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

These services provide scalable, reliable, and cost-effective solutions for businesses and developers. The Demand for AWS Data Stores The demand for AWS databases refers to the growing need and popularity of using Amazon Web Services (AWS) to host and manage various databases for businesses and organizations.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. Let’s get started! Launched in 2006.

AWS 49

AWS Amazon Web Services Google Cloud Cloud Storage 49

ProjectPro

JUNE 6, 2025

With a 31% market share, Amazon Web Services (AWS) dominates the cloud services industry while making it user-friendly. AWS Data Engineering is one of the core elements of AWS Cloud in delivering the ultimate solution to users. Table of Contents Who is an AWS Data Engineer? What Does an AWS Data Engineer Do?

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AWS Data Engineering Data Engineer Amazon Web Services 45

Knowledge Hut

NOVEMBER 2, 2023

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). You only pay for what you use which makes it a very cost-effective service.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

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. Additionally, it enables data-driven businesses to guarantee secure data sharing and elasticity. Give an overview of Snowflake Architecture.

Amazon Web Services 40

Amazon Web Services Data Warehouse ETL Tools AWS 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

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?

AWS 66

AWS Scala Metadata Data Lake 66

ProjectPro

JUNE 6, 2025

Read this blog to know more about the core AWS big data services essential for data engineering and their implementations for various purposes, such as big data engineering , machine learning, data analytics, etc. million organizations that want to be data-driven choose AWS as their cloud services partner.

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AWS Data Engineering Data Engineer Engineering 40

Snowflake

JUNE 3, 2024

Today, Snowflake is delighted to announce Polaris Catalog to provide enterprises and the Iceberg community with new levels of choice, flexibility and control over their data, with full enterprise security and Apache Iceberg interoperability with Amazon Web Services (AWS), Confluent , Dremio, Google Cloud, Microsoft Azure, Salesforce and more.

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Amazon Web Services Google Cloud Data Architect Government 143

Knowledge Hut

MARCH 7, 2024

Amazon Web Services When it comes to the largest cloud providers, Amazon Web Services undoubtedly tops the list. It is one of the safest platforms for cloud service. Besides the free trial, the services of Google Cloud Platform are made available to the users at flexible payment plans.

Cloud Computing 98

Cloud Computing Amazon Web Services Cloud Google Cloud 98

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

Discover its key features, pricing details, architectural insights, step-by-step tutorials, and real-world use cases. Elevate your data processing skills with Amazon Managed Streaming for Apache Kafka, making real-time data streaming a breeze. Explore the full potential of AWS Kafka with this ultimate guide.

Kafka 40

Kafka AWS Amazon Web Services Data Pipeline 40

Ascend.io

NOVEMBER 14, 2024

Scalability: How To Build Scalable Pipelines Scalability is a fundamental aspect of future-proofing your data pipelines. As data volumes grow, pipelines must efficiently handle increased loads without compromising performance. Here are three strategies to ensure your pipelines are scalable: a.

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Data Pipeline Amazon Web Services Data Integration Data 52

ProjectPro

JUNE 6, 2025

Exam Duration: 60 minutes Certification Exam Cost: $100 USD AWS Big Data Certifications Here is one of the most widely recognized AWS big data certifications - Amazon Web Services Big Data Specialty Certification. Understanding of parallel processing and data architecture patterns.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 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?

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Data Pipeline Building Retail Data Ingestion 40

phData: Data Engineering

FEBRUARY 21, 2025

The Cloud represents an iteration beyond the on-prem data warehouse, where computing resources are delivered over the Internet and are managed by a third-party provider. Examples include: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

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Cloud Data Warehouse Amazon Web Services Data Ingestion 52

ProjectPro

JUNE 6, 2025

.” AWS DocumentDB is a fully managed, NoSQL database service provided by Amazon Web Services (AWS). From its robust architecture to its innovative query optimization techniques, every aspect of AWS DocumentDB is engineered to ensure that your applications run smoothly, even in the face of escalating data demands.

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AWS Database MongoDB Management 40

ProjectPro

JUNE 6, 2025

The process involves stages such as data extraction, where information is gathered; data transformation, where it is cleaned and normalized; and data loading, where it's stored. Automation, often facilitated by technologies like ETL tools or event-driven architectures, is key for efficiency and reliability.

