ProjectPro

JUNE 6, 2025

FAQs on Graph Databases What is a Graph Database? A graph database is a specialized database designed to efficiently store and query interconnected data. The Key Components of a Graph Database include - Nodes represent entities or objects within the data, such as a person, a place, or a product.

Database 40

Database Database-centric Relational Database MongoDB 40

ProjectPro

JUNE 6, 2025

According to a survey by IDG, the three most popular data migration projects include - consolidating data silos (47%), migrating data to the cloud (52%), and upgrading/replacing systems(46%). Data migration helps businesses in migrating data into a single storage system, such as a cloud data warehouse, data lake , or lakehouse.

Project 40

Project Google Cloud AWS MongoDB 40

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. Enterprise-grade security is available in the store to share data for collaboration.

Data Engineer 40

Data Engineer Data Engineering PostgreSQL Engineering 40

Rockset

JUNE 7, 2022

Editor Databases are a key architectural component of many applications and services. Traditionally, organizations have chosen relational databases like SQL Server, Oracle , MySQL and Postgres. Relational databases use tables and structured languages to store data.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

ProjectPro

JUNE 6, 2025

High-performance databases, including relational ones like MySQL and NoSQL ones like MongoDB and Cassandra. In-memory databases like SAP HANA that employ analytics for business intelligence and optimal data storage formats. In-memory databases like Redis and Memcached. Relational database workloads.

PostgreSQL 40

PostgreSQL MySQL AWS Relational Database 40

ProjectPro

JUNE 6, 2025

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Types of AWS Databases AWS provides various database services, such as Relational Databases Non-Relational or NoSQL Databases Other Cloud Databases ( In-memory and Graph Databases).

AWS 40

AWS Database Amazon Web Services MySQL 40

Data Engineering Podcast

MAY 27, 2018

Links Alooma Convert Media Data Integration ESB (Enterprise Service Bus) Tibco Mulesoft ETL (Extract, Transform, Load) Informatica Microsoft SSIS OLAP Cube S3 Azure Cloud Storage Snowflake DB Redshift BigQuery Salesforce Hubspot Zendesk Spark The Log: What every software engineer should know about real-time data’s unifying abstraction by Jay (..)

Data Pipeline 100

Data Pipeline MongoDB Scala Kafka 100

Rockset

FEBRUARY 2, 2022

MongoDB is a top database choice for application development. Developers choose this database because of its flexible data model and its inherent scalability as a NoSQL database. MongoDB wasn’t originally developed with an eye on high performance for analytics.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

Knowledge Hut

JANUARY 23, 2024

MongoDB : An Overview Setting up MongoDB on Ubuntu turned out to be more challenging than I expected. If you're like me and still searching for a detailed guide on installing MongoDB on Ubuntu, you're in the right spot. MongoDB Version In this guide, we will install MongoDB 6.0 on x86_64 MongoDB 5.0

MongoDB 52

MongoDB NoSQL Non-relational Database Database 52

Knowledge Hut

NOVEMBER 16, 2023

MongoDB Administrator MongoDB is a well-known NO-SQL database. MongoDB is built to handle large amounts of data while maintaining good performance. MongoDB has emerged as a formidable competitor in the rising market for data-driven web applications in financial services, social media, retail, and healthcare.

Technology 98

Technology MySQL MongoDB Google Cloud 98

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

U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75

ProjectPro

JUNE 6, 2025

In 2024, the data engineering job market is flourishing, with roles like database administrators and architects projected to grow by 8% and salaries averaging $153,000 annually in the US (as per Glassdoor ). This project builds a comprehensive ETL and analytics pipeline, from ingestion to visualization, using Google Cloud Platform.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

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!

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

billion, and those with skills in cloud-based ETL tools and distributed systems will be in the highest demand. 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. Who is an ETL Data Engineer?

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

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. How to prepare for MongoDB Certification?

NoSQL 40

NoSQL MongoDB Certification Database 40

ProjectPro

JUNE 6, 2025

RDBMS stands for Relational Database Management System. It organizes data into tables (also called relations) which are linked using keys. Ideal for candidates expected to demonstrate both theoretical and practical knowledge of relational databases. Distinguish between MongoDB and MySQL. What is RDBMS?

SQL 40

SQL MySQL MongoDB Database 40

Knowledge Hut

APRIL 25, 2024

If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Rockset

MAY 6, 2020

The ability to get the changes that happen in an operational database like MongoDB and make them available for real-time applications is a core capability for many organizations. In the MongoDB context, change streams offer a way to use CDC with MongoDB data.

