Kafka and PostgreSQL - Data Engineering Digest

End-to-End Data Engineering System on Real Data with Kafka, Spark, Airflow, Postgres, and Docker

Towards Data Science

FEBRUARY 9, 2024

This involves getting data from an API and storing it in a PostgreSQL database. Overview Let’s break down the data pipeline process step-by-step: Data Streaming: Initially, data is streamed from the API into a Kafka topic. The data directory contains the last_processed.json file which is crucial for the Kafka streaming task.

Kafka

Kafka Data Engineering Data Engineer PostgreSQL

Data Engineering Project: Stream Edition

Start Data Engineering

SEPTEMBER 26, 2020

Table of Contents Table of Contents Introduction Project description and requirements Infrastructure overview Apache Flink Apache Kafka Design Detect fraudulent accounts Log account actions Prerequisites Code Defining dependencies Inheritance Server logs generator Defining data flow in Apache Flink Create a streaming environment Creating a consumer (..)

Data Engineering

Data Engineering Data Engineer Project Engineering

Easier Stream Processing On Kafka With ksqlDB

Data Engineering Podcast

MARCH 2, 2020

The ksqlDB project was created to address this state of affairs by building a unified layer on top of the Kafka ecosystem for stream processing. Developers can work with the SQL constructs that they are familiar with while automatically getting the durability and reliability that Kafka offers. How is ksqlDB architected?

Kafka

Kafka Process PostgreSQL MySQL

Webinars

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Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow

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 ®. The pipe symbol | (i.e.,

Kafka

Kafka Cloud Data Pipeline PostgreSQL

Getting Started with Rust and Apache Kafka

Confluent

OCTOBER 24, 2019

We’ll also take a look at some performance tests to see if Rust might be a viable alternative for Java applications using Apache Kafka ®. In this case, that means a command is created for a particular action, which will be assigned to a Kafka topic specific for that action. On May 15, 2015, the Core Kafka team released version 1.0

Kafka

Kafka Java Banking Bytes

?? On Track with Apache Kafka – Building a Streaming ETL Solution with Rail Data

Confluent

OCTOBER 16, 2019

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers. Ingesting the data.

Kafka

Kafka Building Data Coding

Kafka Connect Deep Dive – JDBC Source Connector

Confluent

FEBRUARY 12, 2019

One of the most common integrations that people want to do with Apache Kafka ® is getting data in from a database. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. Here, I’m going to dig into one of the options available—the JDBC connector for Kafka Connect. Introduction.

Kafka

Kafka MySQL Bytes Java

Kafka Vs. PostgreSQL: How We Implemented Our Queueing System Using PostgreSQL

RudderStack

MAY 12, 2021

Which one is better the Kafka or PostgreSQL for the implementation. RudderStack shows the concept behind the queueing System and how it is implemented.

PostgreSQL

PostgreSQL Kafka Systems IT

Reliable Data Exchange with the Outbox Pattern and Cloudera DiM

Cloudera

MARCH 15, 2023

This external consumer can be an asynchronous process that scans the “outbox” table or the database logs for new entries, and sends the message to an event bus, such as Apache Kafka. When defining a schema for our database table, it is important to think about what fields are needed to process and route the messages to Kafka.

PostgreSQL

PostgreSQL Kafka Database Data

TimescaleDB: Fast And Scalable Timeseries with Ajay Kulkarni and Mike Freedman - Episode 18

Data Engineering Podcast

FEBRUARY 11, 2018

release of PostGreSQL had on the design of the project? release of PostGreSQL had on the design of the project? Can you start by explaining what Timescale is and how the project got started? The landscape of time series databases is extensive and oftentimes difficult to navigate. What impact has the 10.0 What impact has the 10.0

PostgreSQL

PostgreSQL NoSQL Google Cloud MongoDB

Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Data Engineering Podcast

OCTOBER 15, 2023

To help other people find the show please leave a review on Apple Podcasts and tell your friends and co-workers Links Decodable Podcast Episode Flink Podcast Episode Debezium Podcast Episode Kafka Redpanda Podcast Episode Kinesis PostgreSQL Podcast Episode Snowflake Podcast Episode Databricks Startree Pinot Podcast Episode Rockset Podcast Episode Druid (..)

