ProjectPro

JUNE 6, 2025

From migrating data to the cloud to consolidating databases, this blog will cover a variety of data migration project ideas with best practices for successful data migration. Data migration is the process of extracting and moving data from existing databases, environments, or storage systems to another.

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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. that makes it easier to develop processes. as a framework.

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MongoDB Programming Language MySQL Certification 97

ProjectPro

JUNE 6, 2025

Microsoft Azure Data Factory Microsoft Azure Data Factory ( ADF ) is a fully-managed, serverless data integration tool for acquiring, analyzing, and processing all of your data in bulk. The store supports low-latency workloads and facilitates high-performance processing and analytics from HDFS applications and tools.

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Data Engineer Data Engineering PostgreSQL Engineering 40

U-Next

AUGUST 25, 2022

An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. What is MongoDB?

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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

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ProjectPro

JUNE 6, 2025

Use Cases for General Purpose RDS Instances The M instance family is ideal for small to medium-sized databases, memory-intensive data processing activities, cluster computing, and other enterprise applications.If High-performance databases, including relational ones like MySQL and NoSQL ones like MongoDB and Cassandra.

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PostgreSQL MySQL AWS Relational Database 40

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.

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ProjectPro

JUNE 6, 2025

Such an immense volume of data requires more than just storage; it demands complex data processing workloads to organize, manage, and analyze it effectively. They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB.

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AWS Database Amazon Web Services MySQL 40

Data Engineering Podcast

MAY 27, 2018

In this episode CTO and co-founder of Alooma, Yair Weinberger, explains how the platform addresses the common needs of data collection, manipulation, and storage while allowing for flexible processing. What are some of the complexities introduced by processing data from multiple customers with various compliance requirements?

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Data Pipeline MongoDB Scala Kafka 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.

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MongoDB Hadoop NoSQL Big Data 40

ProjectPro

JUNE 6, 2025

Recommended Reading: Data Scientist Salary-The Ultimate Guide for 2021 Data Analyst Data Analysts are responsible for collecting massive amounts of data, preparing, transforming, managing, processing, and visualizing the data for business growth. Data engineers also process collected data in batches and match its format to the stored data.

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Data Science Data Mining Data Architect BI 56

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.

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Data Engineer Data Engineering Non-relational Database Engineering 75

ProjectPro

JUNE 6, 2025

Data was being managed, queried, and processed using a popular tool- SQL! 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.

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SQL MySQL MongoDB Database 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. This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. How is Hadoop related to Big Data? How to avoid the same.

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Big Data Hadoop Relational Database NoSQL 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. What follows is an elaborate explanation on what makes MongoDB the hottest IT certification in demand.

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NoSQL MongoDB Certification Database 40

Knowledge Hut

NOVEMBER 16, 2023

The examination process consists of two major components: an essential examination and a specialty examination in the CCNP certification that the candidate has chosen. MongoDB Administrator MongoDB is a well-known NO-SQL database. MongoDB is built to handle large amounts of data while maintaining good performance.

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Technology MySQL MongoDB Google Cloud 98

Knowledge Hut

APRIL 25, 2024

In the past, this data was too large and complex for traditional data processing tools to handle. However, advances in technology have now made it possible to store, process, and analyze big data quickly and effectively. NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data.

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Big Data Technology NoSQL Hadoop 98

Rockset

AUGUST 25, 2020

In Part One , we discussed how to first identify slow queries on MongoDB using the database profiler, and then investigated what the strategies the database took doing during the execution of those queries to understand why our queries were taking the time and resources that they were taking.

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ProjectPro

JUNE 6, 2025

Apache Spark - Apache Spark is an open-source analytics engine that computes and processes large datasets. The processing happens in memory for the sake of high performance. It provides parallel processing and fault tolerance by cluster management. Use cases are in-memory caches and open-source databases.

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Cloud Computing Cloud Amazon Web Services AWS 53

Knowledge Hut

JANUARY 22, 2024

Moreover, you can also get deep insights into the basics and working of database management with the Best MongoDB Course online and enhance your already diverse abilities. A primary key uniquely identifies each row in the table, and foreign keys are used to relate this table to other tables. What is Entity Type in DBMS?

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AltexSoft

NOVEMBER 23, 2021

The traditional way of data integration involves consolidating disparate data within a single repository — commonly a data warehouse — via the extract, transform, load (ETL) process. If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT.

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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.

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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.

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Rockset

JUNE 23, 2020

To alleviate the stress on the main database, data teams often replicate data to an external database for running analytical queries. Personally, with MongoDB, moving data to a SQL-based platform is extremely beneficial for analytics. To this end, Rockset has partnered with MongoDB to release a MongoDB-Rockset connector.

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MongoDB SQL Database Computer Science 40

Edureka

AUGUST 18, 2024

Some of the back-end web frameworks are Express.js (Node.js) Django (Python) Ruby on Rails (Ruby) Laravel (PHP) Spring Boot (Java) Learning one of the back-end web frameworks is essential for the back-end development process because it makes the development process faster, more secure, and more well-organized.

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Programming Language Java Non-relational Database Database 98

ProjectPro

JUNE 6, 2025

For data transformation, deploy Mage on a Compute Engine VM, where it performs ETL processes like cleaning, aggregating, and enriching data. Ingest raw playlist data into Google Cloud Storage, process it with PySpark, and store the structured output in BigQuery. Use the ESPNcricinfo Ball-by-Ball Dataset to process match data.

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Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

If you’re searching for a way to tap into this growing field, mastering ETL processes is a critical first step. This process, known as ETL, is critical to ensuring that organizations can effectively manage, analyze, and derive insights from large volumes of data. But what does it take to become an ETL Data Engineer?

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ProjectPro

JUNE 6, 2025

But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis. Differentiate between relational and non-relational database management systems. Non-relational databases support dynamic schema for unstructured data.

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Data Engineer Data Engineering Engineering Hadoop 40

Knowledge Hut

APRIL 25, 2024

Frameworks make the process easy. The candidate must also demonstrate a fundamental understanding of how Python and Django function in caching, keeping an eye out for slow queries and developing strategies to speed up processes. Therefore, having a solid grasp of the database is essential. to manage DBMS. You may ask.

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Programming Language Java MySQL Algorithm 98

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.

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Database NoSQL MongoDB Telecommunication 52

Knowledge Hut

MAY 31, 2023

It is also one of the most important database projects for students. Top Database Project Ideas Using MongoDB MongoDB is a popular NoSQL database management system that is widely used for web-based applications. Plus, MongoDB also enables efficient indexing, which facilitates quick query execution at scale.

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Database Coding MongoDB Project 52

ProjectPro

JUNE 6, 2025

A data pipeline automates the movement and transformation of data between a source system and a target repository by using various data-related tools and processes. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

AltexSoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. Velocity is the speed at which the data is generated and processed. Key Big Data characteristics.

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Big Data Data Analytics IT NoSQL 78

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 There is a need for a database technology that can render 24/7 support to store, process and analyze this data. IT enterprises need to increase the RAM, SSD, CPU, etc.,

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NoSQL Big Data SQL Database-centric 49

ProjectPro

JUNE 6, 2025

Big Data Tools extract and process data from multiple data sources. 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. Both stream and batch real-time processing are supported.

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Big Data Tools Big Data Hadoop BI 40

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

MARCH 27, 2024

An ordered set of data kept in a computer system and typically managed by a database management system (DBMS) is called a database. Table modeling of the data in standard databases facilitates efficient searching and processing. A vital component of our lives is the database.

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