Fast Data: Selecting The Right Streaming Technologies For Data Sets That Never End

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Why have stream-oriented data systems become so popular, when batch-oriented systems have served big data needs for many years? Batch-mode processing isn’t going away, but exclusive use of these systems is now a competitive disadvantage. You’ll learn that, while fast data architectures are much harder to build, they represent the state of the art for dealing with mountains of data that require immediate attention. In this webinar, Lightbend’s Big Data Architect, Dr. Dean Wampler, examines the rise of streaming systems for handling time-sensitive problems. We’ll explore the characteristics of fast data architectures, and the open source tools for implementing them. We’ll also take a brief look at Lightbend’s upcoming Fast Data Platform (FDP - http://lightbend.com/fast-data-platform ), a comprehensive solution of OSS and commercial technologies. FDP includes installation, integration, and monitoring tools tuned for various deployment scenarios, plus sample applications to help you sort out which tools to use for which purposes. We’ll cover: *Learn step-by-step how a basic fast data architecture works *Understand why event logs are the core abstraction for streaming architectures, while message queues are the core integration tool *Use methods for analyzing infinite data sets, where you don’t have all the data and never will *Take a tour of open source streaming engines, and discover which ones work best for different use cases *Get recommendations for making real-world streaming system responsive, resilient, elastic, and message driven *Explore an example streaming application for the IoT: telemetry ingestion and anomaly detection for home automation systems LEARN MORE: lightbend.com/fast-data-platform

Software

WEBINAR
Fast Data: Selecting The Right Streaming
Technologies For Data Sets That Never End
Dr. Dean Wampler (@deanwampler)

Upgrade your grey matter 
Get Dean’s free O’Reilly book from Lightbend
bit.ly/fastdata-ORbook

Logs
Persistence
S3
HDFS
DiskDiskDisk
SQL/
NoSQL
Search
YARN
Resource
Manager
Node
Manager
N
M
Batch
MapReduce
…
Spark
Flume
SqoopDBs

New Streaming, “Fast Data” Architecture
(but it also supports batch)

Mesos, YARN, Cloud, …
Logs
Sockets
REST
ZooKeeper Cluster
ZK
Mini-batch
Spark
Streaming
Batch
Spark
…
Low Latency
Flink
Ka9a Streams
Akka Streams
Gearpump
Beam
…
Persistence
S3
HDFS
DiskDiskDisk
SQL/
NoSQL
Search
1
5
6
3
11
KaEa Cluster
Ka9a
Microservices
RP Go
Node.js …
2
4
7
8
9
10
Beam

• Low latency? How low?
• High volume? How high?
• …

• Low latency? How low?
• High volume? How high?
• Integration with other tools? Which ones?
• …

• Low latency? How low?
• High volume? How high?
• Integration with other tools? Which ones?
• Kinds of data processing, analytics? Which ones?
•Bulk processing of records?
•Individual processing of events?

Mini-batch
Spark
Streaming
Batch
Spark
…
Low Latency
Flink
Ka9a Streams
Akka Streams
Gearpump
Beam
…
Persistence
S3
HDFS
DiskDiskDisk
SQL/
NoSQL
Search
1
5
6
KaEa Cluster
Ka9a
2
7
8
9
10
Beam

Upgrade your grey matter 
Get Dean’s free O’Reilly book from Lightbend
http://bit.ly/fastdata-ORbook

For more information on
Lightbend Fast Data Platform:
lightbend.com/fast-data-platform

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1. WEBINAR Fast Data: Selecting The Right Streaming Technologies For Data Sets That Never End Dr. Dean Wampler (@deanwampler)

2. Upgrade your grey matter  Get Dean’s free O’Reilly book from Lightbend bit.ly/fastdata-ORbook

3. Streaming Engines in Context…

4. Classic Batch Architecture: Hadoop

5. Logs Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search YARN Resource Manager Node Manager N M Batch MapReduce … Spark Flume SqoopDBs

