The New Cyber: Faster, Better, Cheaper

Government agencies face the need to augment traditional SIEM systems and to do so in a manner that is better, faster and cheaper than before. This need for SIEM augmentation is driven by three factors - threat, scale, and cost. In addition most agencies now realise that they want to be more independent from cloud and SIEM vendors, so having a way to bring on new analytic destinations, including modern SIEMs, is an emerging requirement.



Confluent enables you to bridge the gap between old-school SIEM solutions and next-gen offerings by consolidating, categorising and enriching event logs, network data and log data generated by all relevant data sources for the purpose of real-time monitoring and security forensics.



Join the Confluent team for this online talk in which you will learn:

1. The top enterprise SIEM challenges facing government agencies
2. The value of augmenting your SIEM with Confluent
3. An overview of the Confluent solution and how it works
4. Customer use cases and examples
5. An integration example with Splunk
6. The role Kafka plays in all of this

Join Kai Waehner, Field CTO and Global Technology Advisor at Confluent to learn more about “Data In Motion in the Insurance Industry” with use cases and local experts on hand to answer your questions on Thursday April 15th 12pm SGT, 2pm AEST.

One of the most common relational database systems needing to connect to Kafka is Oracle, which holds highly critical enterprise transaction workloads. While Oracle excels at storing data, it struggles to implement continuous real-time syncs to other data warehouses. Change Data Capture (CDC) seeks to solve this challenge by efficiently identifying and capturing data that has been added to, updated, or removed from Oracle relational tables. It then makes this change data available to the rest of the organization. Most enterprises seek to utilize this change data to enhance their real-time use cases, which requires bridging legacy systems to their modern data systems and applications through Kafka.

However, sending Oracle CDC data to Kafka adds additional complexity for development teams, as few tools exist in the market today to address this need. Confluent’s new Oracle CDC Source Connector, the first of Confluent’s Premium Connectors, allows customers to reliably, and cost-effectively implement continuous real-time syncs by offloading data from Oracle Database to Confluent.

In this webinar, you will learn how to:

1. Jumpstart technical uses cases by leveraging a pre-built connector that has enterprises features and functionality ready out-of-the-box
2. Reliably and quickly connect your Oracle database to Kafka and other modern data systems by leveraging 120+ pre-built connectors
3. Quickly scale horizontally without taking on additional licensing costs with Oracle CDC Source Connector’s native Kafka connectivity

Agencies are grappling with a growing challenge of distributing data across a geographically diverse set of locations around the US and globally. In order to ensure mission success, data needs to flow to all of these locations rapidly. Additionally, latency, bandwidth and reliability of communication can prove to be a challenge for agencies. A global data fabric is an emerging approach to help connect mission to data across multiple locations and deliver uniformity and consistency at scale.

This webinar will cover:

An overview of Apache Kafka and and how an event streaming platform can support your agencies mission

Considerations around handling varying quality communication links
Synchronous vs asynchronous data replication
New multi-region capabilities in Confluent Platform for Global Data Fabric

Apache Kafka® & Machine Learning
Connecting the Dots from Inception to Production

Join this session to understand how and why Apache Kafka® has become the de facto standard for reliable and scalable streaming infrastructures. AI/Machine learning and the Apache Kafka ecosystem are a great combination for training, deploying and monitoring analytic models at scale in real time. They are showing up more and more in projects, but still feel like buzzwords and hype for science projects.

See how to connect the dots!

- How are Kafka and Machine Learning related?
- How can they be combined to productionize analytic models in mission-critical and scalable real time applications?
- We will discuss a step-by-step approach to build a scalable and reliable real time infrastructure for anomaly detection in cyber data

Oracle might hold the bulk of highly critical enterprise transaction workloads and even act as the main system of record for enterprise data in your organization. But until now, it hasn’t been easy to share the data siloed in Oracle with other systems in order to truly take advantage of it.

Confluent’s new Oracle CDC Source Connector allows you to reliably and cost-effectively offload data from your Oracle Database to Confluent, greatly reducing net licensing costs you might accrue by using a third-party connector, and freeing up your developers’ time to focus on valuable business-impacting activities, rather than spending cycles building foundational tooling for supporting data-in-motion.

Curious to hear more? Join us for a Premium Connector Forum on Oracle CDC Source. You’ll learn about:

Supported features
Example architecture
Dependencies and limitations

Register now for this virtual event !

