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.

MongoDB 52

MongoDB Data Lake PostgreSQL Kafka 52

Data Engineering Podcast

AUGUST 6, 2017

Contact Information Email @rywalker on Twitter Links Astronomer Kiss Metrics Segment Marketing tools chart Clickstream HIPAA FERPA PCI Mesos Mesos DC/OS Airflow SSIS Marathon Prometheus Grafana Terraform Kafka Spark ELK Stack React GraphQL PostGreSQL MongoDB Ceph Druid Aries Vault Adapter Pattern Docker Kinesis API Gateway Kong AWS Lambda Flink Redshift (..)

PostgreSQL 100

PostgreSQL MongoDB Data Pipeline Kafka 100

Christophe Blefari

FEBRUARY 23, 2024

Neurelo raises $5m seed to provide HTTP APIs on top of databases (PostgreSQL, MongoDB and MySQL). Data Economy 💰 MariaDB takeover at $37m. MariaDB is a public company and could be taken over in by an investment company. We can see it as a semantic layer but on software engineering side. Motif Analytics raises $5.7m

Data Lake 130

Data Lake PostgreSQL MongoDB MySQL 130

Data Engineering Podcast

APRIL 19, 2020

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast Summary Modern applications frequently require access to real-time data, but building and maintaining the systems that make that possible is a complex and time consuming endeavor.

Building 100

Building PostgreSQL MongoDB SQL 100

Rockset

FEBRUARY 2, 2022

MongoDB is a top database choice for application development. MongoDB wasn’t originally developed with an eye on high performance for analytics. Developers have formed ingenious solutions for real-time analytical queries on data stored in MongoDB, using in-house solutions or third-party products.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

Rockset

JUNE 7, 2022

Two popular options are MongoDB and Amazon DynamoDB , and architects often find themselves choosing between the two. In this article, we’ll compare MongoDB and Amazon DynamoDB to each other and highlight their significant differences. MongoDB’s Characteristics MongoDB is a general-purpose database.

MongoDB 52

MongoDB NoSQL Relational Database Non-relational Database 52

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. I have a PostgreSQL database in my production, and now you are asking me to test with a H2? Wait what?? from Docker Hub.

MongoDB 75

MongoDB PostgreSQL Consulting Java 75

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. In this Node.js

MongoDB 97

MongoDB Programming Language MySQL Certification 97

Data Engineering Podcast

AUGUST 5, 2019

__init__ Episode LinkedIn Slack Marquez S3 Hive Presto Podcast Episode Spark PostgreSQL Google BigQuery Neo4J Apache Atlas Tableau Superset Alation Cloudera Navigator DynamoDB MongoDB Druid The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

Data Engineering Podcast

APRIL 28, 2019

Contact Info LinkedIn @tsaha on Twitter Email tamalsaha on GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Database 100

Database PostgreSQL MongoDB MySQL 100

Data Engineering Podcast

JANUARY 13, 2020

To help other people find the show please leave a review on iTunes and tell your friends and co-workers Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Links YugabyteDB GitHub Nutanix Facebook Engineering Apache Cassandra Apache HBase Delphi FuanaDB Podcast Episode CockroachDB Podcast Episode HA == High Availability (..)

SQL 100

SQL PostgreSQL MongoDB Database 100

Data Engineering Podcast

MARCH 5, 2022

To help other people find the show please leave a review on iTunes and tell your friends and co-workers Links HarperDB @harperdbio on Twitter Mulesoft Zapier LMDB SocketIO SocketCluster MongoDB CouchDB PostgreSQL VoltDB Heroku SAP/Hana NodeJS DynamoDB CockroachDB Podcast Episode Fastify HTAP == Hybrid Transactional Analytical Processing Splunk The (..)

PostgreSQL 100

PostgreSQL MongoDB Software Engineering Software Engineer 100

Data Engineering Podcast

AUGUST 6, 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. Email hosts@dataengineeringpodcast.com ) with your story. Email hosts@dataengineeringpodcast.com ) with your story.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

OCTOBER 2, 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.

