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 business decisions. In this episode, Rama Ryali, a Senior IT and Data Executive, chats with Kris Jenkins about the importance of data democratization in modern systems. Rama explains that tech has unprecedented control over data and ignores basic business needs. Tech’s influence has larg...

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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

Rethinking Apache Kafka Security and Account Management

Rethinking Apache Kafka Security and Account Management

Is there a better way to manage access to resources without compromising security? New employees need access to a variety of resources within a company's tech stack. But manually granting access can b...

8 Dec 202241min

Real-time Threat Detection Using Machine Learning and Apache Kafka

Real-time Threat Detection Using Machine Learning and Apache Kafka

Can we use machine learning to detect security threats in real-time? As organizations increasingly rely on distributed systems, it is becoming more important to analyze the traffic that passes through...

29 Nov 202229min

Improving Apache Kafka Scalability and Elasticity with Tiered Storage

Improving Apache Kafka Scalability and Elasticity with Tiered Storage

What happens when you need to store more than a few petabytes of data? Rittika Adhikari (Software Engineer, Confluent) discusses how her team implemented tiered storage, a method for improving the sca...

22 Nov 202229min

Decoupling with Event-Driven Architecture

Decoupling with Event-Driven Architecture

In principle, data mesh architecture should liberate teams to build their systems and gather data in a distributed way, without having to explicitly coordinate. Data is the thing that can and should d...

15 Nov 202238min

If Streaming Is the Answer, Why Are We Still Doing Batch?

If Streaming Is the Answer, Why Are We Still Doing Batch?

Is real-time data streaming the future, or will batch processing always be with us? Interest in streaming data architecture is booming, but just as many teams are still happily batching away. Batch pr...

9 Nov 202243min

Security for Real-Time Data Stream Processing with Confluent Cloud

Security for Real-Time Data Stream Processing with Confluent Cloud

Streaming real-time data at scale and processing it efficiently is critical to cybersecurity organizations like SecurityScorecard. Jared Smith, Senior Director of Threat Intelligence, and Brandon Brow...

3 Nov 202248min

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