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 100

Metadata PostgreSQL Datasets Data Warehouse 100

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 52

Big Data Certification Hadoop Scala 52

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 94

Kafka Cloud Data Pipeline PostgreSQL 94

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 Engineering 52

Data Engineering Data Engineer Engineering AWS 52

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 87

PostgreSQL Kafka Database Data 87

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 88

Kafka MySQL Bytes Java 88

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 96

Architecture Building Kafka Database-centric 96

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

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 Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

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 Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

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 84

MySQL PostgreSQL Database Transportation 84

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 79

MySQL PostgreSQL Database Transportation 79

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 52

PostgreSQL Metadata Python MySQL 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

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 18

Kafka Java Banking Bytes 18

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 52

Engineering NoSQL Programming Language Java 52

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 19

Kafka Building Data Coding 19

ProjectPro

AUGUST 21, 2015

Structured data: Schema-based data, Datastore in SQL, Postgresql databases etc Semi-structured data : Json objects , json arrays, csv , txt ,xlsx files,web logs ,tweets etc Unstructured data : Audio, Video files, etc FREE eBook on 250 Hadoop Interview Questions and Answers 6. JPS is short for Java Virtual Machine Process Status Tool.

Hadoop 40

Hadoop Big Data Metadata Unstructured Data 40

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 40

Hadoop Metadata SQL Database 40

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 52

BI Cloud Computing SQL Database 52