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Data-Centric Security, Governance and Encryption for Apache Kafka at Scale

As businesses unite around Apache Kafka® as the single source of truth and Confluent Platform as the organisation's central nervous system, enabling data-centric security and governance features becomes crucial. Don’t miss ‘Data Security, Governance & Encryption at Scale’, an online talk in which speakers from Confluent, SecuPi and Marionete will discuss the things you must absolutely get right for data protection and privacy when using Apache Kafka and Confluent KSQL.



Join us on Tuesday June 2nd at 2.00 pm London time to learn more about:


1. Must-have data-centric security and GDPR/CCPA privacy requirements of streaming large scale near real time (NRT) data
2. How to classify, monitor, audit and encrypt (with Hold Your Own Key - HYOK)/mask/filter sensitive data flows for Kafka and Confluent KSQL using SecuPi Data-Centric Platform
3. How Confluent Platform and SecuPi integrate with Marionete expert services for end to end data protection and privacy compliance capabilities for Kafka implementations
Recorded Aug 3 2020 46 mins
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Presented by
Ala Al-sharif, Sales Engineer, Confluent
Presentation preview: Data-Centric Security, Governance and Encryption for Apache Kafka at Scale

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  • Channel
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  • Building a Secure, Tamper-Proof & Scalable Blockchain with AiB’s KafkaBlockchain Oct 12 2020 1:30 pm UTC 54 mins
    Kai Waehner, Technology Evangelist, Confluent Stephen Reed, CTO, Co-Founder, AiB
    Apache Kafka is an open-source event streaming platform used to complement or replace existing middleware, integrate applications, and build microservice architectures. Used at almost every large company today, it's understood, battled-tested, highly scalable, and reliable.

    Blockchain is a different story. Being related to cryptocurrencies like Bitcoin, it's often in the news. But what is the value for software architectures? And how is it related to an integration architecture and event streaming platform?

    This session explores blockchain use cases and different alternatives such as Hyperledger, Ethereum, and Kafka-native blockchain implementation. We discuss the value blockchain brings for different architectures, and how it can be integrated with the Kafka ecosystem to build a highly scalable and reliable event streaming infrastructure.
  • Apache Kafka® Use Cases for Financial Services Oct 7 2020 2:15 pm UTC 62 mins
    Tom Green, Senior Solutions Architect, Confluent.
    Traditional systems were designed in an era that predates large-scale distributed systems. These systems often lack the ability to scale to meet the needs of the modern data-driven organisation. Adding to this is the accumulation of technologies and the explosion of data which can result in complex point-to-point integrations where data becomes siloed or separated across the enterprise.



    The demand for fast results and decision making, have generated the need for real-time event streaming and processing of data adoption in financial institutions to be on the competitive edge. Apache Kafka and the Confluent Platform are designed to solve the problems associated with traditional systems and provide a modern, distributed architecture and Real-time Data streaming capability. In addition these technologies open up a range of use cases for Financial Services organisations, many of which will be explored in this talk. .



    By attending this talk you will develop a new understanding of:



    •How Apache Kafka enables a 360 view of the customer

    •How to provide a back bone for distribution of trade data

    •How Kafka and Confluent Platform enable you to meet regulatory requirements for trade information, payments, liquidity

    •How to overcome security concerns with SIEM

    •How to integrate mainframe data with event streaming and the cloud

    •How to reduce fraud with real-time fraud processing, fraud analytics and fraud notifications.

    •How to Develop and enhance microservices.
  • Streamsheets and Apache Kafka – Interactively build real-time Dashboards and Str Oct 3 2020 7:00 am UTC 56 mins
    Kai Waehner, Technology Evangelist, Confluent Kristian Raue, Founder & Chief Technologist, cedalo
    A powerful stream processing platform and an end-user friendly spreadsheet-interface, if this combination rings a bell, you should definitely attend our 'Streamsheets and Apache Kafka' webinar. While development is interactive with a web user interface, Streamsheets applications can run as mission-critical applications. They directly consume and produce event streams in Apache Kafka. One popular option is to run everything in the cloud leveraging the fully managed Confluent Cloud service on AWS, GCP or Azure. Without any coding or scripting, end-users leverage their existing spreadsheet skills to build customized streaming apps for analysis, dashboarding, condition monitoring or any kind of real-time pre-and post-processing of Kafka or KsqlDB streams and tables.

