Business Integration withCDH 4

(including Apache Hadoop)

Alexander Alten-Lorenz, Cloudera INCMuenchen, 22. February 2013

Challenges

Volume Velocity Variety

Business Integration• CRM

• Analytics

• Social Networks

• Marketing

• Document Store

• Search-Indices

• Invoicing

• Risk Management

• Universal Data Access

• Data Governance

• SAP / Salesforce

• Article and Storage Management

Use Cases

Risk Management

• Problem: Scoring of Customers and Projects

• Solution: Finance History, Communication and Pattern Detection

• User: Finance, Insurance

Recommendations

• Problem: Recommend convenient products to purchased products, matching the interests

• Solution: Statistical analysis of interests, purchase history, detect matching swarm patterns

• Users: eCommerce, Advertising

Graph-Analytics

• Problem: Detect trends and curves in large distributed networks (Wired, Social, Mesh)

• Solution: Collecting and Data Mining all data, applying to self learning patterns to detect trends and forecasts

• User: Enterprises, Gov, NGO, Provider, Telco, Stock Exchange

Detection of Dangerous Use

• Problem: Spam, Credit Card Abuse

• Solution: Pattern Detection, Prioritizing, heuristically Analytics

• Users: Retail, Finance, Reseller

Text Analysis

• Problem: Detect the meaning of the written word (Sentiment Analysis)

• Solution: Keyword patterns, Coherences detection, Path detection

• Users: eCommerce, Social Media Service Provider, Attitude Research

Amounts of real Data

• Ebay: 12 PB, Search Optimization

• Facebook: 50 PB, Logs, Reports

• Walmart, 4.5 PB, Customer Transactions

http://wiki.apache.org/hadoop/PoweredByhttp://en.wikipedia.org/wiki/Big_data

Apache Hadoop

• Software Framework for large amounts of unstructured data

• Apache-License

• Two main cores

• HDFS: Distributed data storage

• MapReduce: Distributed data handling

Hadoop ClusterData Node

Data Node: 4-16 Cores, 4-16 Disks, 8-64 GB RAM, 1-10GB Network

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Hadoop Distributed File System

File

Block Block Block Block Block Block Block

Data Node Data Node Data Node

MapReduceData

QueryRDBMS

Data

QueryHadoop

Features

HDFS MapReduce

Distribution

Fault Tolerance

Scalability

✔ ✔

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Hadoop Eco System

MapReduce

HDFSJava API

RDBMS

Sqoop Flume

Logs

Connectors

...

Pig

Scripts

Hive

SQL HBase

Oozie

Zookeeper

Mahout

Hue

Whirr

Avro

Example of a Integration

Scope• Successful Audits per ISO 27001

• Analyze different Data Sources from different Data Bases and CRM Systems

• Realtime and Lifetime Statistics per Product

• Periodical Analytic and Statistic Jobs

• Weekly Re-Import into CRM

• Single Queries per User (Analyst) over a Secured GUI

Solution Path• Cluster Authentication and Authorization via

Kerberos and crypted data communication / Data Protection

• Sqoop Connector to CRM / DB

• Terradata, Oracle, Postgres, MySQL, MS SQL

• Hive - HBase Integration

• Hive Analytics, controlled automatically over Oozie Workload Orchestrator

• Hue Shell, Authentication via Kerberos SPNEGO

Sqoop

HiveHBase

Kerberos(AD, MITv5)

Oozie

HUEEnduser

CRM Park CDHIntegration Authentification

Automation

Real Time

How to Manage?

Cloudera Manager• Automated Deployment

• Monitoring

• Service Management

• Log Management

• Events and Alerts

• Reporting

• Support Integration

Cloudera

• Founded 2009 in Palo Alto

• Cloudera's Distribution Including Hadoop

• CDH4 / Cloudera Manager 4

• > 320 employees worldwide

• Training, Consulting, Support, Development

• Enterprise Tools

Thank You!

• alexander@cloudera.com

• Twitter: @mapredit

• Blog: mapredit.blogspot.com

• http://www.cloudera.com/

• http://hadoop. apache.org/