Cloudera

DECEMBER 2, 2020

This is the first installment in a short series of blog posts about security in Apache Kafka. Secured Apache Kafka clusters can be configured to enforce authentication using different methods, including the following: SSL – TLS client authentication. We use the kafka-console-consumer for all the examples below.

Kafka 70

Kafka Java Big Data Ecosystem Cloud 70

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Data Engineering Podcast

SEPTEMBER 12, 2021

Links Cassandra Instaclustr HBase DynamoDB Whitepaper Property Based Testing QuickTheories Riak FoundationDB Podcast Episode ScyllaDB Podcast Episode YugabyteDB Podcast Episode Azure CosmoDB Amazon Keyspaces Netty Kafka CQRS == Command Query Responsibility Segregation Elasticsearch Redis Memcached Debezium Podcast Episode CDC == Change Data Capture (..)

Database 100

Database Metadata Kafka Data Storage 100

Confluent

MAY 28, 2019

Mistake #1: Co-locating Schema Registry instances on Apache Kafka ® brokers. Given its relatively low footprint, operators may be tempted to co-locate Schema Registry with other services, like a Kafka broker. Whether the design is active-active or active-passive, designate one Kafka cluster as the primary for Schema Registry.

Management 83

Management Kafka Java Certification 83

Confluent

FEBRUARY 27, 2019

When it comes to the emerging serverless world, It makes sense to validate how Apache Kafka ® fits in considering that it is mission critical in 90 percent of companies. By persisting the streams in Kafka we then have a record of all system activity (a source of truth), and also a mechanism to drive reactions.

Kafka 109

Kafka AWS Architecture Cloud 109

Rockset

MARCH 15, 2021

Elasticsearch offers tools like Beats and Logstash, or you could find a number of tools from other providers or the community, which allow you to connect data sources—such as Amazon S3, Apache Kafka, MongoDB—to your system. For each commonly used data source (for example S3, Kafka, MongoDB, DynamoDB, etc.),

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

Rockset

FEBRUARY 6, 2019

Common Lambda Architectures: Kafka, Spark, and MongoDB/Elasticsearch If you are a data practitioner, you would probably have either implemented or used a data processing platform that incorporates the Lambda architecture. A common implementation would have large batch jobs in Hadoop complemented by an update stream stored in Apache Kafka.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40

Rockset

FEBRUARY 25, 2021

Rockset, on the other hand, provides full-featured SQL and an API endpoint interface that allows developers to quickly join across data sources like DynamoDB and Kafka. However, Elasticsearch has several limitations that make it less suitable when it comes to running more complex analytical queries.

SQL 40

SQL Data Pipeline Kafka Database 40

ProjectPro

MARCH 17, 2014

Doug Cutting was inspired by Google’s white papers and decided to create an open source project called “Hadoop” Yahoo further contributed to this project and played a key role in developing Hadoop for enterprise applications.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

Cloudera

MARCH 29, 2021

It offers a slick user interface for writing SQL queries to run against real-time data streams in Apache Kafka or Apache Flink. If you are curious to learn more about continuous SQL, download our new white paper. This enables developers, data analysts and data scientists to write streaming applications using just SQL.

SQL 116

SQL Scala Manufacturing Java 116