IT 100

IT Food PostgreSQL MongoDB 100

Knowledge Hut

MAY 31, 2023

Top Database Project Ideas Using MongoDB MongoDB is a popular NoSQL database management system that is widely used for web-based applications. MongoDB offers a great way to store all types of products’ attributes—structured, semi-structured, and unstructured—all in one place.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

APRIL 25, 2024

Therefore, developers employ MySQL, SQL, PostgreSQL, MongoDB, etc., Some of them are PostgreSQL, MySQL, MongoDB, etc. 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. to manage DBMS.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Hevo

MAY 23, 2023

Debezium uses connectors like PostgreSQL, SQL, MySQL, Oracle, MongoDB, and more for respective databases to stream such changes. Debezium is an open-source, distributed system that can convert real-time changes of existing databases into event streams so that various applications can consume and respond immediately.

PostgreSQL 52

PostgreSQL MongoDB MySQL SQL 52

Workfall

APRIL 6, 2023

Hands-On The repository for the code used in this blog is at [link] Pre-requisites First of all, you have to ensure that MongoDB is installed on your machine. Follow this link [link] to install your OS-compliant MongoDB. Make certain that the community edition is installed.

MongoDB 59

MongoDB Building Transportation AWS 59

Hevo

JUNE 19, 2024

Debezium uses connectors like PostgreSQL, SQL, MySQL, Oracle, MongoDB, and more for respective databases to stream such changes. Debezium is an open-source, distributed system that can convert real-time changes of existing databases into event streams so that various applications can consume and respond immediately.

PostgreSQL 40

PostgreSQL MongoDB MySQL SQL 40

Edureka

AUGUST 18, 2024

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. Using queries to SQL language and back-end nodes that communicate with databases are essential aspects of this, which form the entire impetus.

Programming Language 98

Programming Language Java Non-relational Database Database 98

Knowledge Hut

JULY 26, 2023

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. PostGIS is an open-source PostgreSQL geographic database extension.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

SEPTEMBER 6, 2023

EnterpriseDB PostgreSQL 12 Associate Certification The associated exam is CERT-DBA-001.12. One needs to complete foundations of PostgreSQL course. EnterpriseDB PostgreSQL 12 Professional Certification The associated exam is CERT-DBA-002.12. MongoDB Associate DBA Exam The associated exam is C100DBA. MongoDB aggregation.

Database 52

Database Certification MongoDB MySQL 52

Edureka

MARCH 5, 2024

Backend developers use database management systems such as MySQL, PostgreSQL, MongoDB, and Redis to securely and efficiently store and manage data. Popular Web Development Stacks The MEAN stack includes MongoDB, Express.js, Angular, and Node.js. The MERN stack comprises MongoDB, Express.js, React.js, and Node.js.

MongoDB 40

MongoDB PostgreSQL MySQL Java 40

Rockset

MARCH 26, 2023

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. PostgreSQL, MySQL, SQL Server, and even Oracle are popular choices, but there are many others that will work fine.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Edureka

JULY 12, 2024

The MERN Stack is a popular technology stack with MongoDB as the database, Express as the web framework, and React as the javascript frame: js, React, and Node. It combines four essential technologies: MongoDB, Expres.js, React, and Node. MongoDB is software that stores data in flexible documents and is in the Non-SQL category.

MongoDB 40

MongoDB MySQL PostgreSQL NoSQL 40

Knowledge Hut

MARCH 27, 2024

Examples MySQL, PostgreSQL, MongoDB Arrays, Linked Lists, Trees, Hash Tables Scaling Challenges Scales well for handling large datasets and complex queries. MongoDB: An example of a NoSQL database, organized as a collection of documents. PostgreSQL: An advanced open-source relational database system.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Rockset

MARCH 17, 2022

You might be thinking, well OLTP databases like MongoDB and PostgreSQL are mutable. You can easily do rollups on late-arriving data, add fields to your document to enrich the dataset and be in real-time sync with your transactional database.

