Kafka, MySQL and Relational Database - Data Engineering Digest

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. With other ingestion improvements and our new database connectors, we are smoothing out the data ingestion process, making it radically simple and efficient to bring data to Snowflake.

Data Ingestion

Data Ingestion MySQL PostgreSQL Data Pipeline

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. That is because relational databases are a rich source of events. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. What we’ll cover.

Kafka

Kafka MySQL Bytes Java

Powering Real-Time Analytics at Scale on MySQL and PostgreSQL

Rockset

APRIL 15, 2021

Relational databases today are widely known to be suboptimal for supporting high-scale analytical use cases, and are all but certain to run into issues as your production data size and query volume grow. Rockset also has first-class query performance on a variety of complex queries and, most importantly, is horizontally scalable.

PostgreSQL

PostgreSQL MySQL Relational Database NoSQL

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

Rockset

OCTOBER 11, 2022

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

Building a Scalable Search Architecture

Confluent

JUNE 18, 2019

Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search, or even machine learning—your relational database might not be enough. Building an indexing pipeline at scale with Kafka Connect.

Architecture

Architecture Building Kafka Database-centric

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

LinkedIn Engineering

MAY 11, 2023

For MaaS, the starting point was co-hosting the web service, relational database ( Postgres ), and Redis -based caching layer on a server. We decided to leverage Kafka as a distributed messaging queue. The choice of Kafka mainly stemmed from its widespread use within LinkedIn and its dedicated support SLA.

Management

Management PostgreSQL MySQL Kafka

Real-Time CDC With Rockset And Confluent Cloud

Rockset

MARCH 26, 2023

Breaking Bad… Data Silos We haven’t quite figured out how to avoid using relational databases. 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.

Cloud

Cloud PostgreSQL Kafka Database

Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Equip yourself with the experience and know-how of Hadoop, Spark, and Kafka, and get some hands-on experience in AWS data engineer skills, Azure, or Google Cloud Platform.

Data Engineering

Data Engineering Data Engineer Engineering Non-relational Database

The Future of SQL: Databases Meet Stream Processing

Knowledge Hut

JULY 24, 2023

According to recent studies, the global database market will grow from USD 63.4 SQL is a powerful tool for managing and manipulating relational databases, and it continues to be widely used in the industry today. This compatibility makes it simple to create new tables and move old tables to new databases.

Database

Database SQL Process NoSQL

DBLog: A Generic Change-Data-Capture Framework

Netflix Tech

DECEMBER 17, 2019

CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous datastores in sync (like MySQL and ElasticSearch) and addresses challenges that exist with traditional techniques like dual-writes and distributed transactions [3][4]. Supporting Relational Databases. Writing events to any output.

MySQL

MySQL PostgreSQL Database Transportation

DBLog: A Generic Change-Data-Capture Framework

Netflix Tech

DECEMBER 17, 2019

CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous datastores in sync (like MySQL and ElasticSearch) and addresses challenges that exist with traditional techniques like dual-writes and distributed transactions [3][4]. Supporting Relational Databases. Writing events to any output.

MySQL

MySQL PostgreSQL Database Transportation

Data Engineering Glossary

Silectis

JANUARY 3, 2021

Kafka Apache Kafka is the Apache Foundation’s open-source software platform for streaming. MySQL An open-source relational databse management system with a client-server model. PostgreSQL A free, open-source relational database management system, also known as Postgres.

Data Engineering

Data Engineering Data Engineer Engineering Hadoop

Top 20+ Big Data Certifications and Courses in 2023

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. Database Management : knowing how to work with databases - both relational(like Postgres) and non-relational - is important for efficient storing and retrieval of data.

Big Data

Big Data Certification Hadoop Scala

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

AUGUST 29, 2023

These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Common structured data sources include SQL databases like MySQL, Oracle, and Microsoft SQL Server. Apache Kafka and AWS Kinesis are popular tools for handling real-time data ingestion.

Data Lake

Data Lake Architecture IT Amazon Web Services

How to Handle Database Joins in Apache Druid vs Rockset

Rockset

JULY 7, 2021

This is important because it’s often helpful to include fields from multiple Druid files — or multiple tables in a normalized data set — in a single query, providing the equivalent of an SQL join in a relational database. Rockset can be used, for example, to join a Kafka stream with dimension tables from MySQL.