Process

Process Building SQL BI

Continuously Query Your Time-Series Data Using PipelineDB with Derek Nelson and Usman Masood - Episode 62

Data Engineering Podcast

DECEMBER 23, 2018

Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Your host is Tobias Macey and today I’m interviewing Usman Masood and Derek Nelson about PipelineDB, an open source continuous query engine for PostgreSQL Interview Introduction How did you get involved in the area of data management?

PostgreSQL

PostgreSQL Kafka Data Engineering Data Engineer

Getting Started with Cloudera Stream Processing Community Edition

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

Process Kafka PostgreSQL MySQL

TimescaleDB: The Timeseries Database Built For SQL And Scale - Episode 65

Data Engineering Podcast

JANUARY 13, 2019

How have the improvements and new features in the recent releases of PostgreSQL impacted the Timescale product? How have the improvements and new features in the recent releases of PostgreSQL impacted the Timescale product? Have you been able to leverage some of the native improvements to simplify your implementation?

Database

Database PostgreSQL SQL MongoDB

Ingest Data Faster, Easier and Cost-Effectively with New Connectors and Product Updates

Snowflake

JUNE 13, 2024

Snowflake is launching native integrations with some of the most popular databases, including PostgreSQL and MySQL. You soon will be able to try out the Snowflake Connectors for PostgreSQL or MySQL by installing them from Snowflake Marketplace and downloading the agent from Docker Hub.

Data Ingestion

Data Ingestion MySQL PostgreSQL Data Pipeline

Data News — Week 23.27

Christophe Blefari

JULY 8, 2023

Read dbt metrics documentation As an extension I've seen 2 things this week that I feel makes sense here: VulcanSQL — A data API framework for DuckDB, Snowflake, BigQuery, PostgreSQL. The best way to describe it is: this is a Kafka alternative. Redpanda raises $100m in Series C. Redpanda is a great product for developers.

Kafka

Kafka PostgreSQL Data Transportation

Astronomer with Ry Walker - Episode 6

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 (..)

MongoDB

MongoDB PostgreSQL Data Pipeline Kafka

ThreatStack: Data Driven Cloud Security with Pete Cheslock and Patrick Cable - Episode 25

Data Engineering Podcast

APRIL 1, 2018

I understand that your original architecture used RabbitMQ as your ingest mechanism, which you then migrated to Kafka. I understand that your original architecture used RabbitMQ as your ingest mechanism, which you then migrated to Kafka. What was your initial motivation for that change? What was your initial motivation for that change?

Amazon Web Services

Amazon Web Services Cloud PostgreSQL Kafka

Building Real Time Applications On Streaming Data With Eventador

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

Building PostgreSQL MongoDB SQL

PrestoDB and Starburst Data with Kamil Bajda-Pawlikowski - Episode 32

Data Engineering Podcast

MAY 20, 2018

Links Starburst Data Presto Hadapt Hadoop Hive Teradata PrestoCare Cost Based Optimizer ANSI SQL Spill To Disk Tempto Benchto Geospatial Functions Cassandra Accumulo Kafka Redis PostGreSQL The intro and outro music is from The Hug by The Freak Fandango Orchestra / {CC BY-SA]([link] Support Data Engineering Podcast

PostgreSQL

PostgreSQL Hadoop SQL Kafka

Building a Scalable Search Architecture

Confluent

JUNE 18, 2019

Disclaimer: There are nice projects around like PostgreSQL full-text search that might be enough for your use case, and you should certainly consider them. Distributed transactions are very hard to implement successfully, which is why we’ll introduce a log-inspired system such as Apache Kafka ®.