Kai Waehner from Confluent is your host for a session in which you will learn how you can accelerate your application modernization and benefit from the open source Apache Kafka ecosystem. Waehner will share real customer stories describing timely insights gained from event-driven applications built on an event streaming platform utilizing hybrid architectures with on premise / edge Kafka deployments and Confluent Cloud running on AWS/GCP/Azure, to store and process historical data and real-time data streams.

One of the most common relational database systems needing to connect to Kafka is Oracle, which holds highly critical enterprise transaction workloads. While Oracle excels at storing data, it struggles to implement continuous real-time syncs to other data warehouses. Change Data Capture (CDC) seeks to solve this challenge by efficiently identifying and capturing data that has been added to, updated, or removed from Oracle relational tables. It then makes this change data available to the rest of the organization. Most enterprises seek to utilize this change data to enhance their real-time use cases, which requires bridging legacy systems to their modern data systems and applications through Kafka.

However, sending Oracle CDC data to Kafka adds additional complexity for development teams, as few tools exist in the market today to address this need. Confluent’s new Oracle CDC Source Connector, the first of Confluent’s Premium Connectors, allows customers to reliably, and cost-effectively implement continuous real-time syncs by offloading data from Oracle Database to Confluent.

In this webinar, you will learn how to:

1. Jumpstart technical uses cases by leveraging a pre-built connector that has enterprises features and functionality ready out-of-the-box
2. Reliably and quickly connect your Oracle database to Kafka and other modern data systems by leveraging 120+ pre-built connectors
3. Quickly scale horizontally without taking on additional licensing costs with Oracle CDC Source Connector’s native Kafka connectivity

This is an introduction to Kafka and how government is modernizing systems to meet critical mission requirements using a modern event streaming platform.

We will explain the origin of Kafka; why it is relevant; provide high level uses case examples of how it is used by the U.S. Government to greatly improve its capabilities to serve its citizens.

Companies now run global businesses that span the globe and hop between clouds in real-time, breaking down data silos to create seamless applications that connect the organisation internally and externally. This continuous state of change means that legacy architectures are insufficient or unsuitable to meet the needs of the modern organisation. Applications must be able to run 24×7 and be elastic, global, and cloud-native.

Mining, resources, chemical, energy and industrial organisations must process billions of these events per day in real-time and ensure consistent and reliable data processing and correlation across machines, sensors and standard software.

Enter event-driven architecture (EDA), a type of software architecture that ingests, processes, stores, and reacts to real-time data as it’s being generated, opening new capabilities in the way businesses run.

Real-time streaming data enables you to modernise existing processes, streamline costs and extract more value out of your business data.

Join us on Wednesday, March 10th 2pm AEST to learn how event streaming with Apache Kafka, Confluent Platform and Confluent Cloud provide a scalable, reliable, and efficient infrastructure to ensure you can leverage the value of real time data.

In this session James Gollan, Senior Solutions Architect at Confluent, will discuss use cases and architectures for various scenarios, including:

Agenda:


10,000 Feet View – Event Streaming for Industry 4.0
Events – What are they, and why do they matter?
The three pillars of an event streaming platform
Event driven microservices
Event driven architecture and IoT and use cases
Core data offload
Machine learning for anomaly detection
Monitoring telemetry on trucks - sensor detector
Supply Chain Management
Cybersecurity
Q&A




Advance registration is requested. We look forward to your participation!

Each one of us now has first hand experience of living through a pandemic where situations change minute by minute, and critical information, updates and changes must be rolled out to citizens, businesses, intra government agencies and other key stakeholders.

Today, the need for access to real time data is undeniable and the Public Sector has never played more of a pivotal role in every citizen’s life.

Where once real time may have been something to aim for in the future, today even near real time is not enough.

Join Johnny Mirza, Senior Solutions Engineer at Confluent for a 45 mins + 15 min Q&A virtual discussion “Enabling real time Digital Transformation in the Public Sector” on Thursday March 4th at 2pm AEST 11am SGT / 12pm AEST. You will learn how event streaming is a real time infrastructure revolution that is fundamentally changing how public sector organisations think about data and build applications to resolve the real time challenge that thousands of other organisations are addressing around us.

Beyond the current pandemic, event-driven architecture is the future of data infrastructure, and this talk is designed to demonstrate and share practical examples of how to leverage the power of your event streams in real-time to deliver on mission outcomes, better serve citizens, ensure security and compliance, enhance IT efficiency, and maximise productivity.


This session is suitable for both non-technical and technical attendees.

Attendees will gain:
-an overview of key event streaming concepts including “everything is an event”
-a framework for solution architects and developers looking to learn a new skill
-an understanding of common Use Cases in the Public Sector such as
-an introduction to some of the technology behind event streaming, including Apache Kafka