    Hear Kai Waehner of Confluent and Kristian Raue of Cedalo on these topics:

    • Where Apache Kafka and Streamsheets fit in the data ecosystem (Industrial IoT, Smart Energy, Clinical Applications, Finance Applications)
    • Customer Story: How the Freiburg University Hospital uses Kafka and Streamsheets for dashboarding the utilization of clinical assets
    • 15-Minutes Live Demonstration: Building a financial fraud detection dashboard based on Confluent Cloud, ksqlDB and Cedalo Cloud Streamsheets just using spreadsheet formulas.
  • Stream me to the Cloud (and back) with Confluent & MongoDB Oct 1 2020 1:30 pm UTC 65 mins
    Gianluca Natali, Confluent & Felix Reichenbach, MongoDB
    Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business.


    In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back.

    Key Learnings

    Modernize your architecture without revolutionizing it.

    Stream your data from multiple applications and data centers into the Cloud and back

    Confluent as the Central Nervous System of your architecture

    MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications

    Why MongoDB and Confluent is such a great combination

    This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
  • Building a Secure, Tamper-Proof & Scalable Blockchain with AiB’s KafkaBlockchain Oct 1 2020 12:00 pm UTC 54 mins
    Kai Waehner, Technology Evangelist, Confluent Stephen Reed, CTO, Co-Founder, AiB
    Apache Kafka is an open-source event streaming platform used to complement or replace existing middleware, integrate applications, and build microservice architectures. Used at almost every large company today, it's understood, battled-tested, highly scalable, and reliable.

    Blockchain is a different story. Being related to cryptocurrencies like Bitcoin, it's often in the news. But what is the value for software architectures? And how is it related to an integration architecture and event streaming platform?

    This session explores blockchain use cases and different alternatives such as Hyperledger, Ethereum, and Kafka-native blockchain implementation. We discuss the value blockchain brings for different architectures, and how it can be integrated with the Kafka ecosystem to build a highly scalable and reliable event streaming infrastructure.
  • Apache Kafka® Use Cases for Financial Services Oct 1 2020 9:00 am UTC 62 mins
    Tom Green, Senior Solutions Architect, Confluent.
    Traditional systems were designed in an era that predates large-scale distributed systems. These systems often lack the ability to scale to meet the needs of the modern data-driven organisation. Adding to this is the accumulation of technologies and the explosion of data which can result in complex point-to-point integrations where data becomes siloed or separated across the enterprise.



    The demand for fast results and decision making, have generated the need for real-time event streaming and processing of data adoption in financial institutions to be on the competitive edge. Apache Kafka and the Confluent Platform are designed to solve the problems associated with traditional systems and provide a modern, distributed architecture and Real-time Data streaming capability. In addition these technologies open up a range of use cases for Financial Services organisations, many of which will be explored in this talk. .



    By attending this talk you will develop a new understanding of:



    •How Apache Kafka enables a 360 view of the customer

    •How to provide a back bone for distribution of trade data

    •How Kafka and Confluent Platform enable you to meet regulatory requirements for trade information, payments, liquidity

    •How to overcome security concerns with SIEM

    •How to integrate mainframe data with event streaming and the cloud

    •How to reduce fraud with real-time fraud processing, fraud analytics and fraud notifications.

    •How to Develop and enhance microservices.
  • Streamsheets and Apache Kafka – Interactively build real-time Dashboards and Str Sep 29 2020 9:00 am UTC 56 mins
    Kai Waehner, Technology Evangelist, Confluent Kristian Raue, Founder & Chief Technologist, cedalo
    A powerful stream processing platform and an end-user friendly spreadsheet-interface, if this combination rings a bell, you should definitely attend our 'Streamsheets and Apache Kafka' webinar. While development is interactive with a web user interface, Streamsheets applications can run as mission-critical applications. They directly consume and produce event streams in Apache Kafka. One popular option is to run everything in the cloud leveraging the fully managed Confluent Cloud service on AWS, GCP or Azure. Without any coding or scripting, end-users leverage their existing spreadsheet skills to build customized streaming apps for analysis, dashboarding, condition monitoring or any kind of real-time pre-and post-processing of Kafka or KsqlDB streams and tables.

