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

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

Knowledge Hut

DECEMBER 26, 2023

Let’s say you are working Node.js, and you need to connect to MongoDB. To be able to work with MongoDB in Node.js you need to have MongoDB driver for Node.js. is an open-source runtime environment based on Single Threaded Event Loop Model architecture, compatible with different platforms. the files on the server.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

Data Engineering Podcast

AUGUST 5, 2019

Upcoming events include the O’Reilly AI Conference, the Strata Data Conference, and the combined events of the Data Architecture Summit and Graphorum. Upcoming events include the O’Reilly AI Conference, the Strata Data Conference, and the combined events of the Data Architecture Summit and Graphorum.

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

Rockset

MARCH 17, 2022

1) Late Arriving Data in Time-Based Window Rollups ⌛️ Let's say you have a rollup that's counting events for each hour. All of a sudden, an event comes in the next day that was supposed to be processed yesterday. If your events are read-only, you have to write all the enriched-tags in a different place.

Database 52

Database IT PostgreSQL MongoDB 52

Data Engineering Podcast

JANUARY 13, 2020

Upcoming events include the Software Architecture Conference in NYC, Strata Data in San Jose, and PyCon US in Pittsburgh. Go to dataengineeringpodcast.com/conferences to learn more about these and other events, and take advantage of our partner discounts to save money when you register today.

SQL 100

SQL PostgreSQL MongoDB Database Design 100

Striim

NOVEMBER 13, 2023

Snowflake Writer: Technical Deep Dive on File-based uploads The SnowflakeWriter in Striim is a robust tool that stages events to local storage, AWS S3, or Azure Storage, then writes to Snowflake according to the defined Upload Policy. Customizable Upload Policy: Allows defining batch uploads based on event count, time intervals, or file size.

Data Ingestion 59

Data Ingestion Utilities Data Integration Data 59

Data Engineering Podcast

APRIL 28, 2019

To make it easier for startups to focus on delivering useful features Segment offers a flexible and reliable data infrastructure for your customer analytics and custom events. Understanding how your customers are using your product is critical for businesses of any size.

Database 100

Database PostgreSQL MongoDB MySQL 100

Rockset

AUGUST 2, 2023

This transition can support new use cases that require a faster way to analyze events that was not needed until now. They used MongoDB as their metadata store to capture vessel and company data. The Windward Maritime AI platform Lastly, Windward wanted to move their entire platform from batch-based data infrastructure to streaming.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Knowledge Hut

MAY 28, 2024

Heroku Postgres (SQL)- Reliable and secure PostgreSQL as Service with easy setup, encryption on saving, easy scaling, database forks, continuous protection, and more. When your app requires open socket communication to support real-time events. When you need a database that meets the exact needs of your requirements and services.

Programming Language 52

Programming Language Database PostgreSQL MongoDB 52

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", Use Case: Storing data with PostgreSQL (example) import psycopg2 conn = psycopg2.connect(dbname="mydb",

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Edureka

JANUARY 12, 2024

The Observer pattern is commonly used in various software scenarios, including implementing event handling systems, user interface updates, and decoupled communication between components in an application. Explain event loop in Node.js In Node.js, event handling is an important part of efficiently managing asynchronous operations.

NoSQL 52

NoSQL Java MongoDB Programming 52

Knowledge Hut

APRIL 18, 2023

is particularly popular among companies requiring real-time data processing, such as chat applications, gaming platforms, and streaming services, as it provides a highly scalable, event-driven architecture that can handle many simultaneous connections without blocking. can be used with databases like MySQL, MongoDB, and PostgreSQL.

Architecture 97

Architecture Database Coding Programming 97

Rockset

NOVEMBER 23, 2021

It is now possible to continuously capture changes as they happen in your operational database like MongoDB or Amazon DynamoDB. That makes it very difficult for it to stay synced in real time with the OLTP database Out-of-order event streams. The problem? In the words of our customer : “ Rockset is pure magic.

