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What's new in CDP Private Cloud Base?

WE'LL DIVE INTO THE FOLLOWING KEY NEW FEATURES:

-Ozone object storage, a new storage paradigm for drastically better scalability than HDFS, solving challenges with name node limitations and inefficiencies with small file storage.

-YARN Queue Manager enhancements including dynamic queue configuration and dealing in absolutes when administering/managing your cluster configuration, giving you even more granular control over your cluster resources.

-Automatic translation of access policies from Hive to HDFS with the new Ranger Resource Mapping Server.

Additionally, we'll also give you a sneak peek of what to expect in the upcoming CDP Private Cloud Base 7.1.5 release.
Recorded May 3 2021 61 mins
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Presented by
Vineeth Varughese, Karthik Krishnamoorthy
Presentation preview: What's new in CDP Private Cloud Base?

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    Santiago Giraldo, Shaun Ahmadian
    JOIN THIS WEBINAR TO:

    - Discover how CDP Data Engineering, Machine Learning, and Data Visualization work together to scale AI use cases

    - Learn how to create explainable predictive applications for decision-makers, powered by automated data pipelines and machine learning models

    - Enable your business to take action with secure and governed end-to-end machine learning with SDX
  • What's new in CDP Private Cloud Base? Recorded: May 3 2021 61 mins
    Vineeth Varughese, Karthik Krishnamoorthy
    WE'LL DIVE INTO THE FOLLOWING KEY NEW FEATURES:

    -Ozone object storage, a new storage paradigm for drastically better scalability than HDFS, solving challenges with name node limitations and inefficiencies with small file storage.

    -YARN Queue Manager enhancements including dynamic queue configuration and dealing in absolutes when administering/managing your cluster configuration, giving you even more granular control over your cluster resources.

    -Automatic translation of access policies from Hive to HDFS with the new Ranger Resource Mapping Server.

    Additionally, we'll also give you a sneak peek of what to expect in the upcoming CDP Private Cloud Base 7.1.5 release.
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    META-LEARNING: LEARNING TO LEARN
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    About sentiment analysis for unlabeled data using linear models in R/sparklyr

    How to train Deep Neural Networks to perform sentiment analysis on training data then apply that model to new data using Python

    How you can use Cloudera’s Sentiment Analysis Applied Machine Learning Prototypes to power use cases across your business today

    Plus get access to instructions for building and deploying the Applied ML Prototype on Sentiment Analysis.
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    AS PART OF THE WEBINAR YOU CAN LEARN MORE ABOUT:
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    How to enable a secure, compliant, scalable, open source enterprise data cloud in days – instead of weeks (or months) with no vendor lock in with IQVIA’s PaaS solution

    How to extend your cloud capability for sensitive data (PII, PHI, HIPAA)

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  • Data Engineering in the enterprise: How to accelerate and scale your data pipeli Recorded: Feb 18 2021 60 mins
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    For enterprise organizations, building robust data pipelines has become increasingly resource-intensive. Modern data engineering requires more advanced data lifecycle integration for streamlining security, governance, and maintaining data quality to enable advanced analytics and machine learning at scale. To tackle these challenges, enterprise organizations need a comprehensive and integrated data engineering experience for data pipeline preparation and management.

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Advancing digital transformation with an enterprise data cloud
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights.

To that end, we deliver an Enterprise Data Cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open-source community, Cloudera accelerates digital transformation for the world’s largest enterprises.

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  • Live at: May 3 2021 5:00 am
  • Presented by: Vineeth Varughese, Karthik Krishnamoorthy
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