Overview of Qlikview by Quontra Solutions

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Quontra Solutions Provides Online Training on Qlikview by Real time Instructors having 5+ years of experience in IT sector.
Why to choose Qlikview Course:
Qlikview is a very good tool. QlikView is the Business Intelligence tool collects Data from different sources, combined and presented in a single dashboard in an easy and understandable way.Qlikview BI is gaining huge importance in present days market with its added advantages and unbelievable results to the BI users.
Quontra Solutions exclusively known for our interactive online sessions throughout the world in USA, UK.We are the best training providers on all IT Courses in United States with updated versions of software and having experienced Qlikview instructors.
Our expertise team has designed an intensive training with the coverage of essential elements of Qlikview. We offer different course for developers, designers, technical consultant. It is a unique opportunity to explore your skills in a useful manner to the company’s needs and users requirements. Our customized Qlikview course training covers the following topics.
Visit: http://www.quontrasolutions.com/Qlikview-online-training-course.html
Please call us (404) 900-9988 for free demo on Qlikview. Quontra Solutions is the best Qlikview online training Institute in United States.
Training Offer: If you are going to join more than one member with you there will be 10% concession on your training fee providing Gift Voucher.

Course Content:
• Qlikview Introduction
• Creating the First Qlikview Document
• Qlikview Scripting
• Qlikview Functions
• Qlikview Sheet and Objects
• BookMarks and Alerts
• Set Analysis Overview
• Qlikview Server and Doocument manager
• QlikView-Licensing-Overview
• Big data analytics using Qlikview
• Real Time Scenarios & Many More……
Our exclusive features:
• High profile expertise faculty with real time exposure
• Real time job support with latest updates on market trends
• Live projects in sync with current market portfolios
• Well Experienced Real Time Faculties
• Training with live experience
• Customized Topics as per Your Requirement
• 100% job oriented Online training
• Very in depth course material with real time scenarios.
• We are providing class with highly qualified trainer.
• We will provide class and demo session at student flexible timings.
• In training case studies and real time scenarios covered.
• We will give every recorded session for play later.
• We are giving placement support by multiple consultancies in USA, UK etc.
If you want to know more about Quontra Solutions
3427 Vintage cir, SE Smyrna, GA-30080
Callus: (404) 900-9988 Email: info@quontrasolutions.com Web: www.quontrasolutions.com



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Overview of Qlikview by Quontra Solutions

