024

However, going from data to the shape of a model in production can be challenging as it comprises data preprocessing, training, and deployment at a large scale. Amazon SageMaker, an AWS-managed AI service, is created to support enterprises on this journey and make it efficient and easy. Table of Content What is Amazon SageMaker?

AWS 52

AWS Machine Learning Algorithm Amazon Web Services 52

ProjectPro

JUNE 6, 2025

Data Architect Salary How to Become a Data Architect - A 5-Step Guide Become a Data Architect - Key Takeaways FAQs on Data Architect Career Path What is a Data Architect Role? A solid understanding of SQL is also essential to manage, access, and manipulate data from relational databases.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

When it comes to data ingestion pipelines, PySpark has a lot of advantages. PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems. PySpark SQL and Dataframes A dataframe is a shared collection of organized or semi-structured data in PySpark.

Big Data 40

Big Data Data Process Process Kafka 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 Database 40

ProjectPro

JUNE 6, 2025

Any inconsistencies found in the data are removed, and all gaps that can be filled are filled to ensure that the data maintains integrity. Data Warehouse Layer: Once the data is transformed into the required format, it is saved into a central repository. Recommended Reading: Is Hadoop Going To Replace Data Warehouse?

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

Data Engineering Podcast

AUGUST 19, 2018

Stop by their booth at JupyterCon in New York City on August 22nd through the 24th to say Hi and tell them that the Data Engineering Podcast sent you! After that, keep an eye on the AWS marketplace for a pre-packaged version of Quilt for Teams to deploy into your own environment and stop fighting with your data.

Database 100

Database PostgreSQL Transportation NoSQL 100

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.

Database 100

Database Cloud NoSQL Scala 100

Cloudera

SEPTEMBER 9, 2021

AWS and Azure standards) reducing cost, complexity and ensuing risk mitigation in HA scenarios: . That type of architecture results in consolidation of compute and storage resources by up to a factor of 6 (moving to COD from an HA based IaaS model) reducing associated cloud infrastructure costs. . Savings opportunity on AWS.

Database 95

Database AWS Relational Database Government 95

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 40

Big Data Architecture Project Hadoop 40