Java, Kafka and PostgreSQL - Data Engineering Digest

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

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

Data Engineering Podcast

OCTOBER 15, 2023

What was the process for adding full Java support in addition to SQL? What was the process for adding full Java support in addition to SQL? What are the problems that customers are trying to solve when they come to Decodable? When you launched your focus was on SQL transformations of streaming data.

Process

Process Building SQL BI

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. It is implemented in Java using the Spring framework. It is implemented in Java using the Spring framework. event_type : The type of the event.

PostgreSQL

PostgreSQL Kafka Database Data

Webinars

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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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

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. It's an excellent read if you're a snowflake user.

Data Engineer

Data Engineer Data Engineering Engineering PostgreSQL

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 ®. Command Line Shell.

Kafka

Kafka Cloud Data Pipeline PostgreSQL

How to Use ChatGPT ETL Prompts For Your ETL Game

Monte Carlo

DECEMBER 4, 2023

Date-time parsing I'm working with a list of dates in Java stored as strings in the format 'dd-MM-yyyy'. Can you assist me in writing a Java method to parse these date strings? Tune the load process I'm using PostgreSQL to store my company's transactional data. I've heard about topics, producers, and consumers in Kafka.

PostgreSQL

PostgreSQL ETL Tools Data Lake MySQL

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

Data Engineering Podcast

AUGUST 6, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Machine Learning

Machine Learning Database MySQL PostgreSQL

15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

NOVEMBER 28, 2023

Java Big Data requires you to be proficient in multiple programming languages, and besides Python and Scala, Java is another popular language that you should be proficient in. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineer

Data Engineer Data Engineering Engineering Generalist

Python for Data Engineering

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. csv') data_excel = pd.read_excel('data2.xlsx')

Data Engineer

Data Engineer Data Engineering Python Engineering

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

Updates, Inserts, Deletes: Comparing Elasticsearch and Rockset for Real-Time Data Ingest

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

Data Ingestion Kafka Relational Database PostgreSQL

Data Engineering Annotated Monthly – January 2022

Big Data Tools

FEBRUARY 9, 2022

Furthermore, its interface is not web, but rather a desktop application written in Java (but with a native look and feel). It is another example of an orchestrator, this time written in Java. Kafka: Add range and scan query over kv-store in IQv2 — The name of this KIP speaks for itself. Apache Hop is different in many ways.

Data Engineer

Data Engineer Data Engineering Engineering Big Data Tools

Data Engineering Annotated Monthly – January 2022

Big Data Tools

FEBRUARY 9, 2022

Furthermore, its interface is not web, but rather a desktop application written in Java (but with a native look and feel). It is another example of an orchestrator, this time written in Java. Kafka: Add range and scan query over kv-store in IQv2 — The name of this KIP speaks for itself. Apache Hop is different in many ways.

Data Engineer

Data Engineer Data Engineering Engineering Big Data Tools

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

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

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

Getting Started with Rust and Apache Kafka

Confluent

OCTOBER 24, 2019

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark , which you are welcome to read about in my previous blog post explaining the story behind this open source example. The blue parts represent PostgreSQL databases, and turquoise is a Nginx web server.

Kafka

Kafka Java Banking Bytes

The Good and the Bad of Apache Airflow Pipeline Orchestration

AltexSoft

NOVEMBER 7, 2022

However, the platform is compatible with solutions supporting near real-time and real-time analytics — such as Apache Kafka or Apache Spark. For production purposes, choose from PostgreSQL 10+, MySQL 8+, and MsSQL. The Good and the Bad of Java Development. The Good and the Bad of Apache Kafka Streaming Platform.

PostgreSQL

PostgreSQL Metadata Python MySQL

Comparing Snowflake Data Ingestion Methods with Striim

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

Data Ingestion Utilities Data Integration Data

Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. 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.

Big Data

Big Data Certification Hadoop Kafka

The Good and the Bad of the Elasticsearch Search and Analytics Engine

AltexSoft

SEPTEMBER 21, 2023

It is developed in Java and built upon the highly reputable Apache Lucene library. Built upon a NoSQL database framework and enriched with powerful search and analytics capabilities, Elasticsearch provides client libraries in many programming languages, including but not limited to Java, JavaScript , PHP, C# , Ruby, and Python.

Engineering

Engineering NoSQL Programming Language Java

?? 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

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Databand.ai

DECEMBER 13, 2022

He currently runs a YouTube channel, E-Learning Bridge , focused on video tutorials for aspiring data professionals and regularly shares advice on data engineering, developer life, careers, motivations, and interviewing on LinkedIn.

Data Engineer

Data Engineer Data Engineering Engineering AWS

70+ Azure Interview Questions and Answers to Prepare in 2023

ProjectPro

DECEMBER 10, 2021

You can write Functions in C#, Node, Java, Python, and other languages. Azure Backup is a cloud-based solution offered by Microsoft that allows you to backup Azure Windows VMs, Azure Managed Disks, Azure File shares, SQL Server databases, SAP HANA databases, Azure PostgreSQL databases, etc.

BI

BI Cloud Computing SQL Database

Hive Interview Questions and Answers for 2023

ProjectPro

APRIL 26, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers 10) When executing Hive queries in different directories, why is metastore_db created in all places from where Hive is launched? It is suggested to use standalone real database like PostGreSQL and MySQL. We cannot use metastore in sharing mode.

Hadoop

Hadoop Metadata SQL Database

Data Engineering Digest

Easier Stream Processing On Kafka With ksqlDB

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

Webinars

Trending Sources

Reliable Data Exchange with the Outbox Pattern and Cloudera DiM

Webinars

Kafka Connect Deep Dive – JDBC Source Connector

Data Engineering Weekly #157

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

How to Use ChatGPT ETL Prompts For Your ETL Game

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

15+ Must Have Data Engineer Skills in 2023

Python for Data Engineering

Building a Scalable Search Architecture

Updates, Inserts, Deletes: Comparing Elasticsearch and Rockset for Real-Time Data Ingest

Data Engineering Annotated Monthly – January 2022

Data Engineering Annotated Monthly – January 2022

Solving Data Lineage Tracking And Data Discovery At WeWork

DBLog: A Generic Change-Data-Capture Framework

DBLog: A Generic Change-Data-Capture Framework

Getting Started with Rust and Apache Kafka

The Good and the Bad of Apache Airflow Pipeline Orchestration

Comparing Snowflake Data Ingestion Methods with Striim

Top 20+ Big Data Certifications and Courses in 2023

The Good and the Bad of the Elasticsearch Search and Analytics Engine

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

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Top 100 Hadoop Interview Questions and Answers 2023

70+ Azure Interview Questions and Answers to Prepare in 2023

Hive Interview Questions and Answers for 2023

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