Qlik Sense & Big Data. Strategies for Enterprise Deployments

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Adrian Costar

3:02:31

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1. Intro and Content

1. Course Content.mp4

03:08

2. Introduction to To Big Data

1. Introduction.mp4

00:20

2. What is big Data.mp4

05:38

3. Qlik and Big Data.mp4

06:18

3. Big Data Processing

1. Big Data Processing.mp4

00:33

2. Big Data Processing Strategy.mp4

02:48

3. Partitioning.mp4

02:43

4. Big Data Processing High Level Diagram.mp4

02:10

4. Offline Data Extraction

1. Offline Data Extraction.mp4

02:09

2. Simple Offline Data Cases.mp4

03:57

3. Simple Offline Data Diagram and Environment.mp4

02:03

4.1 BigDataOffline.zip

4.2 entire qliksense script.zip

4.3 extractofflinedata.zip

4. Simple Offline Data Extract Example.mp4

09:15

5. Versioning Offline Data Extract.mp4

02:12

6.1 BigDataOfflineVersioning.zip

6.2 entire qliksense script.zip

6.3 extractofflinedataversioning.zip

6. Versioning Ofline Data Extract Example.mp4

06:26

7. Timestamped Offline Data Cases.mp4

01:32

8.1 BigDataOfflineTimestamp.zip

8.2 extractofflinedatatimestamp.zip

8.3 script extractofflinedatatimestamp.zip

8. Timestamped Offline Data Extract Example.mp4

06:26

9. AdHoc Extract Offline Data.mp4

01:24

10.1 BigDataOfflineTimestamp.zip

10.2 extractofflineadhoc.zip

10.3 script extractofflineadhoc.zip

10. AdHoc Extract Offline Data Example.mp4

03:51

5. Offline Data Transform

1. Transform Offline Data.mp4

01:38

2. Simple Offline Data Transformation.mp4

01:38

3.1 BigDataOfflineTimestamp.zip

3.2 script transformofflinedata.zip

3.3 transformofflinedata.zip

3. Simple Offline Data Transformation Example.mp4

06:00

4. AdHoc Tranform Offline Data.mp4

01:17

5.1 BigDataOfflineTimestamp.zip

5.2 script transformofflinedata.zip

5.3 transformofflinedata.zip

5. AdHoc Tranform Offline Data Example.mp4

03:07

6.1 BigDataOfflineTimestamp.zip

6.2 datarealign.zip

6.3 script datarealign.zip

6. Data Realingment Example.mp4

05:03

6. Big Data ETL on Databases

1.1 wideworldimporters-standard.zip

1. Data Extraction on DB Data.mp4

03:01

2. Liniar Data Extraction.mp4

02:03

3.1 BigDataDBLinear.zip

3.2 extractdbdatalinear.zip

3.3 script extractdbdatalinear.zip

3. Liniar Data Extraction Example.mp4

05:26

4. Parallel Data Extraction.mp4

04:23

5.1 BigDataDBParallel.zip

5.2 extractdbtaskallocation.zip

5.3 extractdbtaskexecution1.zip

5.4 script extractdbtaskallocation.zip

5.5 script extractdbtaskexecution1.zip

5. Parallel Data Extraction Example.mp4

08:58

6.1 BigDataDBParallel.zip

6.2 extractdbdataadhoc.zip

6.3 script extractdbdataadhoc.zip

6. AdHoc Extraction Example.mp4

05:09

7. Data Transformation.mp4

02:10

8.1 BigDataDBParallel.zip

8.2 transformdbdata.zip

8.3 transformdbdata.zip

8. Data Transformation Example.mp4

04:28

9. Data Load.mp4

01:06

10. Optimezed Load Cases and Examples.mp4

06:40

11. Dashboard Data Load Cases.mp4

07:47

12.1 BigDataDBParallel.zip

12.2 loadexample - novelty shop.zip

12.3 loadexample - novelty shop.zip

12.4 loadexample 2014.zip

12.5 script loadexample 2014.zip

12. Dashboard Data Load Examples.mp4

07:19

7. ODAG and Dinamic Views

1. Introduction to ODAG.mp4

03:18

2.1 odagtemplatesales.zip

2.2 script odagtemplatesales.zip

2. ODAG Template Example.mp4

02:19

3.1 odagindexsales.zip

3.2 script odagindexsales.zip

3. ODAG Index Example.mp4

02:56

4.1 image settings link.zip

4.2 odagindexsales.zip

4.3 odagtemplatesales.zip

4.4 script odagindexsales.zip

4.5 script odagtemplatesales.zip

4. ODAG Bindings and ODAG Link Example.mp4

04:07

5.1 odagtemplatesales.zip

