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Cloudera Data Warehouse on Cloud

New technology, New Data Techniques and New Business Theories are driving the evolution and modernisation of the Data Warehouse

To Leverage Data Warehouse Technology – It’s Time To Move on.

During this session, you'll learn how to use Cloudera Data Warehouse to:

• Architect for faster analytics on DW data sets with workload isolation and auto-scaling
• Optimise and tune in self-service with intelligent workload management
Recorded Dec 15 2020 42 mins
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Presented by
Manish Maheswari
Presentation preview: Cloudera Data Warehouse on Cloud

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  • Security and Governance with Cloudera Shared Data Jan 29 2021 2:00 am UTC 32 mins
    Omar Ascofare, Mark Schoeni
    Enterprise IT is overwhelmed trying to manage data security and governance across fragmented systems infrastructures. This impacts security and efficiency and also frustrates business users through a lack of agility and flexibility. With SDX, IT has centralized data security, governance, and control it requires to safely and securely meet the ever-changing business needs.

    During this demo, you’ll learn how Cloudera’s SDX:

    Provides IT with enterprise-grade data security and governance

    Seamlessly and consisten
  • Logging Modernization: Unlock the Value of Machine Data Recorded: Jan 27 2021 59 mins
    Abdelkrim Hadjidj, Laura Chu
    Log Analytics is critical to maintaining and leveraging your business and operational infrastructure, but Logging Modernization could be the difference between new revenue streams and missed opportunities. Join Abdelkrim Hadjidj, Data In Motion Solution Engineering Manager, and Laura Chu, Data In Motion Product Marketing Manager, to hear them discuss:

    The challenges of log analytics

    What is required to unlock the value of machine-generated data

    The approach to Logging Modernization

    Use cases where the customer benefits the most using Cloudera DataFlow
  • Causality for Machine Learning Recorded: Jan 26 2021 60 mins
    Nisha Muktewar, Chris Wallace
    Machine learning allows us to detect subtle correlations in large data sets, and use those correlations to make accurate predictions. However, these subtle correlations are often spurious - they exist only in a particular dataset - and the resultant model performs poorly, or gives unexpected results in the real world. Moreover, reasoning based on spurious correlations is dangerous. Business decisions should be based on things that are true, not things that are true only in a limited dataset. The trouble, of course, is identifying what is spurious and what is not. In this webinar, we’ll explain how combining causal inference with machine learning can help us address these problems.

    WE’LL COVER:
    when you should think about causality and lessons to apply in your data science practice

    the latest research at the intersection of machine learning and causality

    how causal thinking helps us write models that generalize to new circumstances, including an example of the causal approach applied to a computer vision problem
  • Enabling Production ML at Scale: Hands on with Cloudera Machine Learning, MLOps Recorded: Jan 12 2021 41 mins
    Santiago Giraldo, Alex Breshears
    Learn how CML’s MLOps functionality eliminates the model black box and drives secure, transparent ML workflows from data to experimentation to production at scale.

    In this session we will discuss:
    - CML’s robust and flexible model monitoring service for both technical metrics (latency, throughput, etc.) and the mathematical/functional monitoring
    - First-class prediction tracking, metric stores, and Python SDK.
    - How CML’s unique model cataloging and model lineage capabilities eliminate silos and lead to better, faster results
  • Enterprise Machine Learning with Cloudera Machine Learning (CML) Recorded: Jan 7 2021 30 mins
    David Bao, Mark Schoeni
    Administrators can deploy ML workspaces for teams with secure access to data and tools for end-to-end data science workflows

    Users get on-demand access to auto-scaling, auto-suspending compute resources and their preferred editors, tools and libraries, all within administrative guardrails for security and cost

    Teams can collaborate to accelerate projects from data engineering and exploration to model training and experiment tracking, to deploying and managing models via interactive apps in production
  • Cloudera Data Warehouse on Cloud Recorded: Dec 15 2020 42 mins
    Manish Maheswari
    New technology, New Data Techniques and New Business Theories are driving the evolution and modernisation of the Data Warehouse

    To Leverage Data Warehouse Technology – It’s Time To Move on.

