Presentation about the Cloudera platform – a bit of history and the use cases. By Nuno Barreto – Partner & Big Data Lead @XpandIT

1. Cloudera – One
Platform to Rule
Them All

2. • A Bit of History
• The Platform
• The Use Cases
• Summary
AGENDA

3. A BIT OF HISTORY

4. RDBMS VS CLOUDERA
…according to Google Trends (since January 2010)

5. HADOOP – THE EARLY DAYS
• Hadoop Distributed Filesystem (HDFS)
• Hadoop MapReduce

6. X86 X86 X86 X86
NODE1 NODE2 NODE3 NODEN
...

8. HADOOP OVERTIME
• Hive – SQL-like query
• Pig - Programming model
• HBase – NoSQL database (operational)
• YARN – Resource Manager
• Impala – Online SQL (analytics)
• Spark – Streaming, Batch, ML
• Kafka – Messaging
… new additions

9. HADOOP ECOSYSTEM TODAY

10. THE PLATFORM

13. CLOUDERA ENTERPRISE DATA HUB
• Processing and Storage Core is 100% open source
• Only tested – at large scale – Apache components
get in
• Value added features (operations and governance)
• Reactive and Pro-active & Predictive Support
• Easy, Fast & Secure
• The best partners – us 

15. CLOUDERA MANAGER
• Operations
• Monitoring
• Configuration Management
• Multi-tenant Management
• Backup & Disaster Recovery
• Extensible Integration
… for cluster operations

16. CLOUDERA DIRECTOR
… makes Cloudera cloud ready

18. CLOUDERA NAVIGATOR
• Audit & Trace
• Alert
• Lineage
• Encryption
• Optimizer
… for cluster governance & security

19. THE USE CASES

20. HADOOP – THE ULTIMATE DATA TOOLKIT

21. DATA LAKE / ENTERPRISE DATA HUB
Sensor
Data
Blogs
Emails
Web
Logs
Docs
(e.g.PDF)
Images
Videos
CRM ERP Legacy
3rd
Patry
Extract (includesFileTansfer),TransformandLoad
Scale-out DistributedDatabase
Visualization(Reporting,ExplorationandSandboxing)
RawDataSources Operational Systems
DW&DATAMARTs

22. DATA LAKE / ENTERPRISE DATA HUB

23. MESSAGING

24. MESSAGING

25. IOT
Devices with sensors &
actuators
Devices with sensors &
actuators
Gateway
Gateway
EDH

26. IOT

27. DATA SCIENCE

28. DATA SCIENCE

29. CLOUDERA DATA
SCIENCE WORKBENCH
Use R, Python or Scala
No need to sample
Collaborative research
Bring Analysis to the data
Secure by default
Flexible Deployment

30. SUMMARY

31. SUMMARY
• Hadoop is an eco-system, not two projects
• Spark will not replace Hadoop, Spark “is”
Hadoop
• Cloudera has a complete offering
• Cloudera is for Batch & NRT
• Cloudera is for Analytics & Operational
… key takeaways

32. THANK YOU

33. Credits
• Includes icons (pages 8 and 15) made by Freepik from www.flaticon.com
• Cloudera images from www.cloudera.com