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Big Data consulting 
Big applications on Cloudera Hadoop
Hadoop as an application framework 
■ Hadoop makes a great solution for web scale data 
warehousing and batch data processing 
■ But there’s more to hadoop than big analytics queries 
alone 
■ Cloudera Hadoop offers a compelling foundation for 
building and deploying large scale distributed internet 
applications
Anatomy of a Hadoop-backed internet application 
Cache service processing tier Web UI service API service 
HBase database 
service 
Spark batch 
SolrCloud search 
service 
HDFS filesystem
Hadoop as an operating system 
■ Hadoop offers many of the foundation components you need to 
build web scale applications: 
■ Message queues [Kafka] 
■ Stream processing [Spark] 
■ Batch processing [Spark, MapReduce] 
■ Database [Hbase] 
■ Search [SolrCloud] 
■ Storage [HDFS]
Cloudera Manager integration 
■ You can use Cloudera Manager to deploy, operate, monitor 
and alert on your service’s custom components 
■ Stuff like Memcached, your APIs, and your web UI 
■ https://github.com/cloudera/cm_ext/wiki 
■ You package your custom services components as parcels 
for distribution across the cluster 
■ A robust framework for packaging, versioning and upgrades
Hadoop cluster 
Component view 
Web 1 Web 2 
Spark 1 Spark 2 Spark N SolrCloud 1 
Hadoop Master 
Hbase 1 Hbase 2 Hbase N SolrCloud N 
/ CM 
Network 
Services 
Hadoop Master 
/ CM 
Firewall 
Memcached 1 Memcached N Services 
Distribution 
Server
Deployment considerations 
■ You will still need the support of foundation network services like DNS, NTP and 
firewall 
■ You may still need to deploy HAProxy - can be on nodes in the hadoop cluster with 
floating IP 
■ http://blog.cloudera.com/blog/2013/08/how-to-achieve-higher-availability-for-hue/ 
■ Use Linux Control Groups (CGroups) to guarantee resource shares - configure from CM 
■ http://www.cloudera. 
com/content/cloudera/en/documentation/core/latest/topics/cm_mc_cgroups. 
html
Wrap up 
■ By extending Cloudera Manager, Hadoop can be used to 
build, deploy and operate complete, web-scale 
applications in a consistent and predictable way 
■ Hadoop can offer much more than data warehousing 
alone 
■ But still a little way to go until Hadoop becomes a fully 
fledged Data Centre scale OS

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Big Data applications on Cloudera Hadoop

  • 1. Big Data consulting Big applications on Cloudera Hadoop
  • 2. Hadoop as an application framework ■ Hadoop makes a great solution for web scale data warehousing and batch data processing ■ But there’s more to hadoop than big analytics queries alone ■ Cloudera Hadoop offers a compelling foundation for building and deploying large scale distributed internet applications
  • 3. Anatomy of a Hadoop-backed internet application Cache service processing tier Web UI service API service HBase database service Spark batch SolrCloud search service HDFS filesystem
  • 4. Hadoop as an operating system ■ Hadoop offers many of the foundation components you need to build web scale applications: ■ Message queues [Kafka] ■ Stream processing [Spark] ■ Batch processing [Spark, MapReduce] ■ Database [Hbase] ■ Search [SolrCloud] ■ Storage [HDFS]
  • 5. Cloudera Manager integration ■ You can use Cloudera Manager to deploy, operate, monitor and alert on your service’s custom components ■ Stuff like Memcached, your APIs, and your web UI ■ https://github.com/cloudera/cm_ext/wiki ■ You package your custom services components as parcels for distribution across the cluster ■ A robust framework for packaging, versioning and upgrades
  • 6. Hadoop cluster Component view Web 1 Web 2 Spark 1 Spark 2 Spark N SolrCloud 1 Hadoop Master Hbase 1 Hbase 2 Hbase N SolrCloud N / CM Network Services Hadoop Master / CM Firewall Memcached 1 Memcached N Services Distribution Server
  • 7. Deployment considerations ■ You will still need the support of foundation network services like DNS, NTP and firewall ■ You may still need to deploy HAProxy - can be on nodes in the hadoop cluster with floating IP ■ http://blog.cloudera.com/blog/2013/08/how-to-achieve-higher-availability-for-hue/ ■ Use Linux Control Groups (CGroups) to guarantee resource shares - configure from CM ■ http://www.cloudera. com/content/cloudera/en/documentation/core/latest/topics/cm_mc_cgroups. html
  • 8. Wrap up ■ By extending Cloudera Manager, Hadoop can be used to build, deploy and operate complete, web-scale applications in a consistent and predictable way ■ Hadoop can offer much more than data warehousing alone ■ But still a little way to go until Hadoop becomes a fully fledged Data Centre scale OS