Tim Moreton CTO@timmoreton

Real Time

BIOver

C*

#CassandraEU

When NOSQL, when Hadoop?

2

#CassandraEU

Discovery Analytics

UnstructuredWarehouses

Data Mining

?Machine Learning

Operational Intelligence

Dashboards Real-time Decisions

Alerting

!

When NOSQL, when Hadoop?

2

#CassandraEU

Discovery Analytics

UnstructuredWarehouses

Data Mining

?Machine Learning

Operational Intelligence

Dashboards Real-time Decisions

Alerting

!

Complex, long-runningTotal lack of structure

Low latency, fresh data Some structure to exploit

When NOSQL, when Hadoop?

2

#CassandraEU

Discovery Analytics

UnstructuredWarehouses

Data Mining

?Machine Learning

Operational Intelligence

Dashboards Real-time Decisions

Alerting

!

Complex, long-runningTotal lack of structure

Low latency, fresh data Some structure to exploit

When NOSQL, when Hadoop?

2

#CassandraEU 3

• Scalable. No single point of {failure, bottleneck}• Fast. Especially for writes•Available. Effortless Multi-DC support•Dependable. Widespread mission-critical use•Counters. Building block of analytics!

WE C*

#CassandraEU 4

#CassandraEU 5

Acunu: Real-time Streaming BI

#CassandraEU 5

Acunu: Real-time Streaming BI

#CassandraEU 5

Acunu: Real-time Streaming BI

Events

#CassandraEU 5

Acunu: Real-time Streaming BI

Analytics turns events and SQL-like queries into C* operations

Events

#CassandraEU 5

Acunu: Real-time Streaming BI

Analytics turns events and SQL-like queries into C* operations

Events

Cassandra stores raw events and intermediate results

#CassandraEU 5

Acunu: Real-time Streaming BI

Analytics turns events and SQL-like queries into C* operations

Events

Cassandra stores raw events and intermediate results

Acunu Dashboards provides real-time visualization

Alerts

#CassandraEU 6

#CassandraEU

count by day count by hour of day

uniques by hashtag

1 Define aggregate cubesCREATE CUBE APPROX TOP(keyword) WHERE browser, time GROUP BY time

6

#CassandraEU

count by day count by hour of day

uniques by hashtag

2 New events update cubes

1 Define aggregate cubesCREATE CUBE APPROX TOP(keyword) WHERE browser, time GROUP BY time

6

#CassandraEU

count by day count by hour of day

uniques by hashtag

2 New events update cubes

1 Define aggregate cubesCREATE CUBE APPROX TOP(keyword) WHERE browser, time GROUP BY time

6

#CassandraEU

count by day count by hour of day

uniques by hashtagraw events

2 New events update cubes

1 Define aggregate cubesCREATE CUBE APPROX TOP(keyword) WHERE browser, time GROUP BY time

6

#CassandraEU

count by day count by hour of day

uniques by hashtagraw events

2 New events update cubes

1 Define aggregate cubesCREATE CUBE APPROX TOP(keyword) WHERE browser, time GROUP BY time

3 Rich instant queries over cubesSELECT TOP(keyword) FROM table WHERE browser = ‘chrome’ AND time BETWEEN..GROUP BY d1, d2, ... JOIN ... HAVING.. ORDER BY ..

+

6

#CassandraEU

count by day count by hour of day

uniques by hashtagraw events

2 New events update cubes

1 Define aggregate cubesCREATE CUBE APPROX TOP(keyword) WHERE browser, time GROUP BY time

3 Rich instant queries over cubesSELECT TOP(keyword) FROM table WHERE browser = ‘chrome’ AND time BETWEEN..GROUP BY d1, d2, ... JOIN ... HAVING.. ORDER BY ..

+

4 Drilldown to raw events

6

#CassandraEU

count by day count by hour of day

uniques by hashtagraw events

2 New events update cubes

1 Define aggregate cubesCREATE CUBE APPROX TOP(keyword) WHERE browser, time GROUP BY time

3 Rich instant queries over cubesSELECT TOP(keyword) FROM table WHERE browser = ‘chrome’ AND time BETWEEN..GROUP BY d1, d2, ... JOIN ... HAVING.. ORDER BY ..

+

5 Backfill new cubes using historic data

6

#CassandraEU

{ time: 13:50:11,latitude: 12.5,longitude: -43.4,duration: 24,device_type: .. }

Simplifying ingest Built-in visualizations

Easy Real-time Analytics for Devs

7

SELECT MAX(duration)WHERE device_type = ‘iphone’ GROUP BY longitude, latitude;

Rich queries, agile denormalization

#CassandraEU

Six Steps to Enlightenment

Install1 Create tables2 Define

cubes3 Turn on data feed4 Build

widgets5 Refine cubes6

With Acunu Analytics 4.3

8

#CassandraEU

Six Steps to Enlightenment

Install1 Create tables2 Define

cubes3 Turn on data feed4 Refine

cubes6

Dev Dev Dev Dev Business Dev

Build widgets5

With Acunu Analytics 4.3

8

#CassandraEU

Enlightenment for Mere Mortals

Install1 Upload events2 Turn on

data feed4Build widgets3 Refine

widgets5

With Acunu Analytics 5.0

9

#CassandraEU

Enlightenment for Mere Mortals

Install1 Upload events2 Turn on

data feed4Build widgets3 Refine

widgets5

Dev

With Acunu Analytics 5.0

9

#CassandraEU

Enlightenment for Mere Mortals

Install1 Turn on data feed4Build

widgets3 Refine widgets5

Dev Business

With Acunu Analytics 5.0

Upload events2

Automatically infer tables and schema from sample events

9

#CassandraEU

Enlightenment for Mere Mortals

Install1 Turn on data feed4 Refine

widgets5

Dev BusinessBusiness

With Acunu Analytics 5.0

Build widgets3Upload

events2

Drag-and-drop Explore view infers the cubes needed to build the widget you want

9

#CassandraEU

Enlightenment for Mere Mortals

Install1 Turn on data feed4 Refine

widgets5

Dev DevBusinessBusiness

With Acunu Analytics 5.0

Build widgets3Upload

events2

9

Out-of-the-box HTTP, Flume, Kafka and MQintegrations, plus new API to build your own

#CassandraEU

Enlightenment for Mere Mortals

Install1 Turn on data feed4

Dev Dev BusinessBusinessBusiness

With Acunu Analytics 5.0

Build widgets3Upload

events2 Refine widgets5

Widgets can be refined and repopulated with historic data automatically

9

#CassandraEU

Enlightenment for Mere Mortals

Install1 Turn on data feed4

Dev Dev BusinessBusinessBusiness

With Acunu Analytics 5.0

Build widgets3Upload

events2 Refine widgets5

9

#CassandraEU

Enlightenment for Mere Mortals

Install1 Turn on data feed4

Dev Dev BusinessBusinessBusiness

With Acunu Analytics 5.0

Build widgets3Upload

events2 Refine widgets5

9

#CassandraEU 10

acunu.com/download