Rockset

APRIL 15, 2021

Rockset replicates the data in real-time from your primary database, including both the initial full-copy data replication into Rockset and staying in sync by continuously reading your MySQL or PostgreSQL change streams.

PostgreSQL 40

PostgreSQL MySQL Relational Database NoSQL 40

Knowledge Hut

NOVEMBER 19, 2023

Open Source Support: Many Azure services support popular open-source frameworks like Apache Spark, Kafka, and Hadoop, providing flexibility for data engineering tasks. These patterns can be used to start workflows, trigger events, or create alerts, as well as to feed data into reporting tools or store altered data for later use.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Striim

FEBRUARY 14, 2023

With Striim Developer , we’ve opened up the core pieces as a free service to stream up to 10 million events per month with an unlimited number of Streaming SQL queries. What happens when you hit your monthly 10 million event quota? You also download your pipelines as code and upgrade to Striim Cloud in a matter of clicks.

PostgreSQL 52

PostgreSQL MongoDB MySQL Kafka 52

Data Engineering Podcast

DECEMBER 23, 2018

The team at PipelineDB has built a continuous query engine that simplifies the task of computing aggregates across incoming streams of events. Given the fact that it is a plugin for PostgreSQL, what level of compatibility exists between PipelineDB and other plugins such as Timescale and Citus?

PostgreSQL 100

PostgreSQL Kafka Data Engineering Data Engineer 100

Data Engineering Podcast

MAY 10, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. Links Tinybird Carto PostgreSQL Podcast Episode PostGIS Clickhouse Podcast Episode Kafka Tornado Podcast.__init__

PostgreSQL 100

PostgreSQL Data Warehouse Data Pipeline Kafka 100

Data Engineering Podcast

JANUARY 13, 2019

release, how the use cases for timeseries data have proliferated, and how they are continuing to simplify the task of processing your time oriented events. How have the improvements and new features in the recent releases of PostgreSQL impacted the Timescale product?

Database 100

Database PostgreSQL SQL MongoDB 100

Data Engineering Podcast

JANUARY 5, 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. Pulsar, Bookkeeper, Pravega)?

Database 100

Database Kafka PostgreSQL MySQL 100

DoorDash Engineering

JANUARY 16, 2024

Storage traffic: Includes traffic from microservices to stateful systems such as Aurora PostgreSQL, CockroachDB, Redis, and Kafka. Around 20% of this cost was caused by traffic to one elastic load balancer (ELB) used for our event ingestion pipeline ( Iguazu ).

Bytes 84

Bytes Cloud Management PostgreSQL 84

Data Engineering Podcast

MARCH 15, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming.

Management 100

Management Data Warehouse PostgreSQL Kafka 100

Data Engineering Weekly

FEBRUARY 12, 2023

Historical data processing is a rare event, where 99% of the computing happens over the last 24 hours of data. link] Mixpanel: Tracking events at millisecond granularity My first reaction while reading “Historically, Mixpanel used to track events at second-level granularity.”, ”, Wait, what?

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Data Engineering Podcast

AUGUST 6, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

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

LinkedIn Engineering

MAY 11, 2023

We leveraged Iris -based alerting and an internally available event bus through which SREs could know the state of their submissions without continually interacting with the API. There was reliance on an unmanaged data layer.Redis (for caching) and PostgreSQL (as primary datastore)served as single points of failure for this product.

Management 101

Management PostgreSQL MySQL Kafka 101

Hevo

MAY 23, 2023

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. Debezium uses connectors like PostgreSQL, SQL, MySQL, Oracle, MongoDB, and more for respective databases to stream such changes.

PostgreSQL 52

PostgreSQL MongoDB MySQL SQL 52

DoorDash Engineering

AUGUST 15, 2023

As shown in Figure 1 below, BPFAgent first instruments the kernel via our eBPF probes to capture and produce events. These events then go to processors to be enriched based on process and Kubernetes information. Ultimately, the enriched events are emitted via an exporter to our data store.

Bytes 83

Bytes PostgreSQL Coding Database 83

Data Engineering Podcast

OCTOBER 14, 2019

Upcoming events include the combined events of the Data Architecture Summit and Graphorum, the Data Orchestration Summit, and Data Council in NYC. 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.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Striim

DECEMBER 8, 2023

Change Data Capture to Multiple Subscribers It is common for organizations to stream transactional data from a database to multiple consumers – whether it be different lines of the business or separate technical infrastructure (databases, data warehouses, and messaging systems like Kafka). Source (e.g., toString().equals("QATEST.DEPARTMENTS")

Kafka 64

Kafka Database Data Warehouse Data 64

Striim

JANUARY 4, 2023

On a technical level, data contracts handle schemas of entities and events. In their example, they use Docker compose to spin up a test instance of their database, a CDC pipeline (using Debezium), Kafka, and the Confluent Schema Registry. Striim is using Streaming SQL to filter tables in your PostgreSQL based on data contracts.

