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

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. They generate real-time big data that will help businesses serve their customers better through intense analytic processes. billionby 2020, recording a CAGR of 35.1% during 2014 - 2020.

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Big Data Data Analysis NoSQL Deep Learning 40

Hevo

AUGUST 27, 2024

With the rise of modern data tools, real-time data processing is no longer a dream. The ability to react and process data has become critical for many systems. Over the past few years, MongoDB has become a popular choice for NoSQL Databases.

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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

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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?

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MongoDB Data Science NoSQL ETL Tools 52

ProjectPro

JUNE 6, 2025

Transactional vs. Analytical Processing (OLTP vs. OLAP) Consider whether your application requires Online Transactional Processing (OLTP) , Online Analytical Processing (OLAP) capabilities, or both. Query Languages and Performance The choice of graph query language can significantly impact your development process.

Database 40

Database Database-centric Relational Database MongoDB 40

Monte Carlo

OCTOBER 31, 2024

Essential Skills for AI Data Engineers Expertise in Data Pipelines and ETL Processes A foundational skill for data engineers? That means you need to know crucial ETL and ELT processes to extract, transform, and load data not only for traditional data pipelines, but for pipelines supporting AI and ML models as well.

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Data Engineering Data Engineer Engineering Unstructured Data 52

Workfall

NOVEMBER 29, 2022

Reading Time: 10 minutes MongoDB is one of the most popular No-SQL databases in the developer community today. In this blog, we will demonstrate how to connect to MongoDB using Mongoose and MongoDB Atlas in Node.js. In this blog, we will cover: What is MongoDB? In this blog, we will cover: What is MongoDB?

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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?

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NoSQL Database-centric Relational Database MongoDB 52

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

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.

Data Engineering 40

Data Engineering Data Engineer PostgreSQL Engineering 40

Knowledge Hut

DECEMBER 26, 2023

Every recruiting agency and organizational HR recruiting team has put in place a thorough screening process, and this active hiring in startups, SMEs, and multinational companies has raised the bar for many aspiring programmers. Also, you will get to know about the various C++ standard libraries through this certification process.

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Certification Programming MongoDB MySQL 98

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. Third, there are no relational joins available in MongoDB.

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MongoDB NoSQL Data Warehouse BI 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. that makes it easier to develop processes. as a framework.

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MongoDB Programming Language MySQL Certification 97

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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MongoDB Architecture NoSQL MySQL 40

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.

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MongoDB Project Database-centric NoSQL 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

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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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Data Engineering Podcast

FEBRUARY 11, 2018

Contact Info Ajay LinkedIn @acoustik on Twitter Timescale Blog Mike Website LinkedIn @michaelfreedman on Twitter Timescale Blog Timescale Website @timescaledb on Twitter GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Rockset

JULY 28, 2022

MongoDB has grown from a basic JSON key-value store to one of the most popular NoSQL database solutions in use today. These attributes have caused MongoDB to be widely adopted especially alongside JavaScript web applications. And you have now introduced another process that has to run, be monitored, scale etc.

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Data Engineering Podcast

MARCH 11, 2018

Links Database Refactoring Website Book Thoughtworks Martin Fowler Agile Software Development XP (Extreme Programming) Continuous Integration The Book Wikipedia Test First Development DDL (Data Definition Language) DML (Data Modification Language) DevOps Flyway Liquibase DBMaintain Hibernate SQLAlchemy ORM (Object Relational Mapper) ODM (Object Document (..)

Database 100

Database MongoDB NoSQL Insurance 100

ProjectPro

JUNE 6, 2025

A Big Data Developer is a specialized IT professional responsible for designing, implementing, and managing large-scale data processing systems that handle vast amounts of information, often called "big data." What industry is big data developer in? What is a Big Data Developer? Why Choose a Career as a Big Data Developer? Billion by 2026.

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Big Data Hadoop Scala NoSQL 40

Rockset

SEPTEMBER 25, 2020

According to over 40,000 developers, MongoDB is the most popular NOSQL database in use right now. From a developer perspective, MongoDB is a great solution for supporting modern data applications. This blog post will look at three of them: tailing MongoDB with an oplog, using MongoDB change streams, and using a Kafka connector.

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MongoDB Kafka Database NoSQL 52

ProjectPro

JUNE 6, 2025

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

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SQL MySQL MongoDB Database 40

Rockset

JUNE 16, 2020

MongoDB.live took place last week, and Rockset had the opportunity to participate alongside members of the MongoDB community and share about our work to make MongoDB data accessible via real-time external indexing. We would be responsible for building and maintaining pipelines from these sources to MongoDB.

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MongoDB Data Lake PostgreSQL Kafka 52

Knowledge Hut

JANUARY 23, 2024

As an expert, I highly recommend MongoDB as an open-source and widely adopted document-oriented NoSQL database designed for efficiently storing large-scale data. Installing and using MongoDB has become essential for web developers due to its growing popularity and the seamless manner in which it allows efficient data management.

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MongoDB Database NoSQL Architecture 52

Rockset

JULY 14, 2020

Using Rockset to index data from their transactional MongoDB system , StoryFire powers complex aggregation and join queries for their social and leaderboard features. By moving read-intensive services off MongoDB to Rockset, StoryFire is able to solve two hard challenges: performance and scale.

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MongoDB NoSQL SQL Architecture 52

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

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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Data Engineering Data Engineer Engineering ETL Tools 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

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.

MongoDB 40

MongoDB NoSQL SQL Relational Database 40

Rockset

JULY 21, 2022

All interactions are streamed in the form of semi-structured events into Firebase’s NoSQL cloud database, where the data, which includes a large number of nested objects and arrays, is ingested. We ended up deploying a real-time analytics platform, Rockset , on top of MongoDB. It feels like magic!

NoSQL 52

NoSQL MongoDB IT SQL 52

ProjectPro

JUNE 6, 2025

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Big data systems are popular for processing huge amounts of unstructured data from multiple data sources. Data analysis using hadoop is just half the battle won.

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ETL Tools Hadoop Relational Database Unstructured Data 40

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.

PostgreSQL 40

PostgreSQL MySQL AWS Relational Database 40

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. They get used in NoSQL databases like Redis, MongoDB , data warehousing.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

Rockset

NOVEMBER 12, 2020

Offloading analytics from MongoDB establishes clear isolation between write-intensive and read-intensive operations. In most scenarios, MongoDB can be used as the primary data storage for write-only operations and as support for quick data ingestion. If you have static data in MongoDB, you may need a one-time sync.

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MongoDB NoSQL Data Pipeline Data Storage 40

ProjectPro

JUNE 6, 2025

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model. How to avoid the same.

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Big Data Hadoop Relational Database AWS 40