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. Primary key Every MV requires a primary key, as this will be our primary key in the underlying relational database as well. Why use a materialized view?

SQL 81

SQL Kafka PostgreSQL Database 81

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 97

Architecture Building Kafka Database-centric 97

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. Apache Kafka is highly scalable, fault-tolerant, and scalable, and it provides reliable support for large amounts of data.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 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.

Data Engineer 52

Data Engineer Data Engineering 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.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Knowledge Hut

NOVEMBER 28, 2023

Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams. Kafka, which is written in Scala and Java, helps you scale your performance in today’s data-driven and disruptive enterprises.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

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 Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

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. Supporting Relational Databases.

MySQL 81

MySQL PostgreSQL Database Transportation 81

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. Supporting Relational Databases.

MySQL 87

MySQL PostgreSQL Database Transportation 87

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 52

Big Data Certification Hadoop Kafka 52

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 52

SQL PostgreSQL MongoDB NoSQL 52

Rockset

APRIL 29, 2019

DynamoDB has been one of the most popular NoSQL databases in the cloud since its introduction in 2012. As opposed to a traditional RDBMS like PostgreSQL, DynamoDB scales horizontally, obviating the need for careful capacity planning, resharding, and database maintenance.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52

AltexSoft

SEPTEMBER 21, 2023

Fields in these documents are defined and governed by mappings akin to a schema in a relational database. Data in Elasticsearch is organized into documents, which are then categorized into indices for better search efficiency. Each document is a collection of fields, the basic data units to be searched.

Engineering 52

Engineering NoSQL Programming Language Java 52

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 52

SQL Database Relational Database NoSQL 52

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 Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40