YOU SUN JEONG DATA ANALYTICS WITH DRUID

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1 YOU SUN JEONG DATA ANALYTICS WITH DRUID

2 2 WHO AM I? Senior Software Engineer of SK Telecom Commercial Products Big Data Discovery Solution (~ 16) Hadoop DW (~ 15) PaaS(CloudFoundry) (~ 13) Iaas (OpenStack) (~ 13) Mail to : jerryjung@apache.org

3 3 FOOTPRINTS Big Data Discovery - Streaming Processing Hadoop DW - Realtime NW Analytics 2014

4 4 AGENDA History What is Druid? Druid Architecture Real-Time Ingestion Demo (15m) Cohort Analysis (15m)

5 5 HISTORY Development started at Meta markets in 2011 Apache V2 in early contributors today

6 6 DATA LAKE

7 7 DW VS DATA LAKE

8 8 WHAT IS DRUID Distributed, In-memory Multi-dimensional OLAP store

9 9 PROBLEMS timestamp domain user gender clicked T00:01:35Z bieber.com Female T00:03:03Z bieber.com Female T00:04:51Z ultra.com Male T00:05:33Z ultra.com Male T00:05:53Z ultra.com Female T00:06:17Z ultra.com Female T00:23:15Z bieber.com Female T00:38:51Z ultra.com Male T00:49:33Z bieber.com Female T00:49:53Z ultra.com Female 0 timestamp impressions clicks T00:00:00Z 10 6 timestamp domain user gender clicked T00:01:35Z bieber.com Female T00:03:03Z bieber.com Female T00:04:51Z ultra.com Male T00:05:33Z ultra.com Male T00:05:53Z ultra.com Female T00:06:17Z ultra.com Female T00:23:15Z bieber.com Female T00:38:51Z ultra.com Male T00:49:33Z bieber.com Female T00:49:53Z ultra.com Female 0 timestamp domain gender impressions clicks T00:00:00Z bieber.com Female T00:00:00Z ultra.com Female T00:00:00Z ultra.com Male 3 2

10 10 BIG DATA DISCOVERY Roll-up Summarizing over a dimension Drill-down Focusing (zooming in) Slicing and dicing Reducing dimensions (slice) Picking values of specific dimensions (dice) Pivoting Rotating multi-dimensional cube

11 11 OLAP CUBE Slice and Dice

12 12 IN-MEMORY

13 13 COLUMNAR STORAGE

14 14 DRUID TERMS Data Timestamp Dimension Metric Datasource Segment Granularity

15 15 DRUID ARCHITECTURE REALTIME BROKER HISTORICAL

16 16 ARCHITECTURE - BATCH INGESTION Segments HISTORICAL HDFS HISTORICAL BROKER Queries HISTORICAL

17 17 ARCHITECTURE - STREAMING INGESTION Segments HISTORICAL Streaming REALTIME HISTORICAL BROKER Queries HISTORICAL

18 18 ARCHITECTURE - LAMBDA HDFS Segments HISTORICAL Streaming REALTIME HISTORICAL BROKER Queries HISTORICAL

19 19 GLUE ARCHITECTURE Kafka Indexing Service HISTORICAL Streaming Segments STREAM PROCESSOR (TRANQUILITY) REAL TIME TASK HISTORICAL BROKER Queries HISTORICAL

20 20 REAL WORLD ARCHITECTURE MYSQL COORDI NATOR MEMCACHED #1 HISTORICAL #1 DATA #1 HA PROXY BROKER #1 BROKER #1 MEMCACHED #2 MEMCACHED #3 HISTORICAL #N DATA #N ZK1 ZK2 ZK3 OVERLORD MIDDLE MANAGE #1 MIDDLE MANAGE #N

21 21 DRUID MONITORING

22 22 DRUID DATASOURCE

23 23 RDRUID

24 24 PYDROID

25 25 DEMO Jupyter Notebook(PyDruid) Mobile App User Events for 1 week : 2 billion events Scenario : Unique users Cohort Analysis

26 DEMO

27 27 MAY THE FORCE BE WITH YOU

28 28 REFERENCES Druid : ( : Cohort Analysis : Druid Meetup@Seoul :

29 29 POPIT

30 30 Q&A THANK YOU

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