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Introducing Workload XM 8.7.18

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Cloudera, Inc.
Cloudera, Inc.

Workload Experience Manager (XM) gives you the visibility necessary to efficiently migrate, analyze, optimize, and scale workloads running in a modern data warehouse. In this recorded webinar we discuss common challenges running at scale with modern data warehouse, benefits of end-to-end visibility into workload lifecycles, overview of Workload XM and live demo, real-life customer before/after scenarios, and what's next for Workload XM.

Technology
1 of 14
WORKLOAD XM
2 © Cloudera, Inc. All rights reserved. A 1-minute video
3 © Cloudera, Inc. All rights reserved. Cloudera Workload XM Proactively optimize Workloads, Application Performance, and Infrastructure Capacity for Data Warehousing, Data Engineering, and Machine Learning Environments Migrat e Analyze Optimize Manage
4 © Cloudera, Inc. All rights reserved. Migrate Comprehensive Risk Assessment Easy Onboarding of New Applications Reduced Time to Production
5 © Cloudera, Inc. All rights reserved. Analyze Monitor Application Health Self-service Analytics Identify Anti-patterns & Bad Hardware
6 © Cloudera, Inc. All rights reserved. Optimize Achieve Performance Predictability Prescriptive Tuning & Workload Balancing Resource-to-Cost Optimizer
7 © Cloudera, Inc. All rights reserved. Manage Define, Monitor & Manage SLAs Proactively Help Eliminate Bottlenecks Dynamic Capacity Planning
8 © Cloudera, Inc. All rights reserved. How do I share petabytes of verified data across thousands of users with varied skill-sets while maintaining SLAs and cost? Fix data health issues like small files Better metadata handoff between ETL & BI Enhanced visibility within and across clusters Proactive De-risking through early detection & elimination of bottlenecks Reduced time-to-production through quick troubleshooting & tuning Self-service analytics through prescriptive recommendations
9 © Cloudera, Inc. All rights reserved. Workload XM - Users Personas Hadoop / System / Database Admin Data Architects Data Engineering / BI Developer Account Exec / Sales Engg Cloudera Support Team System Integrator
10 © Cloudera, Inc. All rights reserved. DEMO
11 © Cloudera, Inc. All rights reserved. Workload XM - Highlights Self-service Analysis Assist migration to CDH Visibility into clusters Baseline, performance tune & troubleshoot Impala/Hive/SparkDeep health checks Identify rogue applications
12 © Cloudera, Inc. All rights reserved. Workload XM - What’s coming? Custom define workloads Prescriptive Recommendations Actionable Capabilities
13 © Cloudera, Inc. All rights reserved. Why Workload XM? - No Installation - Deep Expertise based on usage from customers across the globe - Comprehensive workload definition spanning execution engines and data models - A non-intrusive and secure metrics collection - Deep integration with execution engines for SLA management - No one understands our platform better!
© Cloudera, Inc. All rights reserved. Let us help you in this journey ! Contact us at sales@cloudera.com

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Introducing Workload XM 8.7.18

  • 2. 2 © Cloudera, Inc. All rights reserved. A 1-minute video
  • 3. 3 © Cloudera, Inc. All rights reserved. Cloudera Workload XM Proactively optimize Workloads, Application Performance, and Infrastructure Capacity for Data Warehousing, Data Engineering, and Machine Learning Environments Migrat e Analyze Optimize Manage
  • 4. 4 © Cloudera, Inc. All rights reserved. Migrate Comprehensive Risk Assessment Easy Onboarding of New Applications Reduced Time to Production
  • 5. 5 © Cloudera, Inc. All rights reserved. Analyze Monitor Application Health Self-service Analytics Identify Anti-patterns & Bad Hardware
  • 6. 6 © Cloudera, Inc. All rights reserved. Optimize Achieve Performance Predictability Prescriptive Tuning & Workload Balancing Resource-to-Cost Optimizer
  • 7. 7 © Cloudera, Inc. All rights reserved. Manage Define, Monitor & Manage SLAs Proactively Help Eliminate Bottlenecks Dynamic Capacity Planning
  • 8. 8 © Cloudera, Inc. All rights reserved. How do I share petabytes of verified data across thousands of users with varied skill-sets while maintaining SLAs and cost? Fix data health issues like small files Better metadata handoff between ETL & BI Enhanced visibility within and across clusters Proactive De-risking through early detection & elimination of bottlenecks Reduced time-to-production through quick troubleshooting & tuning Self-service analytics through prescriptive recommendations
  • 9. 9 © Cloudera, Inc. All rights reserved. Workload XM - Users Personas Hadoop / System / Database Admin Data Architects Data Engineering / BI Developer Account Exec / Sales Engg Cloudera Support Team System Integrator
  • 10. 10 © Cloudera, Inc. All rights reserved. DEMO
  • 11. 11 © Cloudera, Inc. All rights reserved. Workload XM - Highlights Self-service Analysis Assist migration to CDH Visibility into clusters Baseline, performance tune & troubleshoot Impala/Hive/SparkDeep health checks Identify rogue applications
  • 12. 12 © Cloudera, Inc. All rights reserved. Workload XM - What’s coming? Custom define workloads Prescriptive Recommendations Actionable Capabilities
  • 13. 13 © Cloudera, Inc. All rights reserved. Why Workload XM? - No Installation - Deep Expertise based on usage from customers across the globe - Comprehensive workload definition spanning execution engines and data models - A non-intrusive and secure metrics collection - Deep integration with execution engines for SLA management - No one understands our platform better!
  • 14. © Cloudera, Inc. All rights reserved. Let us help you in this journey ! Contact us at sales@cloudera.com
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