Stream into Kafka Series: Dead Easy Kafka Pipeline Development
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
RecordedDec 18 201854 mins
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StreamSets is proud to be hosting the first annual DataOps Summit in San Francisco, California at the Hilton San Francisco Financial District on September 3rd-5th. The summit will feature a full day of data operations training and two days of comprehensive content featuring major brands, high-scale use cases, ecosystem partners, and community heros. Keynote discussions will feature data luminaries from companies like Humana, Snowflake, GSK and Ericsson explaining how they built a discipline of DataOps and a culture that reaps the benefits. Take advantage of the opportunity to uplevel your skillset, hear from thought leaders and network with your peers.
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
Continuous Dataflows that Unleash Pervasive Intelligence
The StreamSets DataOps platform enables companies to build, execute, operate and protect batch and streaming dataflows. It is powered by StreamSets Data Collector, award-winning open source software with approximately 2,000,000 downloads to date from thousands of companies. The commercial StreamSets Control Hub is the platform's cloud-native control plane through which enterprises design, monitor and manage complex data movement that is executed by multiple Data Collectors. Unique Intelligent Pipeline technology automatically inspects the data in motion, detecting unexpected changes, errors and sensitive data in-stream.
Global 2000 customers use StreamSets for data lake ingestion, Apache Kafka enablement, cybersecurity, IoT, customer 360, GDPR compliance and more. In 2017, the company tripled its customer count and quadrupled revenues.
Stream into Kafka Series: Dead Easy Kafka Pipeline DevelopmentClarke Patterson, Head of Product Marketing @ StreamSets & Pat Patterson, Technical Director @ StreamSets[[ webcastStartDate * 1000 | amDateFormat: 'MMM D YYYY h:mm a' ]]54 mins