1. Meet Mission Critical SLAs with Big Data

2. 2 3. Essence of BusinessExpectedTimelyUnconstrained3 4. Changing Tides4 5. Emerging ChallengesETL EngineerBI Analyst VB SQL PL/SQLFULLDATAMARTS PROCESSINGEXPORT PARTIALFTP ETL PROCESSINGPL/SQLEXPORT INCRE- ODSELT MENTALSTAGE EXPORT RAW DATA LOAD SourcesETL Systems Database Platform5 6. Emerging ChallengesChannelsDesignReconciliationAwareness6 7. Options for Processing MapReduce Streaming SQL Impala9 8. Apache Flume DetailsHTTP Sensor Source HDFS Syslog Web Server Source CustomRetail POS Source HBase Data generators11 9. Encouraging Innovation12 10. Ask Bigger Questions: How do we prevent fraud?A global financial services firm can morequickly & accurately find fraud whilesaving $30 million in IT costs.13 11. Ask Bigger Questions: How can we improve our support teams productivity?NetApp AutoSupport processes 600,000+ phone home transactions weekly to offer proactive customer support.14 12. Key Takeaways Collocation Flexibility Efficiency15 13. Starting Point Accelerate your ETLSelect a particularlychallenging use caseCreate a parallelenvironmentImplement pipeline onCloudera16 14. Questions? 15. Thank You!cloudera.com/clouderasessions