Rockset

FEBRUARY 10, 2022

MongoDB is one of the most popular databases for modern applications. Developers can build applications more quickly because of this flexibility and also have multiple deployment options, from the cloud MongoDB Atlas offering through to the open-source Community Edition. MongoDB stores each record as a document with fields.

MongoDB 52

MongoDB SQL Database Data 52

ProjectPro

JUNE 6, 2025

Project Idea: You can use the Resume Dataset available on Kaggle to build this model. This dataset contains only two columns - job title and the candidate’s resume information. Tools and Libraries: Python, NLTK Dataset: Kaggle Resume Dataset Experience Hands-on Learning with the Best Course for MLOps 2.

Project 98

Project Datasets Deep Learning Machine Learning 98

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

Hevo

AUGUST 17, 2023

Are you looking to migrate your data from MongoDB Atlas to MySQL? Migrating data from MongoDB Atlas to MySQL can be a complex process, especially when handling large datasets and different database structures. However, moving data from MongoDB Atlas to MySQL can help you leverage SQL querying […]

MongoDB 52

MongoDB MySQL Datasets SQL 52

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?

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

ProjectPro

JUNE 6, 2025

You'll also learn Docker, MongoDB integration, and container orchestration to deploy a scalable, end-to-end data pipeline. This dataset, containing over 200K product reviews from customers across five countries between 1995 and 2015, is a valuable asset for machine learning and natural language processing applications.

AWS 60

AWS Project Food Cloud Computing 60

ProjectPro

JUNE 6, 2025

Project Idea: Start data engineering pipeline by sourcing publicly available or simulated Uber trip datasets, for example, the TLC Trip record dataset.Use Python and PySpark for data ingestion, cleaning, and transformation. Project Idea : Leverage Spotify's public datasets or simulated user activity data to identify listening patterns.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

Rockset

JULY 16, 2020

MongoDB is the most popular NoSQL database today, by some measures, even taking on traditional SQL databases like MySQL, which have been the de facto standard for many years. MongoDB’s document model and flexible schemas allow for rapid iteration in applications.

MongoDB 52

MongoDB IT NoSQL SQL 52

ProjectPro

JUNE 6, 2025

Data Redundancy Data duplication during data migration can occur when generating staging or intermediate datasets. You can use any sample healthcare dataset from Kaggle for this project. Use any Sales dataset from Kaggle to create an Excel spreadsheet for this project. Read the mainframe dataset first and then convert it to ORC.

Project 40

Project Google Cloud AWS MongoDB 40

ProjectPro

JUNE 6, 2025

Performance: Graph databases are optimized for traversing and querying relationships, delivering exceptional performance even with massive datasets. These databases excel in use cases requiring real-time calculations, machine learning , or complex queries on vast datasets with billions of nodes and edges.

Database 40

Database Database-centric Relational Database MongoDB 40

Knowledge Hut

MARCH 22, 2024

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). Significantly, MongoDB has witnessed an influencing growth of 163% in the last two years!

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

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

Monte Carlo

OCTOBER 31, 2024

Get familiar with data warehouses, data lakes, and data lakehouses, including MongoDB , Cassandra, BigQuery, Redshift and more. Handling Large, Unstructured Data AI data engineers are often faced with the myriad complexities that come with managing and preparing massive datasets for machine learning and AI applications.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

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

ProjectPro

JUNE 6, 2025

By supporting ANSI SQL, Google BigQuery enables customers to execute SQL queries on enormous datasets to manage business transactions, carry out data analytics, and perform various other tasks. To create a view, you must first create a dataset. Once that dataset has been created, you can create a view. If so, how?

Google Cloud 40

Google Cloud Cloud Storage SQL MongoDB 40

ProjectPro

JUNE 6, 2025

If you are willing to gain some hands-on experience with Azure Databricks, you must explore this Databricks project to Analyse Yelp Dataset with Spark & Parquet Format on Azure Databricks. You can gain automatic and immediate scalability with single-digit millisecond reads and writes and 99.999 percent availability for NoSQL data.

Data Engineer 40

Data Engineer Data Engineering PostgreSQL Engineering 40

ProjectPro

JUNE 6, 2025

Also, assume that each first name in the dataset is distinct. Distinguish between MongoDB and MySQL. MongoDB MySQL MongoDB is the right choice when you require high data availability with automatic, quick, and immediate data recovery. If you plan to scale up in the future, MongoDB includes a built-in sharding option.

SQL 40

SQL MySQL MongoDB Data 40

Data Engineering Podcast

NOVEMBER 20, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. From analyzing your metadata, query logs, and dashboard activities, Select Star will automatically document your datasets.

Systems 130

Systems Metadata MongoDB Data Pipeline 130

Rockset

JUNE 23, 2020

Personally, with MongoDB, moving data to a SQL-based platform is extremely beneficial for analytics. Most data practitioners understand how to write SQL queries, however MongoDB’s query language isn’t as intuitive so will take time to learn. To this end, Rockset has partnered with MongoDB to release a MongoDB-Rockset connector.

