IT Specialist Databases (INF-201) Pearson Skilling Suite

IT Specialist Databases (INF-201) Pearson Skilling Suite

Web price: Rs16,584.91
Member price: Rs16,584.91
Description
Databases serve as a foundation layer of many web and data applications, business reporting functions, and prediction algorithms. In this course, students will learn how to:
  • design and optimize a database
  • create, update and delete records and tables
  • filter and aggregate data
  • automate certain procedures

Taken together, these skills will serve as an entry point into data-related careers in reporting, data engineering, and automation.

Duration: 4 days of training

Audience:
Designed for any learner interested in obtaining a working-level proficiency with databases. After completing this course, you will be able to perform the basic responsibilities of an entry-level professional in the IT field, or take advanced database courses that will allow you to become a database administrator.

Prerequisites: None

Course objectives:
Upon successful completion of this course, students should be able to:  
  • Translate business case into a normalized database design
  • Create and maintain tables, views, and stored procedures that support business operations
  • Create and maintain tables, views, and stored procedures that support reporting functions
  • Optimize and troubleshoot queries
Lesson 1: Database Design
  • Skill 1.1: Given a scenario, design tables for storing data
  • Skill 1.2: Given a scenario, identify the appropriate primary key
  • Skill 1.3: Given a scenario, choose data types to meet the requirements
  • Skill 1.4: Given a scenario, design relationships between tables
  • Skill 1.5: Normalize a database
  • Skill 1.6: Given a scenario, identify data protection measures
Lesson 2: Database Object Management using DDL
  • Skill 2.1: Construct and analyze queries that create, alter, and drop tables
  • Skill 2.2: Construct and analyze queries that create, alter, and drop views
  • Skill 2.3: Construct and analyze stored procedures and functions
  • Skill 2.4: Given a scenario, choose between clustered and non-clustered indexes
Lesson 3: Data Retrieval
  • Skill 3.1: Construct and analyze queries that select data
  • Skill 3.2: Construct and analyze queries that sort and filter data
  • Skill 3.3: Construct and analyze queries that aggregate data
Lesson 4: Data Manipulation using DML
  • Skill 4.1: Construct and analyze INSERT statements
  • Skill 4.2: Construct and analyze UPDATE statements
  • Skill 4.3: Construct and analyze DELETE statements
Lesson 5: Troubleshooting
  • Skill 5.1: Troubleshoot data object management query failures
  • Skill 5.2: Troubleshoot data retrieval query failures
  • Skill 5.3: Troubleshoot data manipulation query failures
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