    Hear Kai Waehner of Confluent and Kristian Raue of Cedalo on these topics:

    • Where Apache Kafka and Streamsheets fit in the data ecosystem (Industrial IoT, Smart Energy, Clinical Applications, Finance Applications)
    • Customer Story: How the Freiburg University Hospital uses Kafka and Streamsheets for dashboarding the utilization of clinical assets
    • 15-Minutes Live Demonstration: Building a financial fraud detection dashboard based on Confluent Cloud, ksqlDB and Cedalo Cloud Streamsheets just using spreadsheet formulas.
  • Apache Kafka Architectures and Fundamentals Sep 28 2020 2:00 am UTC 37 mins
    Henrik Janzon, Solutions Engineer
    Apache Kafka is a community distributed event streaming platform capable of handling trillions of events a day. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log. Since being created and open sourced by LinkedIn in 2011, Kafka has quickly evolved from messaging queue to a full-fledged event streaming platform.



    In this session Martijn Kieboom, Senior Solutions Engineer at Confluent, explains Apache Kafka’s internal design and architecture. by attending you will learn why companies like LinkedIn, ING, Dominos Pizza, Nordea, & Royal Bank of Canada are now sending trillions of messages per day to Apache Kafka. In addition you will come to understand the underlying design in Kafka that leads to such high throughput.



    This talk provides a comprehensive overview of Kafka architecture and internal functions, including:



    •Topics, partitions and segments
    •The commit log and streams
    •Brokers and broker replication
    •Producer basics
    •Consumers, consumer groups and offset
  • Apache Kafka Architectures and Fundamentals Recorded: Sep 25 2020 38 mins
    Henrik Janzon, Solutions Engineer
    Apache Kafka is a community distributed event streaming platform capable of handling trillions of events a day. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log. Since being created and open sourced by LinkedIn in 2011, Kafka has quickly evolved from messaging queue to a full-fledged event streaming platform.



    In this session Martijn Kieboom, Senior Solutions Engineer at Confluent, explains Apache Kafka’s internal design and architecture. by attending you will learn why companies like LinkedIn, ING, Dominos Pizza, Nordea, & Royal Bank of Canada are now sending trillions of messages per day to Apache Kafka. In addition you will come to understand the underlying design in Kafka that leads to such high throughput.



    This talk provides a comprehensive overview of Kafka architecture and internal functions, including:



    •Topics, partitions and segments
    •The commit log and streams
    •Brokers and broker replication
    •Producer basics
    •Consumers, consumer groups and offset
  • Stream me to the Cloud (and back) with Confluent & MongoDB Recorded: Sep 24 2020 65 mins
    Gianluca Natali, Confluent & elix Reichenbach, MongoDB
    Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business.


    In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back.

    Key Learnings

    Modernize your architecture without revolutionizing it.

    Stream your data from multiple applications and data centers into the Cloud and back

    Confluent as the Central Nervous System of your architecture

    MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications

    Why MongoDB and Confluent is such a great combination

    This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
  • Streamsheets and Apache Kafka – Interactively build real-time Dashboards and Str Recorded: Sep 24 2020 57 mins
    Kai Waehner, Technology Evangelist, Confluent Kristian Raue, Founder & Chief Technologist, cedalo
    A powerful stream processing platform and an end-user friendly spreadsheet-interface, if this combination rings a bell, you should definitely attend our 'Streamsheets and Apache Kafka' webinar. While development is interactive with a web user interface, Streamsheets applications can run as mission-critical applications. They directly consume and produce event streams in Apache Kafka. One popular option is to run everything in the cloud leveraging the fully managed Confluent Cloud service on AWS, GCP or Azure. Without any coding or scripting, end-users leverage their existing spreadsheet skills to build customized streaming apps for analysis, dashboarding, condition monitoring or any kind of real-time pre-and post-processing of Kafka or KsqlDB streams and tables.

    Hear Kai Waehner of Confluent and Kristian Raue of Cedalo on these topics:

    • Where Apache Kafka and Streamsheets fit in the data ecosystem (Industrial IoT, Smart Energy, Clinical Applications, Finance Applications)
    • Customer Story: How the Freiburg University Hospital uses Kafka and Streamsheets for dashboarding the utilization of clinical assets
    • 15-Minutes Live Demonstration: Building a financial fraud detection dashboard based on Confluent Cloud, ksqlDB and Cedalo Cloud Streamsheets just using spreadsheet formulas.
  • Building a Secure, Tamper-Proof & Scalable Blockchain with AiB’s KafkaBlockchain Recorded: Sep 24 2020 55 mins
    Kai Waehner, Technology Evangelist, Confluent Stephen Reed, CTO, Co-Founder, AiB
    Apache Kafka is an open-source event streaming platform used to complement or replace existing middleware, integrate applications, and build microservice architectures. Used at almost every large company today, it's understood, battled-tested, highly scalable, and reliable.

