Exove Extends September 19th, 2017 Open Source Tools for Big Data, Teemu Heikkilä, Emblica Short introduction to open source tools around big data analytics and development with such tools

1. OPEN SOURCE TOOLS FOR BIG DATA
Helsinki 19.9.2017
Teemu Heikkilä
Emblica

2. EMBLICA
We’re super small company of 5
people
We’re into Data Engineering,
DevOps and ML
We’re hiring!

3. Let’s start with something simple
first

4. What is “big data”?

5. Just a buzzword…

6. …but, still it has a meaning.

7. 1TB of data, is it BIG?

9. Volume Velocity Variety

10. We are not really in Facebook scale
but is it worth to talk about big data
tools?

11. Answer: Yes!

12. Question: Why?

13. Because what works with petabytes of
data, almost certainly works with
gigabytes

14. Helsinki City bike station usage
17M rows of JSON

15. You will get:
Fault tolerance, reliability, scalability and working
models of processing data of any amounts

16. … but it doesn't mean you need
fancy frameworks necessarily

18. History of data processing
with free software

19. NOW200320011997 2006
Google published
whitepaper about solving
storage problems with
web indexing. Carafella
and Cutting implemented
the white paper as part of
the Nutch project
GFS
HISTORY OF HADOOP
Doug Cutting started to
develop first version of
Lucene at Yahoo!
START Cutting moved the NDFS
and MapReduce related
codebase under new
project called Hadoop
HADOOP
Cutting open sourced
Lucene and it was moved
under Apache Foundation
Mike Cafarella joined with
Cutting to start Apache
Nutch - project to index
whole internet.
OPEN SOURCED

22. Ideas, (whitepapers)
DFS
MR
BigTable
Dynamo
FOSS Implementations
HDFS
Hadoop MR
HBase
Cassandra

23. (Notable) formats of Big data

24. ACTIVITY DATA
Clickstreams
App usage
Application specific usage
Music listening
Video streaming
Money usage
Credit cards
Transactions

25. SENSOR DATA
Locations
Spatial data
Sensor metrics
IoT devices
Industrial and consumer
Time series

26. UNSTRUCTURED DATA
Machine logs,
Unstructured text,
natural language
Sound, Photos, Video

27. Use cases
What are you using those fancy logos for?

28. CASE 1: EVENT SOURCING SQL-DATABASES
Working legacy systems that used
MySQL-database as a realtime data
storage.
No historical data saved ever.
Delete means delete
Update means update
We could touch the legacy code to
save the changes
But we don’t have to

29. Maxwell’s daemon
Reads MySQL replication binary log
Produces stream of JSON-formatted changes

30. ?

31. KAFKA - DISTRIBUTED APPEND-ONLY LOG
Kafka was originally developed by
LinkedIn, open sourced 2011
Distributed, append-only log
Great tool for delivering reliably
millions of arbitrary formatted
messages
Scales by partitioning and adding new
nodes
(c) Ch.ko123 / CC BY 4.0

32. (c) Apache Spark
+ Fast writes (queue/log)
+ Fast reads (in-memory)
- Latency
- Reliable event delivery
is essential
KAPPA ARCHITECTURE

33. MATERIALIZING EVENT SOURCES
Change stream
Change stream
Change stream
Materialized
‘User’-table
Materialized
‘Resource’-table
Materialized
‘Usage’-table

35. APACHE SPARK
Originally developed at the University
of California, Berkeley's AMPLab
General large-scale data processing
framework
Based on MapReduce architecture but
keeps intermediate results in memory
instead of saving them to slow disks
like Hadoop
(c) Ch.ko123 / CC BY 4.0
Supports lot’s of different data
sources
Programming APIs for Scala, Java or
Python

36. EKS-STACK
Elasticsearch is based on Lucene but
it’s more than just search engine, it
can be used to provide real time
analytics even for end users, it’s
usually used to store the aggregated
data
Kibana is great tool for the developers
and for internal use to discover and
analyze the data lying inside ES
Spark is used to process the events,
produce the needed aggregates and
ingest data into Elasticsearch so it can
be queried

37. Screenshot by elastic.co

38. Event
Collector
Processing AnalyticsEventsUser agent
CASE 2: EVERY ANALYTICS PIPELINE EVER

39. Event source
(demo)

40. What are we sampling?

42. State
N
ew
State
Event Session

43. New session:
started 07:17:09, duration 0s, OPEN
Existing session:
started 07:17:09, duration 5s, OPEN
Existing session:
started 07:17:09, duration 10s, OPEN
Existing session:
started 07:17:09, duration 14s,
paused 07:17:23, CLOSED

44. New session:
started 07:17:09, duration 0s, OPEN
Existing session:
started 07:17:09, duration 5s, OPEN
Existing session:
started 07:17:09, duration 10s, OPEN
Existing session:
started 07:17:09, duration 14s,
paused 07:17:23, CLOSED

45. You can find me at:
@theikkilap
teemu@emblica.fi
https://emblica.fi
Any questions?
Thanks!
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