MongoDB 40

MongoDB SQL Database Computer Science 40

ProjectPro

JUNE 6, 2025

Also, assume that each first name in the dataset is distinct. Distinguish between MongoDB and MySQL. MongoDB MySQL MongoDB is the right choice when you require high data availability with automatic, quick, and immediate data recovery. If you plan to scale up in the future, MongoDB includes a built-in sharding option.

SQL 40

SQL MySQL MongoDB Database 40

ProjectPro

JUNE 6, 2025

Is MongoDB better than PostgreSQL in terms of performance? It's difficult to determine whether MongoDB is significantly faster than PostgreSQL since database performance depends on numerous parameters. SQL is a Relational Database, while MongoDB is a Document Database. They significantly differ in terms of design and function.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

They develop and implement Hadoop-based solutions to manage and analyze massive datasets efficiently. They uncover valuable insights, patterns, and trends within these datasets, which can inform critical business decisions. Participate in real-world Big Data projects or create your datasets to work on.

Big Data 40

Big Data Hadoop Scala NoSQL 40

Knowledge Hut

APRIL 25, 2024

There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. These four fields are at the forefront of big data technology and are essential for understanding and managing large datasets.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Rockset

MAY 19, 2020

Rockset has teamed up with MongoDB so you can build real-time apps with data across MongoDB and other sources. It’s important to note that this is a sample app to show how MongoDB can integrate with Rockset and demo Rockset’s super powers of building APIs. Rockset has secure read-only access to MongoDB Atlas.

MongoDB 40

MongoDB Python Database SQL 40

Data Engineering Podcast

JULY 3, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. What if you could mimic your entire production database to create a realistic dataset with zero sensitive data?

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

AUGUST 5, 2019

Once a dataset has been located, how does Amundsen simplify the process of accessing that data for analysis or further processing? Once a dataset has been located, how does Amundsen simplify the process of accessing that data for analysis or further processing? Can you talk through an example workflow for someone using Amundsen?

MongoDB 100

MongoDB PostgreSQL Metadata Media 100

Data Engineering Podcast

JUNE 26, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. What if you could mimic your entire production database to create a realistic dataset with zero sensitive data?

Data Management 100

Data Management Management MongoDB Scala 100

Rockset

OCTOBER 1, 2020

The data sources available include: users (MongoDB): Core customer data such as name, age, gender, address. online_orders (MongoDB): Online purchase data including product details and delivery addresses. instore_orders (MongoDB): In-store purchase data again including product details and store location. SELECT users.id

MongoDB 40

MongoDB Kafka Building Data Warehouse 40

Data Engineering Podcast

MAY 15, 2022

With Select Star’s data catalog, a single source of truth for your data is built in minutes, even across thousands of datasets. With Select Star’s data catalog, a single source of truth for your data is built in minutes, even across thousands of datasets. You’ll also get a swag package when you continue on a paid plan.

Designing 100

Designing MongoDB AWS SQL 100

ProjectPro

JUNE 6, 2025

Arghya, during our podcast, highlighted the following five ways to leverage GenAI for more effective loan approval: Data Augmentation: Generative techniques like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) can create synthetic data that closely resembles the original training dataset. The result?

Banking 52

Banking Finance Datasets Algorithm 52

Data Engineering Podcast

MARCH 5, 2022

With Select Star’s data catalog, a single source of truth for your data is built in minutes, even across thousands of datasets. With Select Star’s data catalog, a single source of truth for your data is built in minutes, even across thousands of datasets. You’ll also get a swag package when you continue on a paid plan.

MongoDB 100

MongoDB PostgreSQL Software Engineer Software Engineering 100

Data Engineering Podcast

JULY 31, 2022

This is easy to achieve when you are working on small datasets, but as they scale up beyond what can fit on a single machine those short iterations quickly become long and tedious. Summary Exploratory data analysis works best when the feedback loop is fast and iterative.

Data Analysis 100

Data Analysis MongoDB Scala MySQL 100

ProjectPro

JUNE 6, 2025

MapReduce is a Hadoop framework used for processing large datasets. Another name for it is a programming model that enables us to process big datasets across computer clusters. It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

They do it using big datasets acquired by data analysts and data scientists. Data Storyteller - Key Skills Excellent data visualization skills Expertise in tools such as Microsoft Excel and Powerpoint Knowledge of BI and design tools Communication skills Ability to craft a meaningful narrative from the given dataset.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

You can use the dogs-cats Kaggle dataset to start with a simple cat-dog classification problem for this TensorFlow project or dive directly into a multi-class classification problem using the Intel Image Classification dataset on Kaggle. Additionally, you will learn how to integrate Spark with Kafka and MongoDB.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

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 Architecture An efficient data pipeline requires dedicated infrastructure; it has several components that help you process large datasets.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

Learning NoSQL databases like MongoDB or Cassandra will also expand your skills, as they are used to handle unstructured and semi-structured data, common in big data environments. AWS Glue offers scalability, high performance, and the ability to handle large datasets seamlessly.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40