Cloudera

    • ClouderaNOW, our quarterly virtual event, is designed for all data practitioners including data scientists, data engineers, and analytics professionals who want to learn about our latest and greatest product innovations. Through comprehensive demos, customer use cases, and interactive Q&A, attendees will gain new skills and knowledge to bring back to their organizations.

     

    Join us and be among the first to get early access to products, code drops, and sneak previews of new technologies. Can’t make it? You’ll be able to access all content on-demand to view at your convenience.

     

    What you can expect from ClouderaNOW

    Drive results with the only true hybrid open data lakehouse for trusted AI

    As organizations strive to implement so many emerging technologies, including  Large Language Models (LLM) and real-time analytic applications, your business requires the most advanced open data lakehouse to deliver accurate and consistent insights across a wide range of analytic use cases, wherever your data resides. From data movement to AI and beyond, learn how Cloudera puts your data-driven strategy into action at ClouderaNOW!

    Product demos

    See demonstrations of how to use Cloudera’s open data lakehouse for cybersecurity auditing –one of the most important use cases we’re seeing in the market today–as well as demonstrations of new features in Cloudera Observability that help you maintain the availability and quality of your data stack while also reducing costs. You’ll see examples of how our consulting and support teams helped customers quickly build, train, and deploy AI applications that they can trust.  Remember, you can always try Cloudera for yourself in just a few clicks with our new 5-day trial.

     

    Practical knowledge you can use!

    Whether you’re running mission-critical, complex workloads in hybrid cloud, or you’re just starting your journey with Cloudera, take the guesswork out of implementing the latest innovations and start delivering business impact fast.  Step-by-step walkthroughs, led by Cloudera experts, will help take your analytics and AI capabilities to new heights with use-case examples and practical tips, tricks, and optimizations that you can use today.

     

    Interactive Q&A sessions

    Whether you’re looking to advance your ML capabilities, simplify data management and operations, and deliver high-performance views of your data with Apache Iceberg, or create transparent, observable data flows, we’ve got the answers to all of your questions. Join the Q&A session to ask Cloudera product experts anything and everything so that you’ll be ready for the data, analytics, and AI opportunities that lie ahead.

     

    Agenda


    90 minutes total

    Empower your Cyber Defenders with Cloudera Data Lakehouse

    Carolyn Duby, Field CTO

    Cyber defenders are overwhelmed and burned out as they combat increasingly sophisticated and evolving cyberattacks. Network and log data are essential for threat detection and investigations, but obtaining rapid and accurate results is a significant challenge. Defenders are forced to navigate a maze of disparate security tools with incompatible interfaces and APIs.  Critical network data is missing because many solutions are either too slow or too expensive to handle the terabytes of data generated daily. Security teams aspire to harness advanced analytics and AI, but their fragmented security solutions don't work together.

    Enter Cloudera Open Data Lakehouse, a game changer that unifies network and log data in an open, scalable, and cost-efficient single source of cybersecurity data. This revolutionary approach enables investigators and threat hunters to conduct thorough investigations more efficiently and develop advanced capabilities leveraging AI and ML. Discover how leveraging Apache Iceberg tables to scale your data lakehouse can transform your enterprise's cyber defenses, empowering your team to stay ahead of threats and reduce burnout.

    What’s New in Cloudera Observability Premium?

    David Dichmann, Sr. Director, Product Marketing

    Last year, we introduced Cloudera Observability, a powerful tool that enhances performance and delivers cost-efficiency through advanced monitoring and analytics. It features system and service health monitoring, workload optimization, financial governance, and self-service analytics so you know exactly how and where you can tweak, tune, or automate remediations. Since then, we have added new governance, auditing, and monitoring capabilities including:

    • Real-time monitoring for Data Hub clusters, jobs, and queries

    • Financial governance with new cost factors and capacity forecasting

    • Expanded workload views, alerts, and automated actions

    • Data observability with hot- and cold-table analysis

    We will explain how all these new features work and how you can enable them, with demonstrations of key capabilities and enhancements.

    AI Solution Patterns from Cloudera Professional Services

    Suri Nuthalapati, Data & AI Practice Lead, Cloudera Professional Services, AMER

    If you want to build a real-world AI application, you need more than just an AI model. Cloudera provides a complete platform that includes the data in motion, data engineering, and open data lakehouse capabilities that customers use to build production-grade generative AI apps.

    Cloudera Professional Services (PS) help our customers implement GenAI use cases that leverage and adapt Large Language Models. In this session, which expands on our AI product announcements over the last quarter, you will learn how to:

    • Build an AI Assistant that is customized for your own use cases, following a repeatable reference architecture on Cloudera

    • Scale your AI apps beyond just prototypes

    • Accelerate your AI journey with Cloudera PS

    Empower your AI strategy with trusted data and governance with watsonx and Cloudera

    Jerry Green, World Wide Open Source Sales and Strategy Leader, IBM

    In the context of Generative AI, the demand for trusted, governed, and scalable data has become an imperative for business, serving as the catalyst for driving innovation. In this session, learn how to generate business value with responsible AI - using watsonx, an AI and data platform for generative AI and machine learning. With watsonx, you can train, validate, tune, and deploy foundation models with your own trusted data and apply governance and guardrails – empowering you to use AI responsibility across business processes and streamlining key workflows. Learn from examples of how IBM watsonx and Cloudera work together to empower enterprises to multiply the impact of responsible AI and seize new opportunities for growth.

    Speakers

    Wim Stoop headshot

    Wim Stoop
    Sr. Director, Product Marketing

    Carolyn Duby headshot

    Carolyn Duby
    Field CTO

    David Dichmann headshot

    David Dichmann
    Sr. Director, Product Marketing

    Suri Nuthalapati headshot

    Suri Nuthalapati
    Data & AI Practice Lead, Cloudera Professional Services, AMER

    Jerry Green headshot

    Jerry Green
    World Wide Open Source Sales and Strategy Leader, IBM

    Not sure? Check out what past attendees have to say about ClouderaNOW

    Amazing presentation of some genuinely out of the box feature sets.”

     

    - Independent Consultant

     

    Cloudera has made tremendous progress over the past 6-12 months, it was evident in the presentation.”

     

    - Stony Brook Medicine

     

    Watch now

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