    Blockchain is a different story. Being related to cryptocurrencies like Bitcoin, it's often in the news. But what is the value for software architectures? And how is it related to an integration architecture and event streaming platform?

    This session explores blockchain use cases and different alternatives such as Hyperledger, Ethereum, and Kafka-native blockchain implementation. We discuss the value blockchain brings for different architectures, and how it can be integrated with the Kafka ecosystem to build a highly scalable and reliable event streaming infrastructure.
  • An Introduction to KSQL & Kafka Streams Processing with Ticketmaster Recorded: Sep 24 2020 63 mins
    Dani Traphagen, Sr. Systems Engineer, Confluent + Chris Smith, VP Engineering Data Science, Ticketmaster
    In this all too fabulous talk with Ticketmaster, we will be addressing the wonderful and new wonders of KSQL vs. KStreams.

    If you are new-ish to Apache Kafka® you may ask yourself, “What is a large Apache Kafka deployment?” And you may tell yourself, “This is not my beautiful KSQL use case!” And you may tell yourself, “This is not my beautiful KStreams use case!” And you may ask yourself, “What is a beautiful Apache Kafka use case?” And you may ask yourself, “Am I right about this architecture? Am I wrong?” And you may say to yourself, “My God! What have I done?”

    In this session, we’re going to delve into all these issues and more with Chris Smith, VP of Engineering Data Science at Ticketmaster.

    Watch now to learn:
    -Ticketmaster Apache Kafka Architecture
    -KSQL Architecture and Use Cases
    -KSQL Performance Considerations
    -When to KSQL and When to Live the KStream
    -How Ticketmaster uses KSQL and KStreams in production to reduce development friction in machine learning products
  • Apache Kafka® Use Cases for Financial Services Recorded: Sep 23 2020 63 mins
    Tom Green, Senior Solutions Architect, Confluent.
    Traditional systems were designed in an era that predates large-scale distributed systems. These systems often lack the ability to scale to meet the needs of the modern data-driven organisation. Adding to this is the accumulation of technologies and the explosion of data which can result in complex point-to-point integrations where data becomes siloed or separated across the enterprise.



    The demand for fast results and decision making, have generated the need for real-time event streaming and processing of data adoption in financial institutions to be on the competitive edge. Apache Kafka and the Confluent Platform are designed to solve the problems associated with traditional systems and provide a modern, distributed architecture and Real-time Data streaming capability. In addition these technologies open up a range of use cases for Financial Services organisations, many of which will be explored in this talk. .



    By attending this talk you will develop a new understanding of:



    •How Apache Kafka enables a 360 view of the customer

    •How to provide a back bone for distribution of trade data

    •How Kafka and Confluent Platform enable you to meet regulatory requirements for trade information, payments, liquidity

    •How to overcome security concerns with SIEM

    •How to integrate mainframe data with event streaming and the cloud

    •How to reduce fraud with real-time fraud processing, fraud analytics and fraud notifications.

    •How to Develop and enhance microservices.
  • Confluent Control Centre & KSQLDB Recorded: Sep 20 2020 32 mins
    Ala Alsharif, Confluent
    Join Ala Alsharif of Confluent for this jam-packed technology in practice session in which you will experience:
    •A demo of Confluent Control Panel
    •A demo of KSQLDB
    •An insight into the ease with which you can build event streaming applications
    •An overview of Confluent’s stream processing capability
  • End-to-End Integration from the IoT Edge to Confluent Cloud Recorded: Sep 16 2020 27 mins
    Kai Waehner, Technology Evangelist, Confluent + Konstantin Karantasis, Software Engineer, Confluent
    This interactive whiteboard presentation discusses use cases leveraging the Apache Kafka® open source ecosystem as a streaming platform to process IoT data. The session shows architectural alternatives of how devices like cars, machines or mobile devices connect to Apache Kafka via IoT standards like MQTT or OPC-UA.

    Learn how to analyze the IoT data either natively on Apache Kafka with Kafka Streams / KSQL or other tools leveraging Kafka Connect. Kai Waehner will also discuss the benefits of Confluent Cloud and other tools like Confluent Replicator or MQTT Proxy to build bidirectional real time integration from the edge to the cloud.

