Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

Applications, development, deployment, and theory are all key pieces behind customer experience, event streaming, and improving systems and integration. James Urquhart (Global Field CTO, VMware) is writing a book combining Wardley Mapping and Promise Theory to evaluate the future of event streaming and how it will become a more economic choice for users. James argues that reducing the cost of integration does not deter people from buying but instead encourages creativity to find more us...

Avsnitt(285)

What is Data Democratization and Why is it Important?

What is Data Democratization and Why is it Important?

Data democratization allows everyone in an organization to have access to the data they need, and the necessary tools needed to use this data effectively. In short, data democratization enables better...

26 Jan 202347min

Git for Data: Managing Data like Code with lakeFS

Git for Data: Managing Data like Code with lakeFS

Is it possible to manage and test data like code? lakeFS is an open-source data version control tool that transforms object storage into Git-like repositories, offering teams a way to use the same wor...

19 Jan 202330min

Using Kafka-Leader-Election to Improve Scalability and Performance

Using Kafka-Leader-Election to Improve Scalability and Performance

How does leader election work in Apache Kafka®? For the past 2 ½ years, Adithya Chandra, Staff Software Engineer at Confluent, has been working on Kafka scalability and performance, specifically parti...

12 Jan 202351min

Real-Time Machine Learning and Smarter AI with Data Streaming

Real-Time Machine Learning and Smarter AI with Data Streaming

Are bad customer experiences really just data integration problems? Can real-time data streaming and machine learning be democratized in order to deliver a better customer experience? Airy, an open-so...

5 Jan 202338min

The Present and Future of Stream Processing

The Present and Future of Stream Processing

The past year saw new trends emerge in the world of data streaming technologies, as well as some unexpected and novel use cases for Apache Kafka®. New reflections on the future of stream processing an...

28 Dec 202231min

Top 6 Worst Apache Kafka JIRA Bugs

Top 6 Worst Apache Kafka JIRA Bugs

Entomophiliac, Anna McDonald (Principal Customer Success Technical Architect, Confluent) has seen her fair share of Apache Kafka® bugs. For her annual holiday roundup of the most noteworthy Kafka bugs...

21 Dec 20221h 10min

Learn How Stream-Processing Works The Simplest Way Possible

Learn How Stream-Processing Works The Simplest Way Possible

Could you explain Apache Kafka® in ways that a small child could understand? When Mitch Seymour, author of Mastering Kafka Streams and ksqlDB, wanted a way to communicate the basics of Kafka and event...

20 Dec 202231min

Building and Designing Events and Event Streams with Apache Kafka

Building and Designing Events and Event Streams with Apache Kafka

What are the key factors to consider when developing event-driven architecture? When properly designed, events can connect existing systems with a common language and allow data exchange in near real ...

15 Dec 202253min

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