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

Big Data Tools

OCTOBER 5, 2021

Kafka 3.0.0 – The Apache Software Foundation needed less than one month to go from Kafka version 3.0.0-rc0 PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases. rc0 to the release of 3.0.0.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

Kafka 3.0.0 – The Apache Software Foundation needed less than one month to go from Kafka version 3.0.0-rc0 PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases. rc0 to the release of 3.0.0.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

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

DECEMBER 16, 2019

Upcoming events include the Software Architecture Conference, the Strata Data conference, and PyCon US. 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. How is the metadata itself stored and managed in Marquez?

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

Edureka

FEBRUARY 9, 2023

Apache Kafka: Apache Kafka is a decentralized publish-subscribe messaging system designed to handle data streams with high volume, high throughput, and low latency. It is ideal for use cases such as real-time data processing, data streaming, and event-driven architectures because it allows multiple consumers to read data concurrently.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Rockset

MARCH 10, 2022

To deliver real-time analytics, companies need a modern technology infrastructure that includes these three things: A real-time data source such as web clickstreams, IoT events produced by sensors, etc. A platform such as Apache Kafka/Confluent , Spark or Amazon Kinesis for publishing that stream of event data.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 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

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

Zalando Engineering

SEPTEMBER 20, 2015

Named after the Javanese word for “queue,” Saiki is built mostly in Python and includes components that provide a scalable Change Data Capture infrastructure, consume PostgreSQL replication logs, and perform other relevant tasks. Accessing : Typically a microservice or application has to push event notifications to one of our APIs.

Data Integration 40

Data Integration PostgreSQL Amazon Web Services Kafka 40

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. First, CDC theoretically allows companies to analyze and react to data in real time, as it’s generated.

Data Warehouse 52

Data Warehouse PostgreSQL MongoDB Data Pipeline 52

Zalando Engineering

FEBRUARY 6, 2019

Nakadi is a distributed event bus that implements a RESTful API abstraction on top of Kafka-like queues. Project Highlights Lionel Montrieux brought Nakadi to FOSDEM 2019. This is one of the largest open source projects released by Zalando. Try out Nakadi !

PostgreSQL 40

PostgreSQL Kafka Project Technology 40

Rockset

OCTOBER 20, 2021

For instance, let’s say you have streaming data coming in from Kafka or Kinesis. 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! S3 or GCS), NoSQL databases (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

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

Confluent

MAY 30, 2019

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®. and OpenID Connect.

Kafka 93

Kafka Cloud Data Pipeline PostgreSQL 93

Rockset

APRIL 29, 2019

As opposed to a traditional RDBMS like PostgreSQL, DynamoDB scales horizontally, obviating the need for careful capacity planning, resharding, and database maintenance. The setup requires metrics and monitoring to ensure that it is correctly processing events from the DynamoDB stream and able to write into Elasticsearch.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52

Zalando Engineering

MARCH 29, 2017

Take a look at our Tech Radar and you’ll see PostgreSQL, Kafka, React, and many other household-name projects listed there. It also contains a related framework called SwiftMonkeyPaws that provides a visualization of the generated events, increasing the usefulness of your testing.

Scala 40

Scala PostgreSQL Retail Kafka 40

Cloudera

MARCH 15, 2023

Introduction Many modern application designs are event-driven. An event-driven architecture enables minimal coupling, which makes it an optimal choice for modern, large-scale distributed systems. Send an event to notify other services about the new order. These services might be responsible for checking the inventory (eg.

PostgreSQL 89

PostgreSQL Kafka Database Data 89

Cloudera

AUGUST 10, 2022

Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. In CSP, Kafka serves as the storage streaming substrate, and Flink as the core in-stream processing engine that supports SQL and REST interfaces. Apache Kafka and SMM.

Process 87

Process Kafka PostgreSQL MySQL 87

ProjectPro

DECEMBER 10, 2021

The Azure Functions is a serverless code computation service that allows you to run code without a server on demand, such as Events and External-Invoke. GRS is more expensive than LRS, but it provides greater data resilience, even in the event of a local disruption. Define Azure Functions in detail.

BI 52

BI Cloud Computing SQL Database 52