ProjectPro

JUNE 6, 2025

Data professionals who work with raw data, like data engineers, data analysts, machine learning scientists , and machine learning engineers , also play a crucial role in any data science project. If you are also one, explore ProjectPro's data engineering project ideas for a head start.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

Whether you're running a global e-commerce platform, an IoT-driven smart city project, or a real-time analytics application, Cosmos DB offers the flexibility and scalability to meet your evolving data needs. Azure Cosmos DB is a fast and distributed database designed to handle NoSQL and relational data at any scale.

Database 40

Database Management MongoDB NoSQL 40

ProjectPro

JUNE 6, 2025

Lower development expenses- Data modeling detects errors and anomalies at the beginning of the project when they are easy and inexpensive to resolve. Consolidate and develop hybrid architectures in the cloud and on-premises, combining conventional, NoSQL, and Big Data. What is a hierarchical database management system (DBMS)?

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

Knowledge Hut

JANUARY 23, 2024

Mongo DB is a popular NoSQL and open-source document-oriented database which allows a highly scalable and flexible document structure. As a NoSQL solution, MongoDB is specifically designed to adeptly handle substantial volumes of data. To get the most out of MongoDB, take a close look at its features and capabilities.

MongoDB 52

MongoDB Project Database-centric NoSQL 52

ProjectPro

MAY 13, 2015

MongoDB is one of the hottest IT tech skills in demand with big data and cloud proliferating the market. MongoDB certification is one of the hottest IT certifications poised for the biggest growth and utmost financial gains in 2015. What follows is an elaborate explanation on what makes MongoDB the hottest IT certification in demand.

NoSQL 40

NoSQL MongoDB Certification Database 40

ProjectPro

JUNE 6, 2025

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects Deep Learning is a machine learning technique based on artificial neural networks.

Big Data 40

Big Data Data Analysis NoSQL Deep Learning 40

ProjectPro

JUNE 6, 2025

Graph Database Examples Use Cases of Graph Databases Graph Database Project Ideas Learn to Apply Graph Database Concepts with ProjectPro! The project covers setting up AWS services, understanding graph concepts, and performing advanced analytics, offering hands-on experience with graph databases and cloud-based data processing.

Database 40

Database Database-centric Relational Database MongoDB 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. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49

NoSQL Big Data SQL Database-centric 49

ProjectPro

JUNE 6, 2025

If you are willing to gain some hands-on experience with Azure Data Factory, you must explore this Azure Data Factory project for Azure Text Analytics to Deploy a Medical Search Engine. Kickstart your data engineer career with end-to-end solved big data projects for beginners. PREVIOUS NEXT <

Data Engineer 40

Data Engineer Data Engineering PostgreSQL Engineering 40

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you. What is MongoDB for Data Science?

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

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. What is NoSQL?

NoSQL 52

NoSQL Database-centric MongoDB Relational Database 52

Edureka

AUGUST 26, 2024

MEAN MEAN stands for MongoDB, Express.js, Angular, and Node.js. MongoDB is a NoSQL database where data are stored in a flexible way that is similar to JSON format. MERN MERN stands for MongoDB, Express.js, React, and Node.js. MongoDB is a NoSQL database used in web development. as a framework.

MongoDB 97

MongoDB Programming Language MySQL Certification 97

Knowledge Hut

DECEMBER 26, 2023

Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.

Certification 98

Certification Programming MongoDB MySQL 98

Data Engineering Podcast

FEBRUARY 11, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure When you’re ready to launch your next project you’ll need somewhere to deploy it. Can you start by explaining what Timescale is and how the project got started? release of PostGreSQL had on the design of the project?

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

ProjectPro

JUNE 6, 2025

What is the difference between SQL and NoSQL? NoSQL supports unstructured or semi-structured data (e.g., SQL is better for complex queries and consistency; NoSQL offers flexibility and scalability. Distinguish between MongoDB and MySQL. If you plan to scale up in the future, MongoDB includes a built-in sharding option.

SQL 40

SQL MySQL MongoDB Database 40

Data Engineering Podcast

MARCH 18, 2018

Elasticsearch was built to make it easy to include search functionality in projects built in any language. Elasticsearch was built to make it easy to include search functionality in projects built in any language. Summary Search is a common requirement for applications of all varieties.

MongoDB 100

MongoDB NoSQL Machine Learning Data Engineer 100

ProjectPro

NOVEMBER 5, 2014

MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets. For organizations to keep the load off MongoDB in the production database, data processing is offloaded to Apache Hadoop.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

Grouparoo

APRIL 5, 2021

Well, I could list several advantages of a NoSQL solution over SQL-based databases and vice versa. However, the main focus of this post is to discuss a particular downside of MongoDB and a possible solution to go through it. const firstLevelFieldsResult = await db. my_collection. const docs = await db. my_collection.

MongoDB 52

MongoDB Non-relational Database NoSQL Relational Database 52

ProjectPro

JUNE 6, 2025

Here are some compelling reasons that make this career path highly appealing: Source: Marketsandmarkets.com According to the US Bureau of Labor Statistics, computer and information technology jobs, including Big Data roles, are projected to grow by 21% from 2021 to 2030, much faster than the average for all occupations.

