Qlik view Introduction Demo | Overview

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About the course:
This QlikView online course is designed by real time experts. You will be learning about introduction to QlikView, different charts, objects, types of loading, Set analysis and security in QlikView. All classes will be live and interactive. Registered candidates will be getting life time access to LMS (learning management system) which contains learning material and other useful stuff.

Course Target:
In this Live QlikView online training program you will be learning about various fundamentals.
Learn about objects in QlikView.
Understand types of loading and different charts.
Perform Top and bottom value analysis.
Get knowledge of Data modelling and custom sort.
Need to perform set analysis.
In depth understanding of QlikView security.
Course Targeted Audience:
Anyone from any part of world can enroll for this QlikView online course
Professional’s who want to upgrade their skills.
Prerequisites:

No particular qualification is required for this course.
Basic understanding of SQL.
Training Format:

Kernel Training offers affordable Qlikview online course by IT expert.
Registered candidates will be taking part in live QlikView online classes.
Lifetime access to Learning Management System (LMS).

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Qlik view Introduction Demo | Overview

  1. 1. Email: sales@kerneltraining.com Call us: +91 8099776681 Welcome to Qlik View Introduction Demo
  2. 2. 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.
  3. 3. www.kerneltraining.com 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
  4. 4. www.kerneltraining.com 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.
  5. 5. www.kerneltraining.com 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.
  6. 6. www.kerneltraining.com How is it different from OLTP 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."
  7. 7. www.kerneltraining.com How is it different from OLTP 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.
  8. 8. www.kerneltraining.com Data Warehouse Architecture
  9. 9. www.kerneltraining.com What made Qlikview Popular? Cost? Value? Time to Implement?
  10. 10. www.kerneltraining.com Real Time Factors • In memory • Agile BI (Methodology)
  11. 11. www.kerneltraining.com 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
  12. 12. www.kerneltraining.com Why only Qlikview? • Don’t we have SAP HANA to meet?
  13. 13. www.kerneltraining.com High Level Flow for HANA Any Source SAP BODS HANA Database
  14. 14. www.kerneltraining.com Don’t we have any other tools than Qlikview? • How about Tableau, Spotfire .. Etc?
  15. 15. www.kerneltraining.com 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
  16. 16. www.kerneltraining.com 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.
  17. 17. www.kerneltraining.com 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
  18. 18. www.kerneltraining.com 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
  19. 19. www.kerneltraining.com Architecture ( con.) • 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
  20. 20. www.kerneltraining.com Architecture ( con.)
  21. 21. www.kerneltraining.com Standard Architecture
  22. 22. Questions? www.kerneltraining.com
  23. 23. Email: sales@kerneltraining.com Call us: +91 8099776681 THANK YOU for attending Demo of Qlik View www.kerneltraining.com

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