  1. 1. Presented By QuontraSolutions IT Online Training Visit: www.quontrasolutions.com Call Us: (404)-900-9988 info@quontrasolutions.com
  2. 2.  A brief history of QlikView  How Traditional BI works  How QlikView works  How QlikView works internally?  QlikView Competition  What are the implications for OLAP and the data warehouse info@quontrasolutions.com
  3. 3.  Founded in Lund, Sweden in 1993 by Björn Berg and Staffan Gestrelius originally as a consultancy  Originally called “QuikView” as in “Quality, Understanding, Interaction, Knowledge”  Product was designed to mimic the way the brain works  A key aspect was the colour-coding scheme whereby selected values are highlighted in green, linked values in white, and excluded values in highlighted grey  First two versions were basically written in Excel using VLOOKUPs  Håkan Wolgé was later hired as lead software engineer to re-architect/re-write QlikView from the ground up as an in-memory application  Renamed as “QlikView” in 1996  IPOed on Nasdaq in 2010 under symbol “QLIK” and had 7th best IPO of 2010  Now has over 24,000 customers in 100 countries and employs over 1,000 people worldwide  Market cap: $2.5 billion
  4. 4.  Traditional OLAP/cube technologies primarily provide the ability to drill up and down through “dimension” hierarchies, allowing the end-user to see pre-aggregated “measures”  Dimensions and measures must be know a priori  A small team is usually required to complete a BI project  A data warehouse or data mart is usually required as a pre-requisite before OLAP cubes can be built  This can often lie on the critical path of other data warehouse projects. Since data warehouse usage cannot be anticipated, a “single version of the truth” can often bog down development  ETL is very slow to test, which in turn slows down development time  If a detail drill down report (e.g. to see all point-of-sale records), a “drill through” query link is made to the operational data store to retrieve these data  Introduces another point-of-failure  Associations between dimensions are not computed – only resulting measures (e.g. counts)
  5. 5.  The “secret sauce” is: An experienced QlikView can build and test a dashboard solution (including user acceptance testing) faster than any other BI tool I have evaluated  This makes “Agile BI” possible  Users and developers can remain focused on insights and outcomes  The resulting dashboards are effectively by-products of the analysis process  More flexible data model allows normalized data to be imported with fewer transformations  ETL development is in-memory. ETL jobs can be tested orders of magnitude faster than traditional ETL tools  All data is automatically profiled on import  QlikView uses the word “associative” to distinguish itself from other BI vendors  Associative is a tricky concept to explain, but most people will “get it” when they see it  “Associative” puts emphasis on understanding how sets of data relate to one another  All those tricky SQL queries involving “NOT EXISTS” or “LEFT/RIGHT OUTER JOIN” are but a mouse click away info@quontrasolutions.com
  6. 6.  QlikView uses the word “associative” to distinguish itself from other BI vendors • Associative is a tricky concept to explain, but most people will “get it” when they see it • “Associative” puts emphasis on understanding how sets of data relate to one another • All those tricky SQL queries involving “NOT EXISTS” or “LEFT/RIGHT OUTER JOIN” are but a mouse click away info@quontrasolutions.com
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  10. 10.  At the centre of QlikView is a large “Multi-Dimensional Cube Table”, with one column for each table, and each row containing pointers back to the original table’s row index  Also uses a: Global Symbol Table; Value Tables; and Data Tables  The “machine code” most likely refers to bitmap indexes. QlikView heavily relies on bitmap indexes to perform its JOINs  QlikView may have the best known solution to Kimball’s “Big JOIN” problem (JOINing a billion dimensions with a trillion facts), since a single row is effectively being represented by a single bit  Consider that a 64 rows can be JOINed in less than a clock cycle  Intel and AMD now support “Active Vector Extensions” (AVX), which will allow 256 rows to be JOINed in less than a clock cycle  Unclear if this architecture lends itself to map/reduce  The embedded example shows in detail how the indexes work info@quontrasolutions.com
  11. 11.  Only true competitor is Microsoft Power Pivot  Available as free plug-in for Excel 2010 and can be deployed in SharePoint 2010  Started as Project Gemini, which was announced 21 months in advanced – the farthest out for any MS project  MS has done their best to mimic QlikView’s associative experience  Will now be rolling out “Power View” as part of SQLServer 2012 SSRS  Other vendors have greatly simplified the cube/OLAP approach, and can be considered somewhat Agile, although they lack the “Associative” experience. Primarily:  Tableau  TIBCO SpotFire  Many vendors have jumped on the “in memory” bandwagon, but ultimately have just moved their existing cubes “in memory” – effectively just speeding up user interaction, but offering nothing new in terms of user experience or development timelines  Some “big data” analytical DB vendors (e.g. SAP HANA) are feigning competition with QlikView – but none of these get to the “last mile” of user experience info@quontrasolutions.com
  12. 12.  No longer need to maintain star schemas  The data warehouse is going through a transition, and will likely be much simpler to maintain  Bitemporal data types, which can already be found in TeraData and DB2, and have been ratified in ISO SQL:2011 will handle all issues related to Slowly Changing Dimensions, and other time related issues (e.g. when data was loaded vs. when original transaction occurred)  Change Data Capture tables should be used to load data warehouse  Data quality, de-duplication, and fuzzy matching should be treated as operational issues, e.g. fuzzy matching tables should be maintained operationally  Dashboard schemas will be built in tools like QlikView, as needed.  Star and snowflake schemas are still useful, but should be built as needed on-the-fly  The data warehouse should more-or-less be a time invariant mirror of the ODS, and more-or-less maintain itself info@quontrasolutions.com

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