WhoAmI

Entrepreneurial geek

Micro-clusters for BigData enthousiasts

BigData Services

Belgian Community

Agenda

Part 1 : BigData

Part 2 : IoT and BigData

Part 3 : Discussions

BigDataPart 1

The Buzz

Started by Google● GFS Paper (2003)● MapReduce Paper (2004)

Storing and processing “Big” Data~ multiple petabytes

The Need

Large amount of data

IOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIIIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIIIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIIOIOIIOIIOIOIOIIIOIOOOOI

The Need

High Speed at which data becomes available IOII OO

IOIIOIII

OIII

IOII OOIOII

OIIIOIII

IOII OOIOII

OIIIOIII

The Need

The Different ways data is structured

IOIIIOII

IOII

IOIIIOIIIOII

IOII

IOII

IOII

IOIIIOII

IOIIIOIIIOIIIOII

IOII

IOIIIOII

IOII

IOII IOII

IOII

IOII

IOIIIOII

IOIIIOIIIOII IOII

Technologies

Technologies

Batch Processing:

Realtime Processing:

STORM

Hadoop

Platform for Batch Processing

Yahoo!Doug CuttingMike Cafarella

Fetching and processing webpages

Storage: HDFS

Processing: YARN

Processing: MapReduce

Apache Storm

Platform for Realtime ProcessingLooks like Complex Event Processing (CEP)

BacktypeNathan MarzAcquired by Twitter

Like “ever-running” MapReduce jobs

Apache Storm

Apache Storm

Apache Storm

Apache Storm

Apache Storm

Myths

“BigData is all about storing data”

“BigData is only for big companies having lots of data”

“There are no BigData use cases in Belgium”

“BigData is only being used for analytics”

Dangers

People are hard to find

Technologies are “different”

Too much technologies

You need hardware

Incorrect information

IoT & BigDataPart 2

Iot as datasource

Use data from “Things”

As raw as possibleNo matter which format

Store everything

Iot as datasource

Iot as datasource

Adapt the processing flow based on the data flowing through it:

- Disable faulty sensors- Take processing shortcuts

Iot as datasource

Control other “Things” based on the data flowing through:

- Rain predicted => disable sprinklers

- Check-out at work, trip home will take 60 min => start heating in 30 min

Would be great to link with a rule-engine (Drools e.g.)

Iot as datasource

Store data for more complex processing:- Pattern or behaviour recognition- Forecasting- Prevention

Iot as datasource

Storage:

Every event is a recordEvery event is immutableEvery event has:

a sourcea timestampa typea value

Iot as datasource

Iot as Platform - Idea

Quantity > Quality

One platform toStoreProcess

Nodes can beAnything with a controllerAnything that can store data

Iot as Platform - Risks

Complex Resource ManagementExploit Capabilities

Complex Data ManagementFragmented Data

Complex Security ModelObfuscate Data

Iot as Platform - Gains

Keep your friends close, but your data closer.

Delegate processing

Use resources in the best way possible

What do you think?

Part 3