put-several-event-types-kafka-topic Blog Related Topics 
Confluent
AUGUST 29, 2019
We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Kafka already allows you to look at data as streams or tables; graphs are a third option, a more natural representation with a lot of grounding in theory for some use cases. 8, and so on. Here we go!
Confluent
JULY 17, 2019
Together, MongoDB and Apache Kafka ® make up the heart of many modern data architectures today. Integrating Kafka with external systems like MongoDB is best done though the use of Kafka Connect. The official MongoDB Connector for Apache Kafka is developed and supported by MongoDB engineers. Getting started.
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Cloudera
JUNE 17, 2022
In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection.
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?
O'Reilly Media - Ideas
JANUARY 25, 2024
Each graph is scaled so that the topic with the greatest usage is 1. Software Development Most of the topics that fall under software development declined in 2023. Our data shows that most topics in software architecture and design are down year-over-year. Units Viewed measures the actual usage of content on our platform.
Instaclustr
OCTOBER 14, 2019
A complete rundown leading up to ApacheCon USA, starting a week before the final event. This blog provides a brief of things I learnt during the 4-day event, including a summary of talks I attended and presented. programming language, starts with “J”, type of coffee, etc.) IoT, geospatial, ML, streaming, etc.),
Altexsoft
MAY 14, 2021
The best way to understand the idea behind Big Data analytics is to put it against regular data analytics. The analytics commonly takes place after a certain period of time or event. You can check out our post about the analytics maturity model where we describe the aforementioned types in more detail. Traditional approach.
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