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

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

Rockset

AUGUST 30, 2021

Apache Kafka has made acquiring real-time data more mainstream, but only a small sliver are turning batch analytics, run nightly, into real-time analytical dashboards with alerts and automatic anomaly detection. But until this release, all these data sources involved indexing the incoming raw data on a record by record basis.

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 offers a JDBC input plugin that polls a relational database, like PostgreSQL or MySQL, for inserts and updates periodically.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 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

Rockset

JANUARY 28, 2022

Rockset works well with a wide variety of data sources, including streams from databases and data lakes including MongoDB , PostgreSQL , Apache Kafka , Amazon S3 , GCS (Google Cloud Service) , MySQL , and of course DynamoDB. Results, even for complex queries, would be returned in milliseconds.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Rockset

OCTOBER 20, 2021

For instance, let’s say you have streaming data coming in from Kafka or Kinesis. DynamoDB or MongoDB), and relational databases (e.g. PostgreSQL or MySQL). For high velocity data, most commonly coming from data streams, you can roll it up at write-time. S3 or GCS), NoSQL databases (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 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. This method offers a few enormous advantages over batch updates.

Data Warehouse 52

Data Warehouse PostgreSQL MongoDB SQL 52

Striim

NOVEMBER 13, 2023

Versatile Source Connectivity: Striim offers a wide array of streaming source connectors including databases like Oracle, Microsoft SQL Server, MongoDB, PostgreSQL, IoT streams, Kafka, and many more.

Data Ingestion 59

Data Ingestion Utilities Data Integration Data 59

Rockset

JULY 25, 2019

In this respect, it is very similar to transactional databases like Oracle, PostgreSQL, etc. For example, an OLTP system like PostgreSQL has a database server; updates arrive at the database server, which then writes it to the LOG. Typical examples of transactional systems are Oracle, Spanner, PostgreSQL, etc.

Software Engineer 40

Software Engineer Software Engineering Engineering PostgreSQL 40

Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards.

Big Data 52

Big Data Certification Hadoop Kafka 52

Databand.ai

DECEMBER 13, 2022

Follow Zach on LinkedIn 8) Shashank Mishra Data Engineer III at Expedia Group Shashank is a data engineer with over six years of experience working in service and product companies, having solved data mysteries across aviation, pharmaceutical, fintech, and telecom companies and designed scalable and optimized data pipelines to handle petabytes of data (..)

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Rockset

SEPTEMBER 13, 2022

It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases. Most relational databases, like PostgreSQL and MySQL, are row-based databases. In thinking about data layout, we'll contrast two approaches: row-based vs. column-based.

SQL 52

SQL Database Relational Database NoSQL 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? Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40