Architecture

Architecture Building Kafka Database-centric

Change Data Capture For All Of Your Databases With Debezium

Data Engineering Podcast

JANUARY 5, 2020

How has the tight coupling with Kafka impacted the direction and capabilities of Debezium? How has the tight coupling with Kafka impacted the direction and capabilities of Debezium? What are some of the other options on the market for handling change data capture? What, if any, other substrates does Debezium support (e.g.

Database

Database Kafka PostgreSQL MySQL

Paving The Road For Fast Analytics On Distributed Clouds With The Yellowbrick Data Warehouse

Data Engineering Podcast

MAY 27, 2021

Links Yellowbrick Teradata Rainstor Distributed Cloud Hybrid Cloud SwimOS Podcast Episode Kafka Pulsar Podcast Episode Snowflake Podcast Episode AWS Redshift MPP == Massively Parallel Processing Presto Trino Podcast Episode L3 Cache NVMe Reactive Programming Coroutine Star Schema Denodo Lexis Nexis Vertica Netezza Grenplum PostgreSQL Podcast Episode (..)

Data Warehouse

Data Warehouse Cloud PostgreSQL Kafka

Data News — Week 23.24

Christophe Blefari

JUNE 16, 2023

Change Data Capture (CDC) with PostgreSQL and ClickHouse — This is a nice vendor post about CDC with Kafka as movement layer (using Debezium). — Marie wrote best practices for establishing complete and reliable data documentation. The post explains well the architecture you need to make it work.

Programming Language

Programming Language SQL PostgreSQL Data

Combining Transactional And Analytical Workloads On MemSQL with Nikita Shamgunov - Episode 51

Data Engineering Podcast

OCTOBER 9, 2018

Links MemSQL NewSQL Microsoft SQL Server St. Links MemSQL NewSQL Microsoft SQL Server St.

PostgreSQL

PostgreSQL BI Machine Learning Data Warehouse

Building A Real Time Event Data Warehouse For Sentry

Data Engineering Podcast

NOVEMBER 26, 2019

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 Sentry Podcast.__init__

Data Warehouse

Data Warehouse Building PostgreSQL Kafka

Making Analytical APIs Fast With Tinybird

Data Engineering Podcast

MAY 10, 2021

Links Tinybird Carto PostgreSQL Podcast Episode PostGIS Clickhouse Podcast Episode Kafka Tornado Podcast.__init__ Links Tinybird Carto PostgreSQL Podcast Episode PostGIS Clickhouse Podcast Episode Kafka Tornado Podcast.__init__

PostgreSQL

PostgreSQL Data Warehouse Data Pipeline Kafka

Inside Agoda’s Private Cloud - Exclusive

The Pragmatic Engineer

JUNE 13, 2023

For transactional databases, it’s mostly the Microsoft SQL Server, but also other databases like PostgreSQL, ScyllaDB and Couchbase. Here’s a breakdown of employee numbers from Idan: Tens of people (between 10 and 30) maintaining hardware 25-30 people maintaining data infrastructure like Kafka or RabbitMQ.

Cloud

Cloud Database Utilities BI

Powering Real-Time Analytics at Scale on MySQL and PostgreSQL

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

PostgreSQL MySQL Relational Database NoSQL

Managing The DoorDash Data Platform

Data Engineering Podcast

MARCH 15, 2021

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 How DoorDash is Scaling its Data Platform to Delight Customers and Meet our Growing Demand DoorDash Uber Netscape Netflix Change Data Capture Debezium Podcast (..)

Management

Management Data Warehouse PostgreSQL Kafka

Streaming Heterogeneous Databases with Kafka Connect – The Easy Way

Confluent

AUGUST 11, 2020

Building a Cloud ETL Pipeline on Confluent Cloud shows you how to build and deploy a data pipeline entirely in the cloud. However, not all databases can be in the […].