Database

Database Relational Database SQL MySQL

Real-Time Data Transformations with dbt + Rockset

Rockset

OCTOBER 20, 2021

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

SQL

SQL PostgreSQL MongoDB NoSQL

Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

DECEMBER 7, 2021

Data sources may include relational databases or data from SaaS (software-as-a-service) tools like Salesforce and HubSpot. You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines. Building real-time data pipelines is much easier with the help of Kafka, Kafka Connect, and Kafka Streams.

Data Pipeline

Data Pipeline Architecture Kafka AWS

Sqoop Interview Questions and Answers for 2023

ProjectPro

JUNE 23, 2016

Sqoop is a SQL to Hadoop tool for efficiently importing data from a RDBMS like MySQL, Oracle, etc. Users can import one or more tables, the entire database to selected columns from a table using Apache Sqoop. Sqoop is compatible with all JDBC compatible databases. directly into HDFS or Hive or HBase.

Hadoop

Hadoop MySQL Relational Database Java

IBM InfoSphere vs Oracle Data Integrator vs Xplenty and Others: Data Integration Tools Compared

AltexSoft

OCTOBER 8, 2021

ODI has a wide array of connections to integrate with relational database management systems ( RDBMS) , cloud data warehouses, Hadoop, Spark , CRMs, B2B systems, while also supporting flat files, JSON, and XML formats. There are also out-of-the-box connectors for such services as AWS, Azure, Oracle, SAP, Kafka, Hadoop, Hive, and more.

Data Integration

Data Integration Hadoop Data Warehouse Data Lake

50 Business Analyst Interview Questions and Answers

ProjectPro

SEPTEMBER 11, 2021

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Q1. Please point out the difference between SQL and MySQL. SQL MySQL SQL stands for Structured Query Language. It is a query language that is used to fetch data from a database. It makes sure that no two rows have the same key values.

Business Analyst

Business Analyst Database-centric MySQL SQL

DynamoDB Filtering and Aggregation Queries Using SQL on Rockset

Rockset

SEPTEMBER 13, 2022

It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases. As Rockset ingests data from your primary database, it then indexes your data in a Converged Index , which borrows concepts from: a row index, an inverted index, and a columnar index.

SQL

SQL Database Relational Database AWS

100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering

Data Engineering Data Engineer Engineering Hadoop

50 Cloud Computing Interview Questions and Answers for 2023

ProjectPro

JULY 30, 2021

It backs up storage in a routine fashion without the hassle of Database administrators interfering. RDS (Amazon Relational Database System) is the traditional relational database that provides scalability and cost-effective solutions for storing data. How can DDos attack be prevented and minimised?

Cloud Computing

Cloud Computing Cloud Amazon Web Services AWS

Top Hadoop Projects and Spark Projects for Beginners 2021

ProjectPro

NOVEMBER 14, 2015

This failure of relational database management systems triggered organizations to move their data from RDBMS to Hadoop. Data migration from legacy systems to the cloud is a major use case in organizations that have been into relational databases.

Hadoop

Hadoop Project Big Data Healthcare

Data Engineering Digest

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

Kafka Connect Deep Dive – JDBC Source Connector

Webinars

Trending Sources

Powering Real-Time Analytics at Scale on MySQL and PostgreSQL

Webinars

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

Building a Scalable Search Architecture

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

Real-Time CDC With Rockset And Confluent Cloud

Data Engineering Learning Path: A Complete Roadmap

The Future of SQL: Databases Meet Stream Processing

DBLog: A Generic Change-Data-Capture Framework

DBLog: A Generic Change-Data-Capture Framework

Data Engineering Glossary

Top 20+ Big Data Certifications and Courses in 2023

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

How to Handle Database Joins in Apache Druid vs Rockset

Real-Time Data Transformations with dbt + Rockset

Data Pipeline- Definition, Architecture, Examples, and Use Cases

Sqoop Interview Questions and Answers for 2023

IBM InfoSphere vs Oracle Data Integrator vs Xplenty and Others: Data Integration Tools Compared

50 Business Analyst Interview Questions and Answers

DynamoDB Filtering and Aggregation Queries Using SQL on Rockset

100+ Data Engineer Interview Questions and Answers for 2023

50 Cloud Computing Interview Questions and Answers for 2023

Top Hadoop Projects and Spark Projects for Beginners 2021

Top 100 AWS Interview Questions and Answers for 2023

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