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StreamSets

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  • Monitoring and Protecting Data in Apache Kafka
    Monitoring and Protecting Data in Apache Kafka
    Clarke Patterson - Head of Product Marketing - StreamSets; Kirit Basu - Head of Product Management - StreamSets Recorded: Jan 10 2019 46 mins
    With streaming platforms like Kafka, data arguably never rests. As data flows through and across data sources and destinations, it’s possible that sensitive data goes unnoticed and potentially gets in the hands of the wrong people or land in the wrong applications. In-stream data protection helps ensure that any data flowing through Kafka is protected from unwanted use and exposure.

    In this session you'll learn:
    -How to implement global data protection policies for all streaming data
    -Detecting and protecting sensitive data within individual Kafka pipelines
    -Implementing multiple data security policies to augment data at rest solutions
  • Machine Learning with Tensorflow and Apache Kafka
    Machine Learning with Tensorflow and Apache Kafka
    Clarke Patterson - Head of Product Marketing - StreamSets Recorded: Jan 8 2019 26 mins
    According to the 2018 Apache Kafka Report, 94% of organizations plan to deploy new applications or systems using Kafka this year. At the same time, 77% of those same organizations say that staffing Kafka projects has been somewhat or extremely challenging.

    In this multi-part webinar series, StreamSets will take learnings from our customers and share practical tips for making headway with Kafka. Each session will discuss common challenges and provide step-by-step details for how to avoid them. By the end of the series you'll have many more tools at your disposal for ensuring your Kafka project is a success.

    Kafka and Tensorflow can be used together to build comprehensive machine learning solutions on streaming data. Unfortunately, both can become black boxes and it can be difficult to understand what's happening as pipelines are running. In this talk we'll explore how StreamSets can be used to build robust machine learning pipelines with Kafka.

    In this session you'll learn:
    -How to easily build pipelines with Tensorflow and Kafka
    -Visualizing data in Tensorflow pipelines
    -Creating reusable code fragments for standardizing pipeline best practices
  • Stream into Kafka Series: Five Ways to Scale Kafka
    Stream into Kafka Series: Five Ways to Scale Kafka
    Clarke Patterson, Head of Product Marketing @ StreamSets & Bryan Duxbury, Chief Technologist @ StreamSets Recorded: Dec 20 2018 31 mins
    According to the 2018 Apache Kafka Report, 94% of organizations plan to deploy new applications or systems using Kafka this year. At the same time, 77% of those same organizations say that staffing Kafka projects has been somewhat or extremely challenging.

    In this multi-part webinar series, StreamSets will take learnings from our customers and share practical tips for making headway with Kafka. Each session will discuss common challenges and provide step-by-step details for how to avoid them. By the end of the series you'll have many more tools at your disposal for ensuring your Kafka project is a success.

    When it comes to scaling out Apache Kafka, there's often a trade off between complexity, performance and cost. In this session, we'll look at five different ways to scale up to handle massive message throughput with Kafka and StreamSets In this session you'll learn:

    • Scaling pipelines vertically and horizontally

    • Getting scale by streaming in a cluster

    • Leveraging Kubernetes to elastic scaling

    Speakers: Clarke Patterson, Head of Product Marketing @ StreamSets | Arvind Prabhakar, Co-Founder and CTO @ StreamSets
  • Stream into Kafka Series: Dead Easy Kafka Pipeline Development
    Stream into Kafka Series: Dead Easy Kafka Pipeline Development
    Clarke Patterson, Head of Product Marketing @ StreamSets & Pat Patterson, Technical Director @ StreamSets Recorded: Dec 18 2018 54 mins
    According to the 2018 Apache Kafka Report, 94% of organizations plan to deploy new applications or systems using Kafka this year. At the same time, 77% of those same organizations say that staffing Kafka projects has been somewhat or extremely challenging.



    In this multi-part webinar series, StreamSets will take learnings from our customers and share practical tips for making headway with Kafka. Each session will discuss common challenges and provide step-by-step details for how to avoid them. By the end of the series you'll have many more tools at your disposal for ensuring your Kafka project is a success.

    Getting started with Kafka can be harder than it needs to be. Building a cluster is one thing, but ingesting data into that cluster can require a lot of experience and often a lot of rework. During this session we'll demystify the process of creating pipelines for Apache Kafka and show how you can create Kafka pipelines in minutes, not hours or days. In this session you'll learn:

    -Designing any-to-any Kafka pipelines in minutes
    -Snapshotting and monitoring data in Kafka
    -Editing pipelines quickly and easily without major disruption
  • A Guide to Mastering Analytics in the Hybrid Cloud
    A Guide to Mastering Analytics in the Hybrid Cloud
    Clarke Patterson and Kirit Basu Recorded: Oct 24 2018 45 mins
    According to research firm Gartner, at least 75% of large and global organizations will implement a multicloud-capable hybrid integration platform by 2021. As businesses continue to embrace digital transformation, moving toward self service analytics and cloud analytics executed on big data, a more agile solution for these workloads is needed. StreamSets applies DevOps practices to data management and data integration to reduce the cycle time of data analytics with a focus on automation, collaboration and monitoring. DataOps is essential for a data landscape marked by complexity of data architecture with accelerating change.

    Join StreamSets Head of Product Management, Kirit Basu, and Head of Product Marketing, Clarke Patterson as they discuss how StreamSets customers are taking a DataOps approach to hybrid-cloud integration.

    We'll explore how Fortune 500 customers are using StreamSets to streamline Apache Kafka and Data Lake projects using principles adopted from DevOps.

    This session will cover:

    - Pitfalls to avoid for any hybrid cloud project
    - Key requirements to ensure continuous movement of data across any cloud
    - How StreamSets customers are using the platform to streamline their approach to analytics and data lake projects, while driving real value from DataOps

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