Data Warehousing Practice Exam
Data Warehousing
It is very important to analyse data and extract meaningful information from it. This is a necessary task that should be performed before manipulating the data any further. It not only cleans the data but also remove unnecessary data that is not required. Therefore, data warehousing is the responsibility of the data mining and warehousing professional, who possesses various skills that are required to become a professional data miner. This job requires a lot of problem-solving skills and hence is very demanding since, you have to deal with huge amount of data.
Roles and responsibilities
- Extract and analyse data.
- Working with database system designed for analytical analysis instead of transactional work.
- Working in fields such as market analysis and management, fraud detection, corporate analysis, and risk management.
Who should give this exam?
Anyone with a bachelor’s or a master’s degree in the related field can take this exam for better career opportunities. Candidates should make sure that they have a good background in mathematics and computers.
Skills Required
- Web developing
- Analytical skills
- Java
- Python
- SQL
- Database
- Problem solving and decision-making
Career Prospects
- Software developer
- Web developer
- Hacker
- Data engineer
- Data analyst
- Data scientist
Table of Content
Introduction
- Learning the evolution of data mining and warehousing
- Learning basic Terminologies Data marts data stores etc
- Learning Architecture Types
- Learning Components and Metadata role
Value Proposition
- Learning Data Warehouse economics
- Learning Cost Matrix SLA and ROI
- Learning Risk Mitigation
Strategy and Planning
- Learning Strategy Development
- Learning Agile Development process
- Planning principles and success factors
Requirements
- Learning Requirement gathering methods
- Requirement analysis and definition
Design
- Data and architecture design
- Learning Hardware and Software Selection
- Learning Tools Collection
Dimensional Modeling in Data Warehousing
- Learning Data design and dimensional modeling
- Star Schema star schema keys and advantages
- Learning Snowflake schema aggregate fact tables and families of stars
Metadata for Data Warehousing
- Types
- Learning Management and trends
ETL Extraction Transformation and Loading
- Learning ETL Need and factors
- Learning Data Extraction Techniques
- Data Transformation types and dimensional attributes
- Learning Data Loading types and modes
Data Quality
- Need for data quality
- Learning Data Quality Tools
- Learning Master Data Management MDM
OLAP Online analytical processing
- Evolution Features and functions
- Learning OLAP Models ROLAP and MOLAP
- Learning OLAP Applications
- Learning Web-enabled OLAP
Data Mining
- Learning Data Mining concept and techniques
- Applications
Decision Trees for Data Mining
- Developing decision trees
- Learning Visualization using CABRO
Association Rules Mining
- Learning Single and Multidimensional association rules
- Learning Algorithms
Neural Networks and Data Mining
- Learning Features Strengths weakness and applications
- Learning Topologies and models
Cluster Discovery
- Role in Data mining
- Learning Techniques K means agglomerative etc
Implementation
- Physical Design
- Learning Physical Storage SAN RAID etc
- Learning Indexing B Tree Clustered etc
- Learning Data partitioning and clustering for performance
Post Implementation
- Learning Security Policy user privileges and security tools
- Learning Backup and Recovery
- Learning Monitoring and managing data growth
What do we offer?
- Full-Length Mock Test with unique questions in each test set
- Practice objective questions with section-wise scores
- In-depth and exhaustive explanation for every question
- Reliable exam reports to evaluate strengths and weaknesses
- Latest Questions with an updated version
- Tips & Tricks to crack the test
- Unlimited access
What are our Practice Exams?
- Practice exams have been designed by professionals and domain experts that simulate real time exam scenario.
- Practice exam questions have been created on the basis of content outlined in the official documentation.
- Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
- Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
- You can also create your own practice exam based on your choice and preference