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Data Pipeline Google Cloud AWS Kafka 49

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

ProjectPro

JUNE 6, 2025

BigQuery Redshift vs. BigQuery - Battle of the Cloud Data Warehouse Tools Before diving into the differences, let us first understand data warehouses. A data warehouse is a data storage system that collects data from various sources to provide meaningful business insights. BigQuery encrypts data by default.

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Data Warehouse Data Mining PostgreSQL Google Cloud 40

ProjectPro

JUNE 6, 2025

DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS). DynamoDB uses SSD storage, and its data model is based on key-value pairs. Overall, the choice between DynamoDB and MongoDB will majorly depend on the specific requirements of your big data application.

NoSQL 40

NoSQL MongoDB Database Amazon Web Services 40

ProjectPro

JUNE 6, 2025

The answer is simple- by gaining a solid grasp of the real-time data ingestion process. This comprehensive guide sheds light upon the core concepts of real-time data ingestion, exploring its various types, patterns, tools, services, and architectures, along with some real-world examples to solidify your understanding.

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Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

Machine Learning Case Study on Dell Dell Technologies is a multinational technology company that designs, develops, and sells computers, servers, data storage devices, network switches, software, and other technology products and services. The lip sync is handled using the SynNet architecture.

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Machine Learning Algorithm Amazon Web Services Healthcare 75

U-Next

SEPTEMBER 22, 2022

What Is Multi-cloud Architecture? . Before we understand what multi- cloud architecture is, we need to understand what cloud architecture is. . Cloud Architecture . Think of cloud infrastructure as the materials used in building a house, while cloud architecture is the blueprint used to build the house. .

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Architecture Cloud Amazon Web Services Cloud Computing 52

Knowledge Hut

NOVEMBER 7, 2023

You can swiftly provision infrastructure services like computation, storage, and databases, as well as machine learning, the internet of things, data lakes and analytics, and much more. To learn more about cloud computing architecture take up the best Cloud Computing courses by Knowledgehut. What Is Cloud Computing?

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Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JUNE 6, 2025

FAQs on Data Engineering Skills Mastering Data Engineering Skills: An Introduction to What is Data Engineering Data engineering is the process of designing, developing, and managing the infrastructure needed to collect, store, process, and analyze large volumes of data. 2) Does data engineering require coding?

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Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

In comparison, GCP is a subset of Google Cloud, which offers public cloud infrastructure for hosting web-based applications. Who is a GCP Data Engineer? A professional data engineer designs systems to gather and navigate data. The responsibilities of GCP engineers vary depending on their skills and years of experience.

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Data Engineering Data Engineer Google Cloud Engineering 40

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse? Its analytical skills enable companies to gain significant insights from their data and make better decisions.

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Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

JUNE 6, 2025

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. Your organization will use internal and external sources to port the data.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

Knowledge Hut

DECEMBER 26, 2023

Amazon Web Services Amazon Web Services (AWS) offers on-demand Cloud computing tools and APIs to enterprises that want distributed computing capabilities. It provides virtual environments in which users can load and deploy various applications and services.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 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

ProjectPro

JUNE 6, 2025

Cloud computing offers immense opportunities for businesses and individuals alike, revolutionizing the way we store, process, and analyze data. One of the leading cloud service providers, Amazon Web Services (AWS ), offers powerful tools and services that can propel your data analysis endeavors to new heights.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

With vast volumes of data being generated every second, organizations are increasingly relying on big data solutions that can harness the power of data to derive meaningful insights. However, it is recommended to have a basic understanding of AWS services and two years of experience working with AWS technology.

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Big Data AWS Certification Hadoop 40

ProjectPro

JUNE 6, 2025

Now is the ideal time to add big data skills to your resume and gain wings to fly around the job market with the multitude of big data jobs available today. Big Data careers span multiple domains Data Engineering, Data Science, Data Analytics, Data Architecture, and Business Analytics.

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Big Data Big Data Skills Scala Hadoop 45

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

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Data Pipeline Architecture Data Lake Data Warehouse 52

Knowledge Hut

JANUARY 29, 2024

These servers are primarily responsible for data storage, management, and processing. The cloud is characterized as a service provided by hardware and software resources. To further understand cloud computing vs. data science, here are some essential differences that need to be noted: 1.

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Cloud Computing Data Science Cloud Amazon Web Services 98