ProjectPro

JUNE 6, 2025

” AWS DocumentDB is a fully managed, NoSQL database service provided by Amazon Web Services (AWS). This popular open-source NoSQL database makes it an ideal choice for applications that require the flexibility of a document database while benefiting from AWS's scalability, reliability, and management features.

AWS 40

AWS Database MongoDB Management 40

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Data Storage Solutions As we all know, data can be stored in a variety of ways.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

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 40

Data Engineer Data Engineering Engineering NoSQL 40

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52

NoSQL Database-centric Relational Database MongoDB 52

ProjectPro

JUNE 6, 2025

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Database Variety: AWS provides multiple database options such as Aurora (relational), DynamoDB (NoSQL), and ElastiCache (in-memory), letting startups choose the best-fit tech for their needs.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

Tired of relentlessly searching for the most effective and powerful data warehousing solutions on the internet? This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. Search no more! Did you know ?

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

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 Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

I employed a microservices architecture with Docker and Kubernetes for containerization and orchestration to achieve this. This architecture significantly boosted the platform's reliability, scalability, and performance, exemplified during peak loads like Black Friday, showcasing its success in handling a burgeoning user base.

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 40

ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies.

NoSQL 52

NoSQL Database Hadoop Big Data 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 Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

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

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

Microsoft offers Azure Data Lake, a cloud-based data storage and analytics solution. It is capable of effectively handling enormous amounts of structured and unstructured data. Therefore, it is a popular choice for organizations that need to process and analyze big data files. Define the Synapse Architecture.

Data Lake 40

Data Lake Amazon Web Services Data Warehouse SQL 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 Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

The normalization process helps in: removing redundant data (for example, storing data in multiple tables) and ensuring data integrity. Normalization is useful for minimizing data storage and logically storing data in multiple tables. List some of the benefits of data modeling.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

They ensure the data flows smoothly and is prepared for analysis. Apache Hadoop Development and Implementation Big Data Developers often work extensively with Apache Hadoop , a widely used distributed data storage and processing framework. These tools are the backbone of Big Data processing and analytics.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Processing: This is the final step in deploying a big data model.

Big Data 40

Big Data Hadoop Relational Database AWS 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. Can you describe the architecture of CockroachDB and how it supports distributed ACID transactions?

PostgreSQL 100

PostgreSQL NoSQL Relational Database SQL 100

ProjectPro

JUNE 6, 2025

Azure Cosmos DB Pricing Azure Cosmos DB Tutorial: Getting Started with NoSQL Database Real-World Applications of Azure Cosmos DB Boosting Performance in Cosmos DB: Top Tips and Techniques Azure Cosmos DB Project Ideas Enhance Your Data Management Skills with ProjectPro's Guided Azure Projects! What is Cosmos DB Used for?

Database 40

Database Management NoSQL MongoDB 40

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

We will now describe the difference between these three different career titles, so you get a better understanding of them: Data Engineer A data engineer is a person who builds architecture for data storage. They can store large amounts of data in data processing systems and convert raw data into a usable format.

Engineering 75

Engineering Software Engineer Software Engineering Deep Learning 75

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. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 40

Big Data Data Engineer Data Engineering 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 Unstructured Data 52

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 Engineer Data Engineering 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 Unstructured Data 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

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.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 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

It was built from the ground up for interactive analytics and can scale to the size of Facebook while approaching the speed of commercial data warehouses. Presto allows you to query data stored in Hive, Cassandra, relational databases, and even bespoke data storage.

Big Data 49

Big Data Project Metadata Programming Language 49

ProjectPro

JUNE 6, 2025

Distributed web-scale cache stores, like Memcached and Redis, that offer an in-memory cache of key-value type data. High-performance databases, including relational ones like MySQL and NoSQL ones like MongoDB and Cassandra. Applications that require a lot of memory can benefit from R5 and R4 instances.

PostgreSQL 40

PostgreSQL MySQL AWS Relational Database 40

ProjectPro

JUNE 6, 2025

This blog post provides an overview of the top 10 data engineering tools for building a robust data architecture to support smooth business operations. Table of Contents What are Data Engineering Tools? This is important since big data can be structured or unstructured or any other format. AWS, Azure, GCP , etc.,

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

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

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?

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

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. Can you describe the architecture of FaunaDB and how it has evolved? Can you describe the architecture of FaunaDB and how it has evolved? Can you talk through how it works?

Database 100

Database Cloud NoSQL Scala 100

ProjectPro

JUNE 4, 2015

The holistic view of Hadoop architecture gives prominence to Hadoop common, Hadoop YARN, Hadoop Distributed File Systems (HDFS ) and Hadoop MapReduce of the Hadoop Ecosystem. HDFS in Hadoop architecture provides high throughput access to application data and Hadoop MapReduce provides YARN based parallel processing of large data sets.

Hadoop 52

Hadoop Architecture IT Java 52

Cloudera

NOVEMBER 23, 2021

HBase is a column-oriented data storage architecture that is formed on top of HDFS to overcome its limitations. Although the HBase architecture is a NoSQL database, it eases the process of maintaining data by distributing it evenly across the cluster. Apache HBase.

Database 91

Database Non-relational Database NoSQL Government 91