QlikView Training in Bangalore offered by Besant Technologies with 100% hands-on practical classes. Our QlikView Training primarily focuses in getting placement for all. We crafted our course syllabus which gives basic to advanced level of expertise on QlikView training at end of course. Our QlikView training syllabus will be enough to appear for certification and interviews confidently. We are more than 100+ trainers working in MNC’s with 7-18+ years of experience on QlikView technologies. Our QlikView trainers will help you to build your resume and share their project exposures. By doing QlikView training in Bangalore with Besant Technologies anyone can become expert if they passionately learn this technology in short time.
We at Besant Technologies provide QlikView training in Bangalore. Our QlikView Training centres perfectly equipped with all the needed facilities like lab, class rooms, meeting hall and more. We encourage our QlikView students to appear for certification at end of their course. For record in the last month we successfully trained more than 67+ students in QlikView technology in our institute. In that almost 90% peoples got better opportunity with our guidance and motivation. When it comes to QlikView training course fee we are the very lowest bidders in the market because we are not interested to make serious business out of this training. We are conducting QlikView class room training, QlikView online training and QlikView corporate training. We offer fast track and one-to-one training for QlikView if requested by participant. We assure that we are giving best of our knowledge for every QlikView training in Bangalore.
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Course Name QlikView Category BI & Data Warehousing Venue Besant Technologies Official URL Qlickview Training Demo Classes At Your Convenience Training Methodology 30% Theory & 70% Practical Course Duration 35-40 Hours Class Availability Weekdays & Weekends For Demo Class Email ID – besanttech@gmail.com -
QlikView Course Syllabus
Data Warehouse Concepts:
- Introduction of Data Warehouse
- Need arise of DWH
- OLTP V/S DWH
- OLTP V/s OLAP
- Data Warehouse /Data Marts Architecture
- Staging/without Staging
- Dimensions (Simple and Confirm)
- Fact (Simple, fact less, coverage, confirm)
- Warehouse Implementation Methods
- STAR SCHEMA
- SNOW FLAKE SCHEMA
- Difference between STAR and SNOW FLAKE Schema.
- Other terminologies Cleansing, Purging etc.
- Database Modeling
- Designing Methods
- Logical Designing
- Physical Designing
- Introduction of Dimension Modeling
- Difference between ER-Modeling and Dimension Modeling
- Implementation of Dimension Model
- Forward Engineering and Reverse Engineering
- Introduction of various Database Components
- OLAP ?OLAP/MOLAP/HOLAP
QlikView data structures:
- Data structures in QlikView (AQL).
- Sample Application walkthrough of QlikView
- Architecture and components of QV
- In-memory BI /OLAP
- Loading data from multiple datasources:
- Script editing
- Menu Commands and Syntax
- Handling DATA SOURCE FILES
- The QWT (Access File example) primary data source
- The QWT (Access File example with QVD Conversion) secondary data files
- Script generation
- Creating a connection to the database
- Reading tables into QlikView
- Big data Analytics
- Connecting of Qlikview with Bigdata hadoop
ADVANCED SCRIPTING:
- Condition on a field in a table
- Aggregating Data in Script (Resident Load and Group Function, Order By etc)
- Joining tables (Left, Right, Inner, Outer Joins)
- Concatenation
- Sheet Basics:
- Sheet Objects
- Text,list,chart,graph
- Multidimensional,gauges,
multibox - Calculation and expressions
- Reporting formats
- Server setup
- Publisher
- Alerts
- Bookmark
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