    During this session, you'll learn how to use Cloudera Data Warehouse to:

    • Architect for faster analytics on DW data sets with workload isolation and auto-scaling
    • Optimise and tune in self-service with intelligent workload management
  • Leveraging machine learning in the cloud with Cloudera Recorded: Nov 25 2020 42 mins
    Manoj Shanmugasundaram, Senior Solutions Engineer, Cloudera ASEAN
    Join Cloudera in this webinar as they explain how your business can become AI-First leveraging the cloud with Cloudera Machine Learning, part of the new Cloudera Data Platform (CDP).

    Cloudera will demonstrate how IT teams, data scientists and data engineers can have on-demand access to business data, open tools and computing resources for end-to-end machine learning - bringing the agility and economics of the cloud to self-service data science in a secure and governed way.
  • Time Series Analytics - Making Use Cases Come to Life Recorded: Nov 20 2020 64 mins
    Michael Ger, Managing Director, Manufacturing & Automotive
    Join us in this session, as we:
    - Harness real-time time-series data to boost production and improve profitability
    - Leverage time series data as a stepping stone to machine learning and predictive maintenance
    - Learn through a practical demo how Cloudera tackles time series data in the data lifecycle
  • Scale Analytics with Confidence in Public Cloud Recorded: Nov 18 2020 28 mins
    Tristan Stevens, Principal Solutions Architect, Cloudera UK
    Public cloud is a powerful tool, full of potential cost savings, agility, and flexibility. Actually moving to the cloud requires careful consideration and planning in order to achieve the promised benefits. Without due care, attention, and strategy, organizations quickly find they have created yet another costly, high maintenance data silo.

    With more than 1,000 projects under their belts, Cloudera Professional Services provides not only a sizable pool of technical experts but also short, focused, and packaged engagements to help organizations take full advantage of the cloud and avoid the pitfalls.

    In this session, we will discuss:
    - Why organizations should move to the cloud
    - How organizations move workloads to the public cloud with confidence
    - Cloudera professional services available to de-risk the process
  • Optimizing Multi-function Workloads in Hybrid and Multi-cloud Recorded: Nov 10 2020 57 mins
    David Dichmann, Raman Rajasekhar
    Cloudera Data Platform (CDP) supports everyone in the enterprise with multi-function analytics in a hybrid and multi-cloud environment. CDP uses Workload Experience Manager (Workload XM) to provide a complete view of what’s running across on-premises and cloud, millions of queries and hundreds of data sets. With Workload XM’s intelligent workload management, you easily maintain optimum performance and cost by keeping your clusters healthy and productive.

    Cloudera Workload XM provides enhanced visibility and actionability to efficiently migrate, analyze, optimize, and scale workloads, on-premises and in any cloud. Users experience reduced migration risk, faster troubleshooting and root cause analysis, greater uptime, and higher resource utilization.

    Hear from Raman Rajasekhar as he shares how using Cloudera Workload XM helps data administrators:
    Proactively optimize workloads

    Improve application performance

    Balance infrastructure capacity for all stages in a data pipeline
  • Data lifecycle on CDP Private Cloud Recorded: Oct 27 2020 46 mins
    Sushant Rao, Sid Shaik, David Bao
    CDP Private Cloud is introducing new analytic experiences targeting the main pillars of every data analytics platform, starting with Cloudera Machine Learning (CML) and Cloudera Data Warehouse (CDW). These experiences have been developed from the ground up as containerized services orchestrated by Kubernetes.

    With this new architecture, CDP can provision and scale these analytics in minutes and allocate just enough resources to meet current demand, including peak loads. CML and CDW also feature new end-user interfaces to simplify the end-to-end workflows of their respective data analytics domains.

