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

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

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

Rockset

JUNE 7, 2022

Traditionally, organizations have chosen relational databases like SQL Server, Oracle , MySQL and Postgres. Two popular options are MongoDB and Amazon DynamoDB , and architects often find themselves choosing between the two. In This Corner, MongoDB MongoDB is a NoSQL, document-oriented general purpose database management system.

MongoDB 52

MongoDB NoSQL Relational Database Non-relational Database 52

Rockset

JULY 9, 2019

Consider the hoops we have to jump through when working with semi-structured data, like JSON, in relational databases such as PostgreSQL and MySQL. JSON is a good match for document databases, such as MongoDB. This feature is available in some relational database systems— PostgreSQL and MySQL support columns of JSON type.

Relational Database 40

Relational Database PostgreSQL MySQL Database 40

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

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. someone manually runs a SQL create statement, etc.) How do you account for assets (e.g.

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

MARCH 5, 2022

For every table in Select Star, you can find out where the data originated, which dashboards are built on top of it, who’s using it in the company, and how they’re using it, all the way down to the SQL queries. Best of all, it’s simple to set up, and easy for both engineering and operations teams to use.

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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Rockset

AUGUST 30, 2021

The latest Rockset release, SQL-based rollups, has made real-time analytics on streaming data a lot more affordable and accessible. Anyone who knows SQL, the lingua franca of analytics, can now rollup, transform, enrich and aggregate real-time data at massive scale. That is sufficient for some use cases.

SQL 52

SQL Kafka MongoDB MySQL 52

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 Database 98

Knowledge Hut

MAY 31, 2023

Some of the most important lists of database project examples using MySQL are: Online Job Portal using Python and SQL database An online job portal is a platform that connects job seekers with potential employers. Here is a link to source codes for Online Job Portal using Python and SQL databases.

Database 52

Database Coding MongoDB Project 52

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

Knowledge Hut

APRIL 25, 2024

Therefore, developers employ MySQL, SQL, PostgreSQL, MongoDB, etc., Some of them are PostgreSQL, MySQL, MongoDB, etc. Besides, it would help if you also had a grasp on non-relational databases (NoSQL) and relational databases (SQL). Therefore, having a solid grasp of the database is essential.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Knowledge Hut

SEPTEMBER 6, 2023

Monitor and optimize operational resources in Azure SQL Optimize query performance in Azure SQL Automate database tasks for Azure SQL Plan and implement a high availability and disaster recovery environment. Passing the exam means one has gained a significant knowledge of SQL and its use while working on Oracle Database servers.

Certification 52

Certification Database MongoDB MySQL 52

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

Striim

FEBRUARY 14, 2023

Striim is a simple unified data integration and streaming platform that uniquely combines change data capture, application integration, Streaming SQL as a fully managed service that is used by the world’s top enterprises to truly deliver real-time business applications (not speculative, expensive infrastructure).

PostgreSQL 52

PostgreSQL MongoDB MySQL Kafka 52

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. Database Software- Document Store (e.g.-MongoDB):

Database 52

Database NoSQL MongoDB Telecommunication 52

Rockset

NOVEMBER 23, 2021

It is now possible to continuously capture changes as they happen in your operational database like MongoDB or Amazon DynamoDB. And with standard SQL we aim to truly democratize access to real-time insights. Change data capture streams. The problem? By indexing every field, we eliminate the need for complex data modeling.

MongoDB 59

MongoDB Data Ingestion SQL PostgreSQL 59

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

Data Engineering Weekly

JULY 2, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. Write SQL queries without learning SQL? See how it works today.

Data Engineer 52

Data Engineer Data Engineering Engineering Database-centric 52

Knowledge Hut

MARCH 15, 2024

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. Programming languages like SQL (Structured Query Language) are used to update and retrieve data from databases, among other things. Not Only SQL" is another term for NoSQL.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 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

SQL, or structured query language, is widely used for writing and querying data. Storage Format Stored in tables with rows and columns, often using SQL (Structured Query Language). Examples MySQL, PostgreSQL, MongoDB Arrays, Linked Lists, Trees, Hash Tables Scaling Challenges Scales well for handling large datasets and complex queries.

