Introducing Cloudera Navigator Optimizer: Offload Assessments and Active Data Optimization for Hadoop Success

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Cloudera Enterprise can be used as an adaptive, high-performance analytic database, complementing existing data warehouses by relieving the pressure of growing numbers of ETL jobs and BI analytics. But where do you get started when developing your offload strategy? How can you identify which workloads are the best fit for which system? And once you’re up and running, how can you constantly adapt to Hadoop’s changing data needs? Cloudera Navigator Optimizer eases the path for moving the right workloads to Hadoop and then actively manages data allowing you to take advantage of Hadoop’s benefits. Now generally available with the recent release of Cloudera 5.8 and a unique part of Cloudera’s analytic database solution, Navigator Optimizer gives you the workload visibility and assessments to build a predictable offload plan, adapt to evolving data and workload demands, and optimize query performance for Hadoop technologies 3 Things to Learn: Join Ewa Ding, Senior Product Manager at Cloudera, as she discusses: -An overview of Cloudera Navigator Optimizer and its key features -A live demo and key use cases of this web-based tool -What’s next for active data optimization in Hadoop

Software

1© Cloudera, Inc. All rights reserved.
Introducing Cloudera
Navigator Optimizer:
Active Data Optimization for
Hadoop Success
Ewa Ding | Senior Product Manager | Cloudera

2© Cloudera, Inc. All rights reserved.
Agenda
• Overview: Cloudera Navigator Optimizer
• Live Demo
• Roadmap
• Q&A

3© Cloudera, Inc. All rights reserved.
Cloudera’s Analytic Database Solution
OPERATIONS
DATAMANAGEMENT
UNIFIED SERVICES
PROCESS,ANALYZE, SERVE
STORE
INTEGRATE
Identify, offload, &
optimize workloads to
Hadoop
Navigator
Optimizer
Intelligent SQL editor
Hue
Audit, lineage,
encryption, key
management, & policy
lifecycles
Navigator
Integration with the
leading BI tools
BI Partners
Interactive query engine
for BI & SQL analytics
Impala
Large-scale ETL & batch
processing engine
Hive-on-
Spark

4© Cloudera, Inc. All rights reserved.
Successful Hadoop Deployment Needs
Faster & Easier Workload
Offload
Identify suitable workloads and
provide recommendations for
predictable offloads
Big Data Architect
Enable Peak Performance
On Hadoop
Understand usage to actively
manage and optimize data models
to enable peak performance
Database Admin

5© Cloudera, Inc. All rights reserved.
Faster & Easier Workload Offload

6© Cloudera, Inc. All rights reserved.
Why Offload?
EDW Hadoop
Decrease
storage costs &
pressure
Keep more/all
data online
Improve
workload
performance
Replace
monolithic
silos
Get new
insights

7© Cloudera, Inc. All rights reserved.
12 am 12 pm 12 am
1.6M
1.2M
800K
400K
6 am 6 pm
ETL Data
Prep
BI reports Data
Science
Handwritt
en
But where do you start?
Millions of queries
generated every day
• Which ones are compatible
with Hadoop?
• How complex are the
queries?
• What is the true
development cost of
offloading?

8© Cloudera, Inc. All rights reserved.
Identify Duplications
Make the biggest impact

9© Cloudera, Inc. All rights reserved.
Assess Required Effort
Prioritize for faster success
• Assess risks based on
compatibility and
complexity
• Build a predictable
offload plan
• Leverage existing
compatibility for faster
success

10© Cloudera, Inc. All rights reserved.
Predict Development Costs/Time
Build a plan your business can trust

11© Cloudera, Inc. All rights reserved.
Enable Peak Performance on Hadoop

12© Cloudera, Inc. All rights reserved.
Hadoop Challenges for a DBA
Lack of usage visibility for users and
cluster
• What queries are running on Hadoop?
• Which queries are running the longest?
• Who are the top users?
• What data is accessed the most?
Where do you start optimizing?
More Data
of More
Types
Accessed
by More
Users
Across
More and
Different
Workloads
How can you
keep up?