MongoDB 59

MongoDB Data Ingestion SQL PostgreSQL 59

Knowledge Hut

APRIL 3, 2023

Backend developers work with programming languages such as Java, Python, Ruby, and PHP, as well as databases such as MySQL, MongoDB, and PostgreSQL. It suggests learning popular programming languages such as Python, Java, and JavaScript, as well as understanding databases like MySQL, PostgreSQL, and MongoDB.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 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. So, late and out-of-order arrivals are trivially simple to deal with in Rockset.

SQL 52

SQL Kafka MongoDB MySQL 52

Rockset

OCTOBER 11, 2022

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. Logstash is an event processing pipeline that ingests and transforms data before sending it to Elasticsearch.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Rockset

NOVEMBER 28, 2022

It works with existing streaming systems like Apache Kafka, Amazon Kinesis, and Azure Events Hubs, making it easier than ever to build a real-time data pipeline. We’ve already built CDC-based data connectors for many common sources: DynamoDB , MongoDB , and more. Rockset was designed for this exact use case.

Data Warehouse 52

Data Warehouse PostgreSQL MongoDB Data Pipeline 52

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Klassischerweise arbeiten die Engineers am Data Warehousing für Business Intelligence oder Process Mining, wofür immer mehr Event Logs benötigt werden. Beispiele für verbreitete NoSQL-Datenbanken sind MongoDB, CouchDB, Cassandra oder Neo4J.

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Rockset

OCTOBER 20, 2021

DynamoDB or MongoDB), and relational databases (e.g. PostgreSQL or MySQL). Incremental materializations are usually best suited for event or time-series data streamed directly into Rockset. Hope you can join us for the event! Collections can also be created from other data sources including data lakes (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

Rockset

SEPTEMBER 20, 2022

Many of these services, as well as the dApps they may support, are built on transactional (OLTP) databases such as PostgreSQL, DynamoDB, MongoDB and others. The games also utilize real-time analytics to read smart contracts to “score” in-game competitions based on real-world events.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

AltexSoft

JUNE 26, 2023

They can be accumulated in NoSQL databases like MongoDB or Cassandra. Even now, in the era of ChatGPT , we still fill out paper-based documents and type numbers and words into an Excel file to capture events and record observations. Formats belonging to this category include JSON, CSV, and XML files.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

DECEMBER 5, 2023

By attending industry events, connecting with people on LinkedIn, and reaching out to your friends, family, and colleagues, you can get your foot in the door. Here are some essential hard skills for System Engineers: Proficiency in various operating systems, including Microsoft Windows Server, Linux distributions (e.g.,

Systems 52

Systems Engineering Recruitment Electronics 52

Knowledge Hut

DECEMBER 19, 2023

Amongst the most common patterns used for software architecture are, Layered patterns, Client-Server patterns, Event-driven patterns, Microkernel patterns, and Microservices patterns. It gives solutions to managing the system complexity and establishing and managing an interactive and collaborative among the components.

Java 98

Java Programming Language Architecture Database 98

Rockset

JULY 25, 2019

This is an operational analytics query because it allows the game developer to make instant decisions based on analysis of current events. In this respect, it is very similar to transactional databases like Oracle, PostgreSQL, etc. Typical examples of transactional systems are Oracle, Spanner, PostgreSQL, etc.

Software Engineer 40

Software Engineer Software Engineering Engineering PostgreSQL 40

ProjectPro

JANUARY 19, 2022

Type of Database Softwares Used for Database Management Relational Database MySQL, IBM Db2, Oracle Database, Microsoft SQL Server, PostgreSQL Graph Database Neo4J, Datastax Enterprise Graph Columnar Database HBase, MariaDB, Cassandra, Azure SQL Data Warehouse, Google BigQuery NoSQL Database Apache Cassandra, MongoDB, CouchBase, CouchDB, You don’t (..)

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JULY 27, 2021

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? It is a special stored procedure that gets called automatically in response to an event. Events can appear in multiple Hopping window result sets.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

U-Next

AUGUST 11, 2022

Depending on the data modelling need, you may need to work with relational databases (like MYSQL, db2 or PostgreSQL) or NoSQL databases (like MongoDB). Also, learning to apply Bayesian Statistics can be a big differentiator as this approach can aid in new perspectives- concerning data or events. .

Data Science 40

Data Science Relational Database PostgreSQL MongoDB 40