Database 52

Database Relational Database Algorithm Data Storage 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. A Full Stack Developer will deal with: SQL Databases: These are more the traditional relational databases. Popular choices are MySQL or PostgreSQL. Is Full Stack Development a good career?

MongoDB 40

MongoDB NoSQL MySQL PostgreSQL 40

Rockset

SEPTEMBER 13, 2022

It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases. This is a common practice with SQL databases to avoid SQL injection attacks. Second, the SQL code is intermingled with our application code, and it can be difficult to track over time.

SQL 52

SQL Database Relational Database NoSQL 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. Security: Implementing security measures to prevent common threats and vulnerabilities like SQL injection, cross-site scripting (XSS), and cross-site request forgery (CSRF).

MongoDB 40

MongoDB PostgreSQL MySQL Java 40

Edureka

JULY 16, 2024

Familiar server scripting languages such as PHP, Python, Ruby, and SQL are used to manage databases. Back-end developers offer mechanisms of server logic APIs and manage databases with SQL or NoSQL technological stacks in PHP, Python, Ruby, or Node. js to create APIs, locate data (SQL/NoSQL databases), and perform server-side tasks.

NoSQL 40

NoSQL PostgreSQL MongoDB Programming Language 40

Ascend.io

SEPTEMBER 14, 2023

Read More: Data Automation Engineer: Skills, Workflow, and Business Impact Python for Data Engineering Versus SQL, Java, and Scala When diving into the domain of data engineering, understanding the strengths and weaknesses of your chosen programming language is essential. Statically typed, requiring type definition upfront.

Data Engineer 52

Data Engineer Data Engineering Python Engineering 52

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

Rockset

OCTOBER 20, 2021

Using the adapter, you could now load data into Rockset and create collections by writing SQL SELECT statements in dbt. You would create a Rockset collection for each data stream, and then set up SQL-Based Rollups to perform transformations and aggregations on the data as it is written into Rockset. PostgreSQL or MySQL).

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

Knowledge Hut

DECEMBER 25, 2023

Databases are divided into two categories, which are NoSQL(MongoDB) and SQL(PostgreSQL, MySQL, Oracle) databases. So, we need to choose one backend framework from Java (Spring Framework), JavaScript (NodeJS), etc, and then also learn databases. So, you need to choose one of the databases.

Java 98

Java Database Project MongoDB 98

Rockset

JANUARY 28, 2022

For real-time analytics, the cloud-native Rockset improves upon DynamoDB by being able to simultaneously ingest massive data streams, indexing that data so it is available for queries within two seconds, and then enabling a high number of concurrent SQL queries. Results, even for complex queries, would be returned in milliseconds.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Knowledge Hut

DECEMBER 26, 2023

98,057 LEMP stack (JavaScript - Linux - Nginx - MySQL - PHP) Not available MEAN stack developer - (JavaScript - MongoDB - Express -AngularJS - Node.js) An incoming user request is processed by the AngularJS framework. to decide which non-relational NoSQL database requests to perform to MongoDB. The request is then processed by Node.js

MySQL 52

MySQL MongoDB Programming Language Computer Science 52

Knowledge Hut

DECEMBER 19, 2023

Java Build Tools: Maven, Gradle Integrated Development Environments (IDE):  Intellij IDEA, Spring Tool Suite No SQL Databases:  MongoDB, Apache Cassandra, RavenDB, Redis Relational Databases: MySQL, MS-SQL Server, Oracle, SQL Server, PostgreSQL Cloud Databases: DynamoDB, Cosmos DB Build DAO/Repository Layers:  Spring Data JPA, JPA/Hibernate Build REST (..)

Java 98

Java Programming Language Database Programming 98

Knowledge Hut

APRIL 18, 2023

can be used with databases like MySQL, MongoDB, and PostgreSQL. applications are vulnerable to some of the same security risks as other web applications, such as SQL injection and cross-site scripting (XSS) attacks. Data Handling Node.js is capable of handling data from a variety of sources, including databases and APIs.

Architecture 97

Architecture Database Coding Programming 97

Edureka

OCTOBER 10, 2024

These include: Azure Services: This is because copying volumes of data from one service to another is very easy with full support for Microsoft Azure Blob Storage, Azure Data Lake Storage Gen 1 and Gen 2, Azure SQL Data Base, and Azure Synapse Analytics. can be ingested in Azure.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40