Le cloud public est une proposition attractive pour les entreprises à la recherche d’agilité dans leurs projets big data, qu’il s’agisse de traiter des données en masse ou d’y exécuter des analyses complexes pour une meilleure prise de décision.

1. ALTUS Platform-as-a-Service
Votre stratégie Big Data dans le cloud public avec l’offre PaaS Cloudera Altus

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Deployment types
On-prem
Data
Application
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
Infrastructure as a
Service
Data
Application
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
Platform as a Service
Data
Application
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
Software as a Service
Data
Application
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
Managed for you

3. 3 © Cloudera, Inc. All rights reserved.
Shift to the cloud
On-premise
Data
Application
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
50% of the market by 2019
Infrastructure as a
Service
Data
Application
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
Platform as a Service
Data
Application
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
Software as a Service
Data
Application
Runtime
Middleware
OS
Virtualization
Servers
Storage
Networking
Managed for you

4. EMA end-user survey respondents indicated the #1 obstacle
to cloud implementations is 'increased complexity'.
Source: "Charting the Expanding Horizons of Big Data", Enterprise Management Associates,
http://www.enterprisemanagement.com/research/asset.php/3339/Charting-the-Expanding-Horizons-of-Big-Data

5. 5 © Cloudera, Inc. All rights reserved.*Subject to terms and conditions
Everything you don’t have to do:
• Install any software
• Install any hardware
• Worry about cluster configuration
• Upgrade/re-configure clusters
• OS upgrades/patching
• Resource Management
Our customers want choices
CLOUDERA ALTUS - SELF-SERVICE

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Altus Workload Analytics
Troubleshoot Issues Faster and Easier
● Get insight into causes of
job failure
● Size clusters and optimize
job performance
● Identify issues even when
they don’t show up as
errors

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CLOUDERA ALTUS
Product Overview
DATA ENGINEERING ANALYTIC DB DATA SCIENCE
MULTI
FUNCTION
DATA CATALOG
GOVERNANCESECURITY INGEST &
REPLICATION
WORKLOAD
MANAGEMENT
MULTI
CLOUD Amazon
S3
Microsoft
ADLS
Machine learning
and analytics
Platform-as-a-Service
with Shared Data
Experience

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CLOUDERA ALTUS
Key Differentiators
• Multi-cloud: Job focused PaaS offering with pre-tuned configurations across
AWS and Azure (GCP on roadmap)
• Multi-function: Unified platform for data engineering, analytic database, and data
science (pre-launch)
• SDX: Integrated shared data experience across multi-function clusters

9. 9 © Cloudera, Inc. All rights reserved.
Altus Data Engineering
Self-service PaaS for Data Engineers
Altus Analytic Database
Self-service BI for analysts
Altus SDX
Cloud native shared metadata store
Transient, single-tenant
Hive Spark or MapReduce cluster
ETL jobs, batch processing
Fast and easy job submission
without cluster management
Available on AWS and Azure
Long lived, multi-tenant
Impala cluster
Data warehousing, analytics
Provides fast and easy analytics
without cluster management
Beta available on AWS and Azure
Shared cataloging
Define and preserve structure and
business context
Unified security & governance across
transient, long-lived, and recurring
workloads
Beta available on AWS and Azure
Product Family
CLOUDERA ALTUS

10. 10 © Cloudera, Inc. All rights reserved.
CLOUDERA
ALTUS
CLOUDERA ALTUS
Architecture Customer Cloud
CLI
Web
SDK
COMPUTE
ALTUS
ANALYTIC
DATABASE
ALTUS DATA
ENGINEERING
STORAGE

11. 11 © Cloudera, Inc. All rights reserved.
ALREADY USING CLOUDERA : just go Hybrid !
Data Engineering Workflow:
Batch ML, Simulations, etc.
1+ Jobs
(e.g.Spark)
Transient Cluster(s):
Altus Managed
Workflow, Monitoring, and Scheduling (e.g. AutoSys, ControlM, Airflow, Talend, Informatica)
1+ Jobs
(e.g. Spark)
On-Premises Cluster:
Bare Metal/Private
Cloud
HDFS
Data
Science
Data
Eng
Analytic
DB
Continuous or
On-Demand
Persistent SDX
Altus Control PlaneSDX: Schema (HMS), Security (Sentry), Lineage/Audit (Navigator)
Object Store (ADLS, S3)
Analytic
Database
(Impala)
Elastic Cluster(s):
Altus Managed
BI Tools
(e.g. Tableau)
SQL Editor
(e.g. Hue)

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ALTUS DEMO

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Setting the scene
Solving a business need
- We work for an outdoor clothing retail company and website sales are
struggling
- We need to figure out whether sales orders correlate with website visits and
what steps we can take to improve sales
- We’ll architect and price out clusters, set up a data pipeline, run analytics on
the data, and then troubleshoot common problems

14. 14 © Cloudera, Inc. All rights reserved.
Already available : data in the Cloud Storage
Sales Orders Raw Logs

15. 15 © Cloudera, Inc. All rights reserved.
1) Data Exploration and Analytics on Sales Orders
Sales Orders
ALTUS SDX
ANALYTIC
DATABASE

16. 16 © Cloudera, Inc. All rights reserved.
2) Data Pipeline - Prepare and clean the web logs
Sales Orders Raw Logs Tokenized logs
DATA
ENGINEERING
ALTUS SDX

17. 17 © Cloudera, Inc. All rights reserved.
3) Analytics on orders and site visits
Sales Orders Raw Logs Tokenized logs
DATA
ENGINEERING
ANALYTIC
DATABASE
ALTUS SDX

18. 18 © Cloudera, Inc. All rights reserved.
CLOUDERA ALTUS
Key Differentiators
• Multi-cloud: Job focused PaaS offering with pre-tuned configurations across
AWS and Azure (GCP on roadmap)
• Multi-function: Unified platform for data engineering, analytic database, and data
science (pre-launch)
• SDX: Integrated shared data experience across multi-function clusters

19. THANK YOU