Building Real-Time Data Pipelines with Microsoft Azure, Databricks, and Confluent

Building Real-Time Data Pipelines with Microsoft Azure, Databricks, and Confluent

Processing data in real time is a process, as some might say. Angela Chu (Solution Architect, Databricks) and Caio Moreno (Senior Cloud Solution Architect, Microsoft) explain how to integrate Azure, Databricks, and Confluent to build real-time data pipelines that enable you to ingest data, perform analytics, and extract insights from data at hand. They share about where to start within the Apache Kafka® ecosystem and how to maximize the tools and components that it offers using fully managed ...

Jaksot(285)

Lessons Learned From Designing Serverless Apache Kafka ft. Prachetaa Raghavan

Lessons Learned From Designing Serverless Apache Kafka ft. Prachetaa Raghavan

You might call building and operating Apache Kafka® as a cloud-native data service synonymous with a serverless experience. Prachetaa Raghavan (Staff Software Developer I, Confluent) spends his days f...

14 Joulu 202128min

Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira

Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira

What does cloud native mean, and what are some design considerations when implementing cloud-native data services? Gwen Shapira (Apache Kafka® Committer and Principal Engineer II, Confluent) addresses...

7 Joulu 202133min

ksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work Together ft. Simon Aubury

ksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work Together ft. Simon Aubury

What is ksqlDB and how does Simon Aubury (Principal Data Engineer, Thoughtworks) use it to track down the plane that wakes his cat Snowy in the morning? Experienced in building real-time applications ...

1 Joulu 202130min

Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger

Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger

Many of us find ourselves in the position of equipping others to use Apache Kafka® after we’ve gained an understanding of what Kafka is used for. But how do you communicate and teach others event stre...

23 Marras 202129min

Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell

Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell

If you ever wondered what exactly dead letter queues (DLQs) are and how to use them, Jason Bell (Senior DataOps Engineer, Digitalis) has an answer for you. Dead letter queues are a feature of Kafka Co...

16 Marras 202137min

Confluent Platform 7.0: New Features + Updates

Confluent Platform 7.0: New Features + Updates

Confluent Platform 7.0 has launched and includes Apache Kafka® 3.0, plus new features introduced by KIP-630: Kafka Raft Snapshot, KIP-745: Connect API to restart connector and task, and KIP-695: Furth...

9 Marras 202112min

Real-Time Stream Processing with Kafka Streams ft. Bill Bejeck

Real-Time Stream Processing with Kafka Streams ft. Bill Bejeck

Kafka Streams is a native streaming library for Apache Kafka® that consumes messages from Kafka to perform operations like filtering a topic’s message and producing output back into Kafka. After worki...

4 Marras 202135min

Automating Infrastructure as Code with Apache Kafka and Confluent ft. Rosemary Wang

Automating Infrastructure as Code with Apache Kafka and Confluent ft. Rosemary Wang

Managing infrastructure as code (IaC) instead of using manual processes makes it easy to scale systems and minimize errors. Rosemary Wang (Developer Advocate, HashiCorp, and author of “Essential Infra...

26 Loka 202130min

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