Oracle Sql For Data Analytics And Data Warehousing Overview

[LeeAndro]

Last updated 11/2019MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 3.15 GB | Duration: 4h 31m

Learn about enhanced functions of Oracle SQL for Data analytics and get an overview about Data warehousing

What you'll learn
Oracle SQL - Extensively about select statement (DML) from Data analytics point of view
An overview about Data warehousing concepts.​

Understanding about other sql statement like DDL, DMLs
Basic understanding of ER diagrams, Oracle Instance and Database
Requirements
Some programming background would be beneficial
For optimum results use headphone speaker
Does not require any installs on your laptop/ PC
Description
Enterprise worldwide has huge data on their business application be it in the from of ERP or Data warehousing information. The heart of these system are Relational data base and enterprise world over are looking for expert who can derive meaningful information from the system, so as to grow and drive the business.An Oracle SQL expert from data analytics perspective is always on high demand. Considering this, the course is packed with all the necessary details.Apart from regular sql 'select statement ' which is called DML statement it also covers business analytics statement such as:Roll Up group.Cube - commonly referred in Data warehousing towards multi-dimensional data analyticsHierarchical functions.Additionally it also has an overview about Data warehousing concepts, which provides you with basic knowledge, which can then be used to acquire Datawarehouse - ETL tools and OLAP tools knowledge.One can learn Oracle SQL without any install through Cloud Oracle DB along with data set for easier practice.Happy Learning!!

Overview

Section 1: Introduction

Lecture 1 Course Overview - Topics of coverage

Section 2: Whats a business application

Lecture 2 What is business application

Lecture 3 Difference between OLTP and OLAP

Section 3: Relational Database and SQL

Lecture 4 What is Relational Database

Lecture 5 Business flows, ER diagrams and RDBMS

Lecture 6 Structured Query Language - Introduction

Lecture 7 ER Diagram - Tables commonly used in this course

Section 4: What is an Oracle Instance

Lecture 8 What is an Oracle Instance

Section 5: Quiz 1

Section 6: Difference environment to practice Oracle SQL

Lecture 9 Difference environment to practice Oracle SQL

Lecture 10 Oracle Apex SQL environment and dataset for learning

Section 7: Oracle SQL : Select statement - Arithmetic, Concatenate, Distinct functions

Lecture 11 Select statement - Arithmetic, Concatenate, Distinct functions

Lecture 12 Select Statement - Demonstration - Arithmetic, Concatenate, Distinct function

Section 8: Oracle SQL: Select Statement - Filtering data - using where clause

Lecture 13 Oracle SQL: Select Statement - Filtering data - using where clause

Lecture 14 Demonstration Select Statement - Filtering data - using where clause

Section 9: Oracle SQL: Select statement - Functions

Lecture 15 Oracle SQL: Select statement - Functions 1

Lecture 16 Oracle SQL: Select statement - Demonstration - Functions

Lecture 17 Oracle SQL: Select statement - Functions 2 - Nested, Case,Decode

Section 10: Quiz 2

Section 11: Analytics function used in Data warehousing / Business Intelligence

Lecture 18 Analytics functions - Min, Max, Avg, Nvl, Std dev

Lecture 19 Analytics functions - Demonstration - Min, Max, Avg, Nvl, Std dev

Lecture 20 Analytics functions - Group By and having clause

Lecture 21 Analytics functions - Demonstration - Group by and having clause

Lecture 22 Analytics functions - Rollup and Cube functions

Lecture 23 Analytics function - Demonstration - Rollup and Cube functions

Lecture 24 Analytics Function - Select statement - Hierarchical

Lecture 25 Analytics Functions - Select Statement - Demonstration - Hierarchical

Section 12: Oracle SQL : Retrieving Data from multiple tables - JOINS

Lecture 26 Different Types of Joins - Natural and equi joins

Lecture 27 Demonstration 1 - Natural and equi joins

Lecture 28 Demonstration 2 - Natural and Equi Joins

Lecture 29 Joining table to itself towards data retrieval - Self Joins

Lecture 30 Demonstration - Self Joins

Lecture 31 Outer Joins between tables

Lecture 32 Demonstration - Outer joins between tables

Lecture 33 Oracle SQL: What is subquery

Lecture 34 Demonstration - Subquery

Lecture 35 Other DMLs

Section 13: Quiz 3

Section 14: Data Definition Language

Lecture 36 Data Definition Language

Lecture 37 Demonstration - Data definition Language

Section 15: DB - Schema, Synonym, Sequence, Index - Overview

Lecture 38 DB - Schema, Synonym, Sequence, Index - Overview

Section 16: Do's, Don't and Tuning Sql - Overview

Lecture 39 Do's, Don't and Tuning Sql - Overview

Section 17: What is Data Dictionary

Lecture 40 What is Data Dictionary

Section 18: Quiz 4

Section 19: DataWarehouse and Business Intelligence : An overview

Lecture 41 DataWarehouse and Business intelligence

Lecture 42 Dimension models

Lecture 43 DWH Schema - Star and Snowflake schema

Lecture 44 Fact and Dimension table

Section 20: Quiz 5

Section 21: Bonus Lecture: Concluding remarks & Next steps

Lecture 45 Bonus Lecture: Concluding remarks & Next steps

Bner interested to get into the most sought and on-demand career in Data analytics using Oracle SQL,Student who wish to enter into the career as Oracle Developer (analytics) and get an understanding on Data warehousing / analytics

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