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How to learn data engineering

Christophe Blefari

Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. It's important to understand the distributed computing concepts, MapReduce , Hadoop distributions , data locality , HDFS.

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Monitoring Data Replication in Multi-Datacenter Apache Kafka Deployments

Confluent

Instead of having many point-to-point connections between sites, the Confluent Platform provides an integrated event streaming architecture with frictionless data replication between sites. First and foremost, Confluent Control Center can manage multi-datacenter Apache Kafka ® deployments, whether on prem or in the cloud.

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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

Kafka can continue the list of brand names that became generic terms for the entire type of technology. Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. What is Kafka? What Kafka is used for.

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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? 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. FaaS for streaming processing. What is FaaS?

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Aggregator Leaf Tailer: An Alternative to Lambda Architecture for Real-Time Analytics

Rockset

In this blog post, I will describe the Aggregator Leaf Tailer architecture and its advantages for low-latency data processing and analytics. To mitigate the delays inherent in MapReduce, the Lambda architecture was conceived to supplement batch results from a MapReduce system with a real-time stream of updates.