    JOIN US FOR THIS WEBINAR TO UNDERSTAND HOW CDP PRIVATE CLOUD:
    Offers an easy, scalable data mart with a rich SQL editor in CDW

    Allows users to create and visualize complex job pipelines in CML

    Secures and governs these integrated analytics with Cloudera SDX
  • Enhance Your CDH and HDP Clusters in the Cloud Recorded: Oct 22 2020 57 mins
    Sushant Rao, Gaurav Patel
    Due to cloud’s agility, elasticity, and global scale, many companies have deployed their Cloudera Data Hub (CDH) and/or Hortonworks Data Platform (HDP) clusters to this environment. Using the cloud in an Infrastructure-as-a-Service model, companies can easily add (virtual) infrastructure as needed to their clusters. But, neither CDH nor HDP was designed to take advantage of cloud technologies.

    Join us for this webinar as we discuss Cloudera Data Platform (CDP) - Public Cloud, which has been built from the ground up to take advantage of the cloud, including object stores and containers. See how CDP - Public Cloud delivers a cloud-native experience with:

    Lower costs

    Faster analytics

    Easier security and governance

    Reduced operational risk

    This webinar will include a comparison of running CDH and HDP in the cloud with CDP - Public Cloud as it relates to functionality, TCO, and customers’ experiences. We will also discuss how easy it is to move your workloads from CDH / HDP in the cloud to CDP - Public Cloud.
  • Streams Messaging - a deep dive into running Kafka on CDP Public Cloud Recorded: Sep 17 2020 29 mins
    Mark Schoeni, Anthony Huinker
    Join us for a demo of Cloudera Data Platform (CDP) followed by Q&A. We’ll cover how you can connect the lifecycle of your data, including:

    - Making sense of all your available data at unprecedented speed and scale

    - Building end-to-end data pipelines spanning edge devices all the way to the public cloud

    - Analyzing large amounts of event and time-series data

    - Deploying and managing production machine learning workspaces for teams while maintaining adjustable guardrails for cost

    - Delivering enterprise-grade data security and governance

    And more!
  • An Integrated Multi-Stage Pipeline with Cloudera Data Platform (CDP) Recorded: Sep 9 2020 37 mins
    Krishna Maheshwari, Mark Schoeni
    Join us weekly for a live demo of Cloudera Data Platform (CDP) followed by Q&A. We’ll cover how you can connect the lifecycle of your data, including:

    Making sense of all your available data at unprecedented speed and scale

    Building end-to-end data pipelines spanning edge devices all the way to the public cloud

    Analyzing large amounts of event and time-series data

    Deploying and managing production machine learning workspaces for teams while maintaining adjustable guardrails for cost

    Delivering enterprise-grade data security and governance

    And more!

    An Integrated Multi-Stage Pipeline with Cloudera Data Platform (CDP)

    Often, individual teams within organizations race towards their own point solutions for quick wins. This, however, creates silos that limit the sharing of data and insights across divisions and opens the organization up to significant risks from gaps in governance and security.

    During this demo, you’ll learn how Cloudera Data Platform (CDP) Public Cloud experiences are designed to:

    Help your organization make sense of all your available data at unprecedented speed and scale

    Deliver data to the hands of your users that need it without compromising security and governance
  • Accelerate your time-to-insight with CDP Data Center Recorded: Sep 3 2020 55 mins
    Lakshmi Randall, Srinkanth Venkat, Wim Stoop, Matthew Schumpert
    CDP Data Center is the industry’s most powerful, comprehensive data management and analytics platform for on-premises IT environments. Powered by a 100% open source distribution that combines the best technologies from Cloudera and Hortonworks, CDP provides the foundation for extending your workloads to private cloud.

    JOIN THIS WEBINAR TO:
    Learn how CDP Data Center innovates your data analytics core to deliver faster, real-time insights, and accelerates the development of data-driven applications.

    See how CDP Data Center can improve performance through tenant isolation and deliver fine-grained access controls that democratize data throughout the organization.

    Understand how and when you should upgrade your existing Cloudera or Hortonworks environment to CDP Data Center.
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: Dec 15 2020 2:00 am
  • Presented by: Manish Maheswari
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