Database

Database Kafka Data Pipeline Cloud

DBLog: A Generic Change-Data-Capture Framework

Netflix Tech

DECEMBER 17, 2019

In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. In order to be supported, a database is required to fulfill a set of features that are commonly available in systems like MySQL, PostgreSQL, MariaDB, and others. For example in PostgreSQL RDS, changes can only be captured from the master.

MySQL

MySQL PostgreSQL Database Transportation

Metal as a Service (MaaS): DIY server-management at scale

LinkedIn Engineering

MAY 11, 2023

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. Managing data replication for data in PostgreSQL could have been more robust. We decided to leverage Kafka as a distributed messaging queue.

Management

Management PostgreSQL MySQL Kafka

Why RudderStack Used Postgres Over Apache Kafka for Streaming Engine

RudderStack

MAY 12, 2021

Finally RudderStack keys "Why they did not prefer Apache Kafka over PostgreSQL for building RudderStack?". Focuses on the challenges using Apache Kafka

Kafka

Kafka PostgreSQL Engineering Building

DBLog: A Generic Change-Data-Capture Framework

Netflix Tech

DECEMBER 17, 2019

In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. In order to be supported, a database is required to fulfill a set of features that are commonly available in systems like MySQL, PostgreSQL, MariaDB, and others. For example in PostgreSQL RDS, changes can only be captured from the master.

MySQL

MySQL PostgreSQL Database Transportation

Keeping Your Data Warehouse In Order With DataForm

Data Engineering Podcast

OCTOBER 14, 2019

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 DataForm YCombinator DBT == Data Build Tool Podcast Episode Fishtown Analytics Typescript Continuous Integration Continuous Delivery BigQuery Snowflake DB (..)

Data Warehouse

Data Warehouse PostgreSQL AWS Programming Language

A decade of scaling (real-time) analytics and master data at Picnic

Picnic Engineering

MARCH 28, 2025

We started with PostgreSQL, laying the foundation for structured analytics early on. Seven years on, the transformation isclear: Top-tier DataOps tools: Snowflake, dbt, Terraform, ClickHouse, Kafka, dbt-score. The Turning Point: Year3 At Picnic we had a Data Warehouse from the start, from the very first order.

Data Warehouse

Data Warehouse PostgreSQL Python Machine Learning

Solving Data Lineage Tracking And Data Discovery At WeWork

Data Engineering Podcast

DECEMBER 16, 2019

What are the benefits of using PostgreSQL as the system of record for Marquez? What are the benefits of using PostgreSQL as the system of record for Marquez? Can you explain how Marquez is architected and how the design has evolved since you first began working on it? How is the metadata itself stored and managed in Marquez?

Metadata

Metadata PostgreSQL Datasets Data Warehouse

Optimize Your Machine Learning Development And Serving With The Open Source Vector Database Milvus

Data Engineering Podcast

AUGUST 6, 2022

To help other people find the show please leave a review on Apple Podcasts and tell your friends and co-workers Links Milvus Zilliz Linux Foundation/AI & Data MySQL PostgreSQL CockroachDB Pilosa Podcast Episode Pinecone Vector DB Podcast Episode Vector Embedding Reverse Image Search Vector Arithmetic Vector Distance SIGMOD Tensor Rotation Matrix (..)

Machine Learning

Machine Learning Database MySQL MongoDB

Data Engineering Weekly #157

Data Engineering Weekly

FEBRUARY 4, 2024

The solution centered around Notebook opens a Flink Session for the Kafka stream and continues the exploration. It opens some old memory; try to solve this problem first with Presto-Kafka connector and then using OLAP engines like Druid & Apache Pinot. How are you analyzing the cost of your infrastructure?

Data Engineering

Data Engineering Data Engineer Engineering PostgreSQL

Event First Development - Moving Towards Kafka Pipeline Applications

Zalando Engineering

OCTOBER 9, 2017

Initially, we built a quick prototype of the data services - primitive CRUD-type services, with synchronous HTTP APIs, each interacting directly with a simple (dedicated) PostgreSQL database as the operational store for the data. Outbound events were generated after completion of DB updates. all primed from the single eventing platform.

