Slides used during the presentation and demonstration 'QlikView & Big Data' at the Business Discovery World Tour on 9 October 2013 by Mischa van Werkhoven and Michael Robertshaw. Big Data. We've all heard about it. We all think we should do something with it. But do we know exactly what it is and how to create value from it? How reasonable are our expectations? This session focuses on the myths of Big Data, technologies involved as well as how QlikView can be used to add relevance and context to Big Data for the end user.

1. QlikView & Big Data
Mischa van Werkhoven
Senior Solution Architect
QlikTech
Michael Robertshaw
Senior Solution Architect
QlikTech

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3. Key Takeaways
• The Most Common Purpose of Big Data Is to Produce Small Data
• Big Data is About Relevance and Context
• Know What You Want to Achieve

4. Agenda
• What is Big Data?
• Myths about Big Data
• Gartner
– Hype Cycle
– Top Challenges
• Who’s doing it?
• What technologies are they using?
• Hadoop Components
• The Bloor Group
– The Intelligent Thing
– Cost vs Benefit
• How to do it using QlikView
• Demonstration
“Big Data Analytics refers to analytics on data that is not able to be
performed on a standard relational data warehouse in a timeframe
and cost that is acceptable for its business purpose”

5. What is Big Data?

6. / 6
http://www.qlikview.com/us/landing/open-data-challenge
Take Action Open Data Challenge

7. Paper Print Computer Internet
Big Data happens in every part of History
• Medium to write
ideas and
information
• Not enough writers
to disseminate
• Technology to
distribute
information
• No place to store
• Place to store
• Can’t keep up with
computing
requirements
• Distributed
computing globally
• Too many Emails
to read
We always create more than we can consume!

8. Success characterized by:
Veracity
Visualization
Value
Data characterized by:

9. The Myth of Big Data

10. In Many Cases, Reality Looks More Like This

11. Hype Cycle
Big Data
In-Memory Analytics

12. Gartner – Top Big Data Challenges
You need to determine
your goals/objectives
QlikView may help you
with these challenges

13. Who is doing it?

14. Who is doing it?
Who What Why
Telco Usage and Location Analysis,
Customer Interactions, Services
Data Analysis
Operational Excellence
Financial
Services
Trading Analysis, Portfolio
Analysis
Improve Profit,
Minimize Risk
Utilities Smart Metering Analysis Operational Excellence
Travel and
other Retail
Cross Sell Opportunity
Realisation
Increase Sales
Customer
Behaviour
Click Stream Analysis, Location
Analysis, Social Media
Sentiment Analysis
Customer Experience,
Loyalty, Increase Sales

15. What technologies are they using?

16. What Technologies?
• Hadoop
– Cloudera Hadoop
– HortonWorks Hadoop
– Teradata Aster
• Relational Technologies
– Teradata
– HP Vertica
– IBM Netezza
– EMC GreenPlum
– Amazon Redshift (Postgres)

17. Hadoop Overview
ODBC
2.0
ODBC
2.5 Improvement
Hive 3h17m 51s 232x faster
Impala 9m7s 11s 50x faster

18. Big Data Expectations

19. How Reasonable are your Expectations?
Notebook
HDD
Server
HDD
SSD
RAM
Hadoop
Tape
Performance
Cost

20. The Bloor Group
Hard Disk
Drives (HDD)
Solid State
Storage (SSD)
Random Access
Memory (RAM)
Speed (t/TB) 3300s 1000-300s 1s
Price $/TB $ 50 $ 500 $ 4 500
• Keep data in memory when the value obtained from processing it is high
• Leave data on disk when it is inactive or the value from processing it is low

21. How to do it using QlikView

22. The Value in Big Data Comes from Context and Relevance
Machine data, web
data, cloud data
Big Data
cluster
Operational
systems
Data
warehouse
Google
BigQuery

23. The Value in Big Data Comes from Context and Relevance
Business Discovery is about enabling the users to find their own path
through a pre-defined Dataset.
Structure needs to be defined by a QlikView document developer,
though content could be refreshed periodically (conventionally)
or impacted and triggered by the user (on demand).

24. The Value in Big Data Comes from Context and RelevanceMoreHistory
More Categories
They’re both the same number of bricks!
The same volume of data, same schema.
You choose what is relevant to your analysis.

25. Using QlikView with Big Data
1. Conventional Reloads with Document Chaining
2. Direct Discovery – Hybrid Approach
3. Reload on Demand

26. 1. Conventional Reloads
• Reload available data into
multiple QVW documents
segmented by Region and
current Financial Year
reloaded Monthly
• Entry Document contains
Details for All Regions for
Current Period only.
Reloaded Daily
• Use Document Chaining to
navigate to/amongst Region-
Year documents
• A lot of Publisher capacity
and Data Replication

27. 2. Direct Discovery
• Reload available data into
multiple QVW documents
segmented by Region and
current Financial Year
reloaded Monthly
• Entry Document provides
Trends for All Regions for
Any Period.
Dimensions reloaded Daily.
QvS generates aggregate
SQL to draw Charts
• Use Document Chaining to
navigate to/amongst
Region-Year documents
containing Detail
• Performance dependent
upon Database

28. 3. On Demand Reloads
• Entry Document provides
some Aggregate KPIs for All
Regions, but mostly just
Dimension selection.
• When User selects sufficient
criteria, a Link is enabled to
pass criteria to custom
ASPX page.
• ASPX page causes User
document to be Reloaded
with chosen criteria
• User Document contains
relevant subset entirely in
Memory
• Reload requires a little
patience but then
performance is great.

29. Demonstration

30. Demo – Document Chaining

31. Demo – Hybrid Approach - Direct Discovery
// Direct Discovery v2
DIRECT QUERY
DIMENSION
OrderID,
ProductID
MEASURE
UnitPrice,
Quantity,
Discount
FROM “ Northwind"."dbo"."Order Details";
// Direct Discovery v1
DIRECT SELECT
OrderID,
ProductID
FROM “ Northwind"."dbo"."Order Details";
// Conventional QlikView
[Order Details]:
SQL SELECT
OrderID,
ProductID,
UnitPrice,
Quantity,
Discount
FROM “Northwind"."dbo"."Order Details";

32. Demo – Hybrid Approach
http://demo.qlikview.com/detail.aspx?appName=American%20Birth%20Statistics.qvw

33. Key Takeaways
1. The Most Common Purpose of Big Data Is to Produce Small Data
2. Big Data is About Relevance and Context
3. Know What You Want to Achieve

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Questions?
Business Discovery
World Tour
9 October 2013

35. Thank You!