Big Data 40

Big Data Hadoop Scala NoSQL 40

Knowledge Hut

MARCH 22, 2024

Interested in NoSQL databases? I am here to discuss MongoDB job opportunities for you in 2024 and the wide spectrum of options that it provides. But first, let’s discuss MongoDB a bit. MongoDB is the fourth most popular Database Management System (DBMS). Elevate your expertise with top-tier MongoDB courses online.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Data Engineering Podcast

MARCH 11, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure When you’re ready to launch your next project you’ll need somewhere to deploy it.

Database 100

Database MongoDB NoSQL Insurance 100

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

This blog explores the various AWS RDS instance types and their helpful use cases to help you pick the most suitable one for streamlining your data engineering projects. High-performance databases, including relational ones like MySQL and NoSQL ones like MongoDB and Cassandra. So, how do you choose the right RDS instance type?

PostgreSQL 40

PostgreSQL MySQL AWS Relational Database 40

ProjectPro

JUNE 6, 2025

Bureau of Labor Statistics projects a 22% growth rate for data engineers from 2020 to 2030, driven by the rise of big data, AI, and machine learning across various sectors. This includes understanding database management, with a focus on SQL (Structured Query Language) and NoSQL databases.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

Knowledge Hut

OCTOBER 27, 2023

In today's fast-paced technological environment, software engineers are continually seeking innovative projects to hone their skills and stay ahead of industry trends. Engaging in software engineering projects not only helps sharpen your programming abilities but also enhances your professional portfolio. cvtColor(image, cv2.COLOR_BGR2GRAY)

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

ProjectPro

JUNE 6, 2025

Use statistical methodologies and procedures to make reports Work with online database systems Improve data collection and quality procedures in collaboration with the rest of the team Kickstart your journey in the exciting domain of Data Science with these solved data science mini projects today! Don't be afraid of data Science!

Data Science 56

Data Science Data Mining Data Architect BI 56

Data Engineering Podcast

MAY 6, 2019

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Can you describe how FoundationDB is architected?

Systems 100

Systems MongoDB NoSQL Database 100

ProjectPro

JUNE 6, 2025

Data ingestion is important in any big data project because the volume of data is generally in petabytes or exabytes. Get More Practice, More Big Data and Analytics Projects , and More guidance.Fast-Track Your Career Transition with ProjectPro How Apache Flume works? Data analysis using hadoop is just half the battle won.

ETL Tools 40

ETL Tools Hadoop Relational Database Unstructured Data 40

ProjectPro

JUNE 6, 2025

Working on real-world, hands-on supply chain data science projects can help data scientists and engineers build the skills to solve these challenges and help companies bridge the talent gap. This blog will walk you through 12 interesting supply chain data science project ideas to help you get started. Supply Chain Demand Forecasting 2.

Data Science 40

Data Science Project Management Transportation 40

ProjectPro

JUNE 6, 2025

They get used in NoSQL databases like Redis, MongoDB , data warehousing. DB used in AWS MariaDB, Postgres, MongoDB, Oracle, MySQL are some common databases used in AWS. Elastic Beanstalk provides Amazon AWS resources like EC2 and builds the supported platform for the project to run. It comes packaged with Azure for free.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

Knowledge Hut

JANUARY 23, 2024

While major businesses rely on dedicated frontend and backend developers to work on diverse projects, startups also value the services of full stack engineers. Problem-Solving Prowess: Navigate complexities of APIs, implement robust security protocols, and maintain effective communication with UI/UX designers and project managers.

MongoDB 98

MongoDB Programming Language Java MySQL 98

Scott Logic

FEBRUARY 26, 2023

The easiest would be to add an Java in-memory database like H2 if you are using a SQL database or add an embedded MongoDB database, like the one provided by Flapdoodle if you are using a NoSQL storage. Add following dependancies and reload the project to load maven changes. <dependency> Wait what??

MongoDB 75

MongoDB PostgreSQL Consulting Java 75

Knowledge Hut

MAY 31, 2023

If you are interested in working on database projects in 2023, this article is for you. We'll discuss some of the top database project ideas on which you can hone your skills and gain valuable experience in database management systems, programming languages, and web development frameworks. So, Let's get started!

Database 52

Database Coding MongoDB PostgreSQL 52

ProjectPro

JUNE 6, 2025

Recommended Reading: Top 50 NLP Interview Questions and Answers 100 Kafka Interview Questions and Answers 20 Linear Regression Interview Questions and Answers 50 Cloud Computing Interview Questions and Answers HBase vs Cassandra-The Battle of the Best NoSQL Databases 3) Name few other popular column oriented databases like HBase.

Hadoop 40

Hadoop Bytes Metadata MongoDB 40

Rockset

SEPTEMBER 3, 2020

MongoDB’s Advantages & Disadvantages MongoDB has comprehensive aggregation capabilities. You can run many analytic queries on MongoDB without exporting your data to a third-party tool. In this situation, the MongoDB cluster doesn’t have to keep up with the read requests. This is never a good thing.

MongoDB 40

MongoDB PostgreSQL SQL Database 40

ProjectPro

JUNE 6, 2025

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Begin Your Big Data Journey with ProjectPro's Project-Based PySpark Online Course ! Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

Knowledge Hut

APRIL 12, 2023

Although there are similarities between the two stacks, each has unique characteristics that make it better suited for specific project types. It's critical to be aware of each stack's advantages and disadvantages when selecting one for your upcoming web development project. What is the MEAN Stack? What is the MERN Stack?

MongoDB 59

MongoDB NoSQL Architecture Non-relational Database 59