Database 52

Database IT PostgreSQL MongoDB 52

Knowledge Hut

MARCH 15, 2024

NoSQL vs RDBMS: Examples or RDBMS vs NoSQL: when to use RDBMS: Examples: MySQL, PostgreSQL, Oracle Database. NoSQL: Examples: MongoDB, Cassandra, Redis. High Performance: Optimized for high-speed read and write operations, favoring performance over strict normalization.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Data Engineering Weekly

JULY 2, 2023

link] Timescale: PostgreSQL as a Vector Database: Create, Store, and Query OpenAI Embeddings With pgvector Vector databases are great, but it takes years to mature. MongoDB Atlas recently announced the vector search capabilities for MongoDB. Can't we use the vector feature in the existing databases?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Edureka

OCTOBER 8, 2024

Full Stack Developers are adept at working with databases, whether they are SQL-based like MySQL or No SQL like MongoDB. Popular choices are MySQL or PostgreSQL. NoSQL Databases: Some developers prefer handling data in a more flexible manner without strict schema enforcement, using NoSQL databases like MongoDB.

MongoDB 40

MongoDB NoSQL MySQL PostgreSQL 40

Edureka

JULY 16, 2024

MySQL, PostgreSQL) or NoSQL databases (e.g., MongoDB, Redis) for data modeling, querying, and optimization. Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) databases for adequate data storage and retrieval. can help streamline development chores and increase efficiency. The backend, built using Node.js

NoSQL 40

NoSQL PostgreSQL MongoDB Programming Language 40

Rockset

AUGUST 2, 2023

They used MongoDB as their metadata store to capture vessel and company data. The vessel positions data which in nature is a time series geospatial data set, was stored in both PostgreSQL and Cassandra to be able to support different use cases.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Knowledge Hut

JULY 7, 2023

As the fifth course on the list of the top 20 full-stack developer courses, the power of MEAN Stack lies within a combination of MongoDB, Express.js, AngularJS, and Node.js, which offers seamless integration and endless potential for JavaScript developers. Duration 6 Months Price The fee for this course is INR 85,000.

Certification 52

Certification MongoDB Database-centric Programming 52

Rockset

AUGUST 30, 2021

A Quick Primer on Indexing in Rockset Rockset allows users to connect real-time data sources — data streams (Kafka, Kinesis), OLTP databases (DynamoDB, MongoDB, MySQL, PostgreSQL) and also data lakes (S3, GCS) — using built-in connectors.

SQL 52

SQL Kafka MongoDB MySQL 52

Knowledge Hut

APRIL 18, 2023

can be used with databases like MySQL, MongoDB, and PostgreSQL. Data Handling Node.js is capable of handling data from a variety of sources, including databases and APIs. It provides built-in support for working with data formats such as JSON, CSV, and XML. is focused on handling UI and rendering data.

Architecture 97

Architecture Coding Database Programming 97

Edureka

MARCH 5, 2024

Among the well-liked tech stacks are: Mean Stack: MongoDB : A NoSQL database that is adaptable and scalable for managing massive volumes of data because it stores data in a format resembling JSON. MERN Stack: MongoDB: MongoDB is used for data storage, just like in the MEAN stack. Express.js : is a Node.js Express.js: Express.js

MySQL 40

MySQL MongoDB NoSQL Programming Language 40

Ascend.io

SEPTEMBER 14, 2023

Be it PostgreSQL, MySQL, MongoDB, or Cassandra, Python ensures seamless interactions. Use Case: Storing data with PostgreSQL (example) import psycopg2 conn = psycopg2.connect(dbname="mydb", compute() Data Storage Python extends its mastery to data storage, boasting smooth integrations with both SQL and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52