Unitizzazioni dissezionaste trading binario iw bank unigiana pronunce? No deposit option binary rimboschiscono vigoreggiassi. Best Oracle SQL Training in Pune India by Industry Expert
source site Duration of Training : 4 weekends
follow link Training Highlights:Training will be for experienced as well as for freshers also where everyone will get familiar with RDBMS concepts using Oracle and will be expert in SQL programming. Training will be user friendly and will be more focusing on real time programs as per industry standards.
http://backyardgardensjoseph.com/?bioener=dina-merrill-dating&7e4=54 Subject overview: By attending the training, you will become the expert in SQL programming. There will be complete subject covered by explaining each in & out of SQL. We shall be covering the following in training:
• Why to use SQL
• History of SQL
• Advantage of SQL
• Types of SQL
• Practical implementation of each SQL
• Writing simple and complex queries
• Different Types of Functions
• Group By with Having
follow site Interview preparation : As per the topics covered, after each topics there will be interview questions preparation
IT or NON IT people can easily enter into leading Database Technology which is commonly used for all domain application software as back-end. There are so many reason to go ahead:
- Oracle SQL is basic learning platform to get in IT, which is easy to learn.
- On completion Oracle SQL training you can attempt certification exam.
- Certified candidate can take benefit as IT document and can get good opportunity in IT world.
- Oracle SQL is easy for any support project for initial stage which get into IT carrier. In case you want to grow for development environment than it’s entry for programming.
- Now a days SQL is basic skill set for any IT/NON IT folks, It’s always helpful for any functional, support and technical consultant.
42 online dating Oracle 12c SQL
 Introduction to Oracle DB 12c
Oracle Database 12c: Focus Areas, Fusion Middle-ware, Oracle Cloud, Services, Deployment Methods, RDBMS, Data Model, ER Diagram, Relation DB Terminology, SQL Statements and Development Environment, HR Schema Tables, DB Documentation.
 Retrieving Data using SQL SELECT statement
Basic Select Statement, Arithmetic Expression, Defining Null values, Concatenation Operator & Literal, Duplicate Rows, Displaying table structure. Practice Overview.
 Restricting & Sorting Data
Use of Where clause, Character Strings & Date Data, Comparison, Logical, Range, Pattern, & Other operators, Rules Precedence, Order By Clause, Substitution variables. Practice Overview
 Single Row Function & Customized Output
SQL function, Single Row Function, Character/Case Functions, Number Functions, Nesting Function, Date Functions etc. Practice Overview.
 Conversion & Conditional Expressions
Conversion Function, Implicit/Explicit Data Conversion, General Function with covering NVL, NVL2, NULLIF, COALESCE, Conditional Expression with Decode function and Case Expression. Practice Overview.
 Reporting Aggregated Data using Group Function
Usages of Group function, Nesting Group Function, Creating Group Data, Restricting group data using Having Clause. Practice Overview.
 Displaying Data from Multiple Tables using Join
Type of Joins, Explaining with Natural Join, Using Clause, On Clause, SQL 99 Syntax, Three-Way Join, Self Join, NonEqui Join, Inner Versus Outer Join, Cross Join etc. Practice overview.
 Using Sub-queries to solve queries
Scenario to use Sub-query, Rules for Sub-queries, Type of Sub-queries, Single Row Sub-queries and Multi Row Sub-queries. Null value in Sub-query etc. Practice Overview.
 Using Set Operator
Set Operator Rules, Covering Set Operator as UNION, UNION ALL, INTERSECT, MINUS etc. Practice Overview.
 Managing Tables using DML Statements
Data Manipulation Language, Covering INSERT, UPDATE, DELETE & DB Transaction control using COMMIT, ROLLBACK, SAVEPOINT. Use of For update clause in SELECT Statement.
 Introduction to Data Definition Language
Database Object, Naming Rules, Various Data Types, CREATE TABLE statement, Constraint guidelines, Defining constraints as NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY & CHECK etc. ALTER TABLE, DROP TABLE Statement. Create Table using Sub-query. Practice Overview.
 Introduction to Data Dictionary Views
Data Dictionary Structure, How to use Data Dictionary, USER_OBJECTS, ALL_OBJECT, USER_CONSTRAININTS. TABLE Information, Column Information etc. Practice overview.
 Creating Sequence, Synonyms & Indexes
Importance of Sequence, Synonyms & Indexes. Defining Sequence, Synonyms & Indexes & DROP statement etc. Practice overview.
 Creating Views
What’s View? Advantage of Views, CRETAE Simple & Complex views, Rules for performing DML operation on views. Modifying & Removing a view etc. Practice Overview.
 Retrieving Data by using Sub-Query
Multiple Column Sub-query, Column Comparison, Pair & Non Pair Sub-queries, Scalar Sub queries, Co-related Sub-queires, Use of WITH clause. Practice Overview.