Qlik view Introduction Demo | Overview

Email: sales@kerneltraining.com
Call us: +91 8099776681
Welcome to Qlik View
Introduction Demo

www.kerneltraining.com
What is a Data Warehouse
A data warehouse is a relational database that is designed for query
and analysis rather than for transaction processing.

What is stored in DWH
• It usually contains historical data derived from transaction data
• It can include data from other sources
• It separates analysis workload from transaction workload and
enables an organization to consolidate data from several sources

How is it different from RDBMS
• A data warehouse environment includes an extraction,
transportation, transformation, and loading (ETL) solution, an
online analytical processing (OLAP) engine, client analysis tools,
and other applications that manage the process of gathering data
and delivering it to business users.

How is it different from OLTP
Workload
• Data warehouses are designed to accommodate ad hoc queries. You
might not know the workload of your data warehouse in advance,
so a data warehouse should be optimized to perform well for a
wide variety of possible query operations.
• OLTP systems support only predefined operations. Your
applications might be specifically tuned or designed to support
only these operations.
• Data modifications
• A data warehouse is updated on a regular basis by the ETL process
(run nightly or weekly) using bulk data modification techniques.
The end users of a data warehouse do not directly update the data
warehouse.
• In OLTP systems, end users routinely issue individual data
modification statements to the database. The OLTP database is
always up to date, and reflects the current state of each business
transaction.

Schema design
• Data warehouses often use denormalized or partially denormalized
schemas (such as a star schema) to optimize query performance.
• OLTP systems often use fully normalized schemas to optimize
update/insert/delete performance, and to guarantee data
consistency.
• Typical operations
• A typical data warehouse query scans thousands or millions of
rows. For example, "Find the total sales for all customers last
month."
• A typical OLTP operation accesses only a handful of records. For
example, "Retrieve the current order for this customer."

Historical data
• Data warehouses usually store many months or years of data. This
is to support historical analysis.
• OLTP systems usually store data from only a few weeks or months.
The OLTP system stores only historical data as needed to
successfully meet the requirements of the current transaction.

Data Warehouse Architecture

What made Qlikview Popular?
Cost?
Value?
Time to Implement?

Real Time Factors
• In memory
• Agile BI (Methodology)

What is Qlikview?
• QlikTech is the provider of QlikView , Business Intelligence(BI)
Software
• QlikTech is a software company that was founded in Lund,
Sweden in 1993
• QlikView is a tool that enables access the information in order
to analyze , which in turn improves and optimizes business
decisions and performance.
• QlikView is an In-Memory tool.
• QlikView is a Business Discovery platform that makes it possible
to retrieve and assimilate data from different sources
• QlikView makes associative connections

Why only Qlikview?
• Don’t we have SAP HANA to meet?

High Level Flow for HANA
Any
Source
SAP BODS HANA
Database

Don’t we have any other tools than Qlikview?
• How about Tableau, Spotfire .. Etc?

Comparison
Feature Qlikview Tableau Spotfire
Powerful Data Modelling   
Implementation Speed Excellent Good Good
Customization   
Price Above
Avg.
High High
Dashboard Support Excellent Good Good
Database Connectivity Good Enhanced Good
Intelligence in Reports Good Enhanced Good
UI & Visual Controls V. Good Best V. Good
Understanding Scripting Basic SQL R Programming Java Script

Associative User Experience
• The main difference between QlikView and other BI solutions is its
Associative User Experience.
• Traditional BI solutions use predefined paths to navigate and
explore data but QlikView allows the users to take whatever route
they want.

Architecture
• The QlikView Business Discovery platform consist of three
major components
 QlikView Desktop
 QlikView Server(QVS)
 QlikView Publisher
• Each component plays as important part in designing,
developing and implementing almost every QlikView
deployment

Architecture ( con.)
• QlikView Desktop
To Create a data extract and transformation model
To Create a graphical user interface(GUI)
To Create analysis
• QlikView Server(QVS)
In-memory analytics engine
Manages reload process
Multiple users can work simultaneously without interfacing
with each other
Scalable solution
Single point of entry for all documents via Access Point
Security

• QlikView Publisher
 Server side product
 Load data directly from data sources via connection strings
in QVW file
 Ensure the right data and the appropriated QVW files are
distributed to correct business users
 Increased possibilities for securing data with different types
of data reduction
 Enterprise Scalability

Standard Architecture

Questions?

Email: sales@kerneltraining.com
Call us: +91 8099776681
THANK YOU
for attending Demo of
Qlik View

Qlik view Introduction Demo | Overview

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Qlik view Introduction Demo | Overview