SPARK STREAMING Spark Hadoop User Group Munich Meetup 2016

•

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Comsysto Reply GmbH

Processing Live data with Spark Streaming

Data & Analytics

SPARK STREAMING
... IN 10 MINUTES
sven.tessmann@comsysto.com
@setema

WHY STREAMING?

FROM "DATA AT REST"
TOWARDS "DATA IN MOTION"

LinkedIn processes 1.1 Trillion Messages a day
(2015, using Kafka)
Microsoft processes 10TB of O ce 365 Event Data a day
(2015, using Spark)

"FAST DATA"

GENERATE
"BUSINESS REALTIME"
INSIGHTS

WHAT ABOUT SPARK
STREAMING?

"scalable, high-throughput, fault-tolerant
stream processing framework"

Spark Ecosystem

DISCRETIZED STREAM (DSTREAM)
a sequence of distributed datasets (RDDs) representing a
continuous stream of data

DStream Transformations

Execution Model

LET'S SEE SOME CODE

THANK YOU!

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2. WHY STREAMING?

3. FROM "DATA AT REST" TOWARDS "DATA IN MOTION"

4. LinkedIn processes 1.1 Trillion Messages a day (2015, using Kafka) Microsoft processes 10TB of O ce 365 Event Data a day (2015, using Spark)

6. GENERATE "BUSINESS REALTIME" INSIGHTS

7. WHAT ABOUT SPARK STREAMING?

8. "scalable, high-throughput, fault-tolerant stream processing framework"

9. Spark Ecosystem

10. DISCRETIZED STREAM (DSTREAM) a sequence of distributed datasets (RDDs) representing a continuous stream of data

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13. Execution Model

14. LET'S SEE SOME CODE