6. Logs Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search YARN Resource Manager Node Manager N M Batch MapReduce … Spark Flume SqoopDBs

7. Logs Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search YARN Resource Manager Node Manager N M Batch MapReduce … Spark Flume SqoopDBs

8. Logs Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search YARN Resource Manager Node Manager N M Batch MapReduce … Spark Flume SqoopDBs

9. Logs Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search YARN Resource Manager Node Manager N M Batch MapReduce … Spark Flume SqoopDBs

10. New Streaming, “Fast Data” Architecture (but it also supports batch)

11. Mesos, YARN, Cloud, … Logs Sockets REST ZooKeeper Cluster ZK Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 3 11 KaEa Cluster Ka9a Microservices RP Go Node.js … 2 4 7 8 9 10 Beam

12. Mesos, YARN, Cloud, … Logs Sockets REST ZooKeeper Cluster ZK Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 3 11 KaEa Cluster Ka9a Microservices RP Go Node.js … 2 4 7 8 9 10 Beam

13. Mesos, YARN, Cloud, … Logs Sockets REST ZooKeeper Cluster ZK Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 3 11 KaEa Cluster Ka9a Microservices RP Go Node.js … 2 4 7 8 9 10 Beam

14. Mesos, YARN, Cloud, … Logs Sockets REST ZooKeeper Cluster ZK Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 3 11 KaEa Cluster Ka9a Microservices RP Go Node.js … 2 4 7 8 9 10 Beam

15. Mesos, YARN, Cloud, … Logs Sockets REST ZooKeeper Cluster ZK Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 3 11 KaEa Cluster Ka9a Microservices RP Go Node.js … 2 4 7 8 9 10 Beam

16. Mesos, YARN, Cloud, … Logs Sockets REST ZooKeeper Cluster ZK Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 3 11 KaEa Cluster Ka9a Microservices RP Go Node.js … 2 4 7 8 9 10 Beam

17. Mesos, YARN, Cloud, … Logs Sockets REST ZooKeeper Cluster ZK Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 3 11 KaEa Cluster Ka9a Microservices RP Go Node.js … 2 4 7 8 9 10 Beam

18. Mesos, YARN, Cloud, … Logs Sockets REST ZooKeeper Cluster ZK Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 3 11 KaEa Cluster Ka9a Microservices RP Go Node.js … 2 4 7 8 9 10 Beam

19. Streaming Engines

20. Features to Consider

21. • Low latency? How low? • …

22. • Low latency? How low? • High volume? How high? • …

23. • Low latency? How low? • High volume? How high? • Integration with other tools? Which ones? • …

24. • Low latency? How low? • High volume? How high? • Integration with other tools? Which ones? • Kinds of data processing, analytics? Which ones? •Bulk processing of records? •Individual processing of events?

25. Example Streaming Engines

26. Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 KaEa Cluster Ka9a 2 7 8 9 10 Beam

27. Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 KaEa Cluster Ka9a 2 7 8 9 10 Beam

28.

29. Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 KaEa Cluster Ka9a 2 7 8 9 10 Beam

30. Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 KaEa Cluster Ka9a 2 7 8 9 10 Beam

31. Mini-batch Spark Streaming Batch Spark … Low Latency Flink Ka9a Streams Akka Streams Gearpump Beam … Persistence S3 HDFS DiskDiskDisk SQL/ NoSQL Search 1 5 6 KaEa Cluster Ka9a 2 7 8 9 10 Beam

32. Upgrade your grey matter  Get Dean’s free O’Reilly book from Lightbend http://bit.ly/fastdata-ORbook

33. For more information on Lightbend Fast Data Platform: lightbend.com/fast-data-platform

Fast Data: Selecting The Right Streaming Technologies For Data Sets That Never End

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Fast Data: Selecting The Right Streaming Technologies For Data Sets That Never End