    Watch now to:
    -Understand end-to-end use cases from different industries where you integrate IoT devices with enterprise IT using open source technologies and standards
    -See how Apache Kafka enables bidirectional end-to-end integration processing from IoT data to various backend applications in the cloud
    -Compare different architectural alternatives and see their benefits and caveats
    -Learn about various standards, APIs and tools of integrating and processing IoT data with different open source components of the Apache Kafka ecosystem
    -Understand the benefits of Confluent Cloud, which provides a highly available and scalable Apache Kafka ecosystem as a managed service
  • Stream me to the Cloud (and back) with Confluent & MongoDB Recorded: Sep 16 2020 65 mins
    Gianluca Natali, Confluent & Felix Reichenbach, MongoDB
    Companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business.


    In this online talk, we’ll explore how and why companies are leveraging Confluent and MongoDB to modernize their architecture and leverage the scalability of the cloud and the velocity of streaming. Based upon a sample retail business scenario, we will explain how changes in an on-premise database are streamed via the Confluent Cloud to MongoDB Atlas and back.

    Key Learnings

    Modernize your architecture without revolutionizing it.

    Stream your data from multiple applications and data centers into the Cloud and back

    Confluent as the Central Nervous System of your architecture

    MongoDB Atlas as the flexible and scalable Modern Data Platform combining data from different sources and powering your frontend applications

    Why MongoDB and Confluent is such a great combination

    This architectural approach will allow you to dynamically scale the customer facing frontend, avoid over provisioning and enable the development team to rapidly implement new functionality which will differentiate you from your competition
  • Using Confluent & Google Apigee to Enable your Events on Hybrid Deployment Model Recorded: Sep 15 2020 58 mins
    Dan Croft, Confluent & Mathilde Fabre, Google Cloud Apigee
    Today’s customers expect channels, whether physical or digital, to blend together into a cohesive connected experience. APIs help enterprises to not only meet customer expectations, but also participate in software ecosystems and provide unprecedented opportunities for reach and economies of scale. By attending this online talk hosted by Google Apigee and Confluent you will learn how APIs allow you to streamline, secure and monetize access to your data and services to deliver a cohesive experience. In addition you will see just how easy it is to integrate the Confluent platform with Google Apigee.


    Register now to learn more about:



    •The challenges faced by CIOs face when it comes to getting value out of data
    • How to simplify the capture, generation and consumption of data, in a secure and monitored way
    • How to deal with the exponentially growing volume of data, devices and systems

    • Why Apigee offers a reliable and scalable API management platform

    • How APIs touch every stage of the digital journey

    • The value of having a layer of microservices that allows for agile developments
  • Confluent Control Centre & KSQLDB Recorded: Sep 10 2020 32 mins
    Ala Alsharif, Confluent
    Join Ala Alsharif of Confluent for this jam-packed technology in practice session in which you will experience:
    •A demo of Confluent Control Panel
    •A demo of KSQLDB
    •An insight into the ease with which you can build event streaming applications
    •An overview of Confluent’s stream processing capability
  • Unleashing Apache Kafka and TensorFlow in the Cloud Recorded: Sep 10 2020 59 mins
    Kai Waehner, Technology Evangelist, Confluent
    In this online talk, Technology Evangelist Kai Waehner will discuss and demo how you can leverage technologies such as TensorFlow with your Kafka deployments to build a scalable, mission-critical machine learning infrastructure for ingesting, preprocessing, training, deploying and monitoring analytic models.

    He will explain challenges and best practices for building a scalable infrastructure for machine learning using Confluent Cloud on Google Cloud Platform (GCP), Confluent Cloud on AWS and on-premise deployments.

    The discussed architecture will include capabilities like scalable data preprocessing for training and predictions, combination of different deep learning frameworks, data replication between data centers, intelligent real-time microservices running on Kubernetes and local deployment of analytic models for offline predictions.

    Join us to learn about the following:
    -Extreme scalability and unique features of Confluent Cloud
    -Building and deploying analytic models using TensorFlow, Confluent Cloud and GCP components such as Google Storage, Google ML Engine, Google Cloud AutoML and Google Kubernetes Engine in a hybrid cloud environment
    -Leveraging the Kafka ecosystem and Confluent Platform in hybrid infrastructures
We provide a central nervous system for streaming real-time data.
Confluent, founded by the creators of open source Apache Kafka®, provides the leading streaming platform that enables enterprises to maximize the value of data. Confluent Platform empowers leaders in industries such as retail, logistics, manufacturing, financial services, technology and media, to move data from isolated systems into a real-time data pipeline where they can act on it immediately.

Backed by Benchmark, Index Ventures and Sequoia, Confluent is based in Palo Alto, California. To learn more, please visit www.confluent.io.

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  • Live at: Aug 3 2020 10:00 am
  • Presented by: Ala Al-sharif, Sales Engineer, Confluent
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