13© Cloudera, Inc. All rights reserved.
Understand Usage
Keep up with data needs
• Unprecedented visibility
into Hadoop workloads
and data usage
• Identify common usage
patterns
• Proactively adjust data
models

14© Cloudera, Inc. All rights reserved.
Identify Optimization Opportunities
Enable peak performance
• Usage-based recommendations
(partitioning, denormalization,
etc)
• Optimization guidance for Hive
and Impala
• Ensure best practices and
enable platform adoption

15© Cloudera, Inc. All rights reserved.
Demo

16© Cloudera, Inc. All rights reserved.
Roadmap
6 Months 12 Months
Easier Offload Use Case Easier Offload Use Case
• Granular ETL workload analysis
• Actionable optimization recommendations
• Comprehensive optimization strategies
Easier Hadoop DBA, SQL Developer
Use Case
• Improved workflow from Navigator to
Optimizer
• Prevent risky queries
Easier Hadoop DBA, SQL Developer
Use Case
• Deep UI alignment and integration with
Navigator
• Improved integration for query performance
monitoring

17© Cloudera, Inc. All rights reserved.
Next Steps
• Get more information on Cloudera Navigator Optimizer
• cloudera.com/products/cloudera-navigator-optimizer.html
• Learn about Cloudera’s Analytic Database
• cloudera.com/solutions/analytic-database.html
• Register for Part 3 of the Webinar Series
• cloudera.com/about-cloudera/events/webinars/5-8-webinar-series.html

18© Cloudera, Inc. All rights reserved.
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Introducing Cloudera Navigator Optimizer: Offload Assessments and Active Data Optimization for Hadoop Success

3. 3© Cloudera, Inc. All rights reserved. Cloudera’s Analytic Database Solution OPERATIONS DATAMANAGEMENT UNIFIED SERVICES PROCESS,ANALYZE, SERVE STORE INTEGRATE Identify, offload, & optimize workloads to Hadoop Navigator Optimizer Intelligent SQL editor Hue Audit, lineage, encryption, key management, & policy lifecycles Navigator Integration with the leading BI tools BI Partners Interactive query engine for BI & SQL analytics Impala Large-scale ETL & batch processing engine Hive-on- Spark

4. 4© Cloudera, Inc. All rights reserved. Successful Hadoop Deployment Needs Faster & Easier Workload Offload Identify suitable workloads and provide recommendations for predictable offloads Big Data Architect Enable Peak Performance On Hadoop Understand usage to actively manage and optimize data models to enable peak performance Database Admin

7. 7© Cloudera, Inc. All rights reserved. 12 am 12 pm 12 am 1.6M 1.2M 800K 400K 6 am 6 pm ETL Data Prep BI reports Data Science Handwritt en But where do you start? Millions of queries generated every day • Which ones are compatible with Hadoop? • How complex are the queries? • What is the true development cost of offloading?

9. 9© Cloudera, Inc. All rights reserved. Assess Required Effort Prioritize for faster success • Assess risks based on compatibility and complexity • Build a predictable offload plan • Leverage existing compatibility for faster success

12. 12© Cloudera, Inc. All rights reserved. Hadoop Challenges for a DBA Lack of usage visibility for users and cluster • What queries are running on Hadoop? • Which queries are running the longest? • Who are the top users? • What data is accessed the most? Where do you start optimizing? More Data of More Types Accessed by More Users Across More and Different Workloads How can you keep up?

13. 13© Cloudera, Inc. All rights reserved. Understand Usage Keep up with data needs • Unprecedented visibility into Hadoop workloads and data usage • Identify common usage patterns • Proactively adjust data models

14. 14© Cloudera, Inc. All rights reserved. Identify Optimization Opportunities Enable peak performance • Usage-based recommendations (partitioning, denormalization, etc) • Optimization guidance for Hive and Impala • Ensure best practices and enable platform adoption

16. 16© Cloudera, Inc. All rights reserved. Roadmap 6 Months 12 Months Easier Offload Use Case Easier Offload Use Case • Granular ETL workload analysis • Actionable optimization recommendations • Comprehensive optimization strategies Easier Hadoop DBA, SQL Developer Use Case • Improved workflow from Navigator to Optimizer • Prevent risky queries Easier Hadoop DBA, SQL Developer Use Case • Deep UI alignment and integration with Navigator • Improved integration for query performance monitoring

17. 17© Cloudera, Inc. All rights reserved. Next Steps • Get more information on Cloudera Navigator Optimizer • cloudera.com/products/cloudera-navigator-optimizer.html • Learn about Cloudera’s Analytic Database • cloudera.com/solutions/analytic-database.html • Register for Part 3 of the Webinar Series • cloudera.com/about-cloudera/events/webinars/5-8-webinar-series.html

Introducing Cloudera Navigator Optimizer: Offload Assessments and Active Data Optimization for Hadoop Success

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Introducing Cloudera Navigator Optimizer: Offload Assessments and Active Data Optimization for Hadoop Success