MongoDB 40

MongoDB Bytes Database Relational Database 40

ProjectPro

JUNE 6, 2025

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Map Reduce programs in cloud computing are parallel, making them ideal for executing large-scale data processing across multiple machines in a cluster. When to use MapReduce with Big Data.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

Edureka

AUGUST 18, 2024

Using queries to SQL language and back-end nodes that communicate with databases are essential aspects of this, which form the entire impetus. Two types of databases are used in the development process – Relational Databases: MySQL PostgreSQL Microsoft SQL Server Oracle Database Non-Relational Databases: MongoDB Cassandra 12.

Programming Language 98

Programming Language Java Non-relational Database Relational Database 98

Knowledge Hut

JANUARY 9, 2024

Given the high demand for cloud professionals, an increasing number of candidates are choosing cloud computing as their preferred career path. Understanding the core topics and competencies covered in these courses is essential for aspiring cloud experts to chart a successful career path in this dynamic and in-demand field.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Rockset

MARCH 26, 2023

Breaking Bad… Data Silos We haven’t quite figured out how to avoid using relational databases. Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack.

Cloud 52

Cloud PostgreSQL Kafka Relational Database 52

ProjectPro

JUNE 6, 2025

Modern cloud-based data pipelines are agile and elastic to automatically scale compute and storage resources. Data sources may include relational databases or data from SaaS (software-as-a-service) tools like Salesforce and HubSpot. 4) Scalable: Traditional pipelines struggle to cater to multiple workloads in parallel.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

Knowledge Hut

JANUARY 3, 2024

We will also explain relational database model features, usages, types, and other related aspects. And if you have a deep interest in learning about the relational model in DBMS and making a career out of it, you can go for the best MongoDB online course. What is the Relational Model in DBMS?

MongoDB 52

MongoDB Relational Database Database Certification 52

Rockset

OCTOBER 15, 2021

For many organizations, the advantages of a cloud-based database are clear. There can also be cost savings over custom and on-premises database solutions. However, not all cloud databases are created equal. And what to make of DBaaS (database as a service) offerings?

Database 52

Database Cloud Cloud Computing MongoDB 52

ProjectPro

JUNE 6, 2025

Big data tools are ideal for various use cases, such as ETL , data visualization , machine learning , cloud computing , etc. 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 40

Big Data Tools Big Data Hadoop BI 40

Knowledge Hut

JULY 26, 2023

Database Software- Document Store (e.g.-MongoDB): MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. Document store databases, such as MongoDB, are intended to store and manage data that is unstructured or semi-structured, such as documents.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

APRIL 25, 2024

Therefore, having a solid grasp of the database is essential. The backend developer must make a relational mapping for the data to be accessible when needed. Therefore, developers employ MySQL, SQL, PostgreSQL, MongoDB, etc., Some of them are PostgreSQL, MySQL, MongoDB, etc. to manage DBMS.

Programming Language 98

Programming Language Java MySQL Algorithm 98

Rockset

OCTOBER 30, 2018

All the software we wrote was deployed in Facebook's private data centers, so it was not till I started building on the public cloud that I fully appreciated its true potential. The public cloud, in contrast, provides hardware through the simplicity of API-based provisioning.

Cloud 40

Cloud IT MongoDB Hadoop 40

Cloud Academy

JANUARY 27, 2022

Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

ProjectPro

MARCH 19, 2015

As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT With Relational Database Management Systems, built-in clustering is difficult due to the ACID properties of transactions.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

AltexSoft

MAY 14, 2021

This data isn’t just about structured data that resides within relational databases as rows and columns. Based on the complexity of data, it can be moved to the storages such as cloud data warehouses or data lakes from where business intelligence tools can access it when needed. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

APRIL 12, 2023

It is an acronym that stands for MongoDB, Express.js, Angular, and Node.js "MERN" is a term that refers to a combination of technologies used in this stack, which includes MongoDB, Express.js, React.js, and Node.js. . "MERN" MongoDB is used to store the data for the application. using the MongoDB driver.

MongoDB 59

MongoDB NoSQL Architecture Non-relational Database 59

Knowledge Hut

DECEMBER 21, 2023

In the database ecosystem, Postgres is one of the top open-source databases, and one of the most widely used PSQL tools for managing PostgreSQL is pgAdmin. To run PostgreSQL instances on the Azure cloud, Azure offers Azure Database for PostgreSQL. Navicat Navicat is a GUI for MySQL, PostgreSQL, Oracle, and MongoDB.

PostgreSQL 52

PostgreSQL MySQL MongoDB SQL 52

DareData

JANUARY 30, 2023

Azure Data Factory: A cloud-based data integration service offered by Microsoft. Examples of relational databases include MySQL or Microsoft SQL Server. NoSQL databases: NoSQL databases are often used for applications that require high scalability and performance, such as real-time web applications.

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52