Kafka

Kafka PostgreSQL Database Architecture

Materialized Views in SQL Stream Builder

Cloudera

MARCH 23, 2023

An MV is a special type of sink that allows us to output data from our query into a tabular format persisted in a PostgreSQL database. A sink could be another data stream or we could use a special type of data sink we call a materialized view (MV). We can also query this data later, optionally with filters using SSBs REST API.

SQL

SQL Kafka PostgreSQL Database

Real-Time CDC With Rockset And Confluent Cloud

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

Cloud PostgreSQL Kafka Database

Snowflake’s Best-in-Class Enterprise Data Foundation Unlocks Interoperability with Open Data and Internal Collaboration

Snowflake

JUNE 4, 2024

Snowflake’s native connectors , including the existing Snowflake Connector for Kafka and for ServiceNow , are built with scalability, cost efficiency and lower latency. Getting data ingested now only takes a few clicks, and the data is encrypted.

Government

Government Data Ingestion Data PostgreSQL

End-to-End Data Engineering System on Real Data with Kafka, Spark, Airflow, Postgres, and Docker

Data Engineering Project: Stream Edition

Webinars

Trending Sources

Easier Stream Processing On Kafka With ksqlDB

Webinars

Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow

Getting Started with Rust and Apache Kafka

?? On Track with Apache Kafka – Building a Streaming ETL Solution with Rail Data

Kafka Connect Deep Dive – JDBC Source Connector

Kafka Vs. PostgreSQL: How We Implemented Our Queueing System Using PostgreSQL

Reliable Data Exchange with the Outbox Pattern and Cloudera DiM

TimescaleDB: Fast And Scalable Timeseries with Ajay Kulkarni and Mike Freedman - Episode 18

Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Continuously Query Your Time-Series Data Using PipelineDB with Derek Nelson and Usman Masood - Episode 62

Getting Started with Cloudera Stream Processing Community Edition

TimescaleDB: The Timeseries Database Built For SQL And Scale - Episode 65

Ingest Data Faster, Easier and Cost-Effectively with New Connectors and Product Updates

Data News — Week 23.27

Astronomer with Ry Walker - Episode 6

ThreatStack: Data Driven Cloud Security with Pete Cheslock and Patrick Cable - Episode 25

Building Real Time Applications On Streaming Data With Eventador

PrestoDB and Starburst Data with Kamil Bajda-Pawlikowski - Episode 32

Building a Scalable Search Architecture

Change Data Capture For All Of Your Databases With Debezium

Paving The Road For Fast Analytics On Distributed Clouds With The Yellowbrick Data Warehouse

Data News — Week 23.24

Combining Transactional And Analytical Workloads On MemSQL with Nikita Shamgunov - Episode 51

Building A Real Time Event Data Warehouse For Sentry

Making Analytical APIs Fast With Tinybird

Inside Agoda’s Private Cloud - Exclusive

Powering Real-Time Analytics at Scale on MySQL and PostgreSQL

Managing The DoorDash Data Platform

Streaming Heterogeneous Databases with Kafka Connect – The Easy Way

DBLog: A Generic Change-Data-Capture Framework

Metal as a Service (MaaS): DIY server-management at scale

Why RudderStack Used Postgres Over Apache Kafka for Streaming Engine

DBLog: A Generic Change-Data-Capture Framework

Keeping Your Data Warehouse In Order With DataForm

A decade of scaling (real-time) analytics and master data at Picnic

Solving Data Lineage Tracking And Data Discovery At WeWork

Optimize Your Machine Learning Development And Serving With The Open Source Vector Database Milvus

Data Engineering Weekly #157

Event First Development - Moving Towards Kafka Pipeline Applications

Materialized Views in SQL Stream Builder

Real-Time CDC With Rockset And Confluent Cloud

Snowflake’s Best-in-Class Enterprise Data Foundation Unlocks Interoperability with Open Data and Internal Collaboration

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