5.2 script odagtemplatesales.zip

5. ODAG Other Bindings Parameters.mp4

09:39

6. Dinamic Views.mp4

01:09

7.1 dynamicviews.zip

7.2 odagtemplatesales.zip

7.3 script dynamicviews.zip

7.4 script odagtemplatesales.zip

7. Dinamic Views Example.mp4

04:45

8. Advanced Data Exploration.mp4

01:18

9.1 ODAG.zip

9.2 odagdataexplorationindexsales.zip

9.3 odagdataexplorationtemplatesales.zip

9.4 script odagdataexplorationindexsales.zip

9.5 script odagdataexplorationtemplatesales.zip

9. Advanced Data Exploration Using ODAG.mp4

12:54

Description

Strategies for ETL on Big Data in QlikSense

What You'll Learn?

ETL of Big Data using partition processing
The use of ODAG and Dynamic Views when working with Big Data
How partitioning works on Databases
ODAG Big Data exploration tool for Big Data tables
The use of control tables in Qlik ETL
Versioning of the data structures in offline data ETL
Parallel extract of the data
Using optimized load for different scenarios of loading the data in the dashboards
Realigning of the data structures to achieve optimized load

Who is this for?

Beginner Qlik developers that have a basic knowledge of the Qlik scripting and have built a basic Qlik project

Medium and advanced developers that have work with Qlik on small datasets and want to extend their expertise to enterprise wide, big data projects

More details

Description
Most of the times when projects fail, they don't fail because a developer didn't know a chart function or a script command in Qlik Sense.
They usually fail because the projectâ€™s ETL strategy is not aligned to the environment in which the project is developed: database connections are too slow, datasets are too big, dashboard refresh time is too long.
When datasets grow larger the whole ETL process might need to be redesigned to tackle this.
In this training you will complement your Qlik knowledge with ETL strategies on Big Data and the use of ODAG and Dynamic Views.
The course is split into three parts:
The first part is an introduction on what Big Data is and how Qlik relates to Big Data.
In the second part we will create projects from scratch for different scenarios of extraction, transformation and data load. You will learn some complex strategies on both offline data and database data sources, and the main focus would be on partition processing.
The last part of the training is an extensive presentation of ODAG and Dynamic Views functionalities, as they were introduced specially to help developers tackle analysis of large amounts of data.
All the examples presented in the training are downloadable and also you can email me regarding the course content in case you have questions.
Who this course is for:
Beginner Qlik developers that have a basic knowledge of the Qlik scripting and have built a basic Qlik project
Medium and advanced developers that have work with Qlik on small datasets and want to extend their expertise to enterprise wide, big data projects

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Focused display

My name is Adrian Costar, I've been working in Qlik space since 2006 and I was the first ever to obtain a Qlik certification in April 2008. Since then I have worked as a consultant and leaded dozens of Qlik projects in Pharma, Financial Services and Industry. Over the years I've trained hundreds of developers mostly in big projects set up, Qlik best practices in scripting and design, platform configuration and enterprise procedures around Qlik deployments. My aim as a tutor is to complement your knowledge in the Qlik area with the knowledge I've accumulated over the years

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