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EMBEDDED SYSTEM WITH AI & ML

Categories: Software Development
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About Course

Languages SQL, PLSQL
– Operating Systems – UNIX/LINUX with shell scripting
– Tools – SQL *Plus, SQL Developer, SQL *Loader, Netca,
– Netmgr, crontab, Service Now/Spice Works, PuTTy,
– SSH, SCP, FTP, WinSCP, SQL Performance Tools,
– Debugging, Unit Testing etc.

 

Topics of Course

SQL CONTENT

  • Training Mode

    Faculty having 31 years of experience in TOP MNCs on Banking, Insurance, Sales
    etc. domains
     In-depth Training with real time use cases
     Real Time projects
     Practical Lab for every concept
     Internship facility
     Interview Preparation
     Work Experience
     100% Placement Support
     Job Support after placement

     

  • DATABASE FUNDAMENTALS

    Data and Information
    – Raw Data
    – Traditional Data Model
    – HDBMS and NDBMS
    – Relational Data Model
    – RDBMS
    – Oracle Database Server
    – Oracle Database Working Environment
    – Structured Query Language (SQL)
    – Types of SQL commands

     

  • CREATING AND MANAGING A TABLE

    – Relation and Table
    – CREATE TABLE command
    – DESC command
    – Naming Rules
    – SQL Data Types
    – INSERT command
    – SELECT command
    – UPDATE command
    – DELETE command
    – COMMIT
    – ROLLBACK
    – DROP TABLE command

  • HR Schema

    – Understanding Example Schema
    – Working with Tables of HR Schema
    – SQL Develope

  • FILTERING DATA

    a. WHERE clause
    b. Relational Operators
    c. IN, BETWEEN AND operators
    d. LIKE operator
    e. Logical Operators
    f. Concatenation Operator
    g. Column Alias Names
    h. Column Headings

  • MANAGING NUMERICAL DATA

    – NUMBER data type
    – Using NUMBER data type in different domains such as SALES, BANKING, HEALTHCARE, FINANCE,
    SCIENCE and TECHNOLOGY etc.
    – Arithmetic Operators
    – Column Heading
    – Column Format
    – Numerical Calculations
    – NULL value arithmetic
    – NVL, NVL2, COALSCE etc. functions
    – Presenting NUMBER data with Numerical functions

  • MANAGING CHARACTER DATA

    – CHAR data type
    – VARCHAR2 data type
    – Column Length Semantics
    – NLS Character Data types

    – CLOB, NCLOB Data Types
    – CHARACTER Functions
    – Manipulating Character data

  • MANAGING DATE DATA

    – Importance of Date in real time transactions
    – Default Date Format
    – Creating Table with Date columns
    – Inserting Date data
    – TO_CHAR function
    – TO_DATE function
    – Storing Time Data
    – Database date and Client Date
    – TIMESTAMP data type
    – INTERVAL data type
    – Date, Timestamp, Interval functions
    – Processing Date data

  • MODIFYING THE STRUCTURE OF A TABLE

    – ALTER TABLE command
    – Changing Column size
    – Changing Column data type
    – Adding column(s)
    – Removing Column(s)
    – Changing name of a column
    – Changing name of a table

  • DATA INTEGRITY CONSTRINTS

    Maintaining Valid data in a table
    Types of Data Integrity Constraints
    NOT NULL constraint
    CHECK Constraint
    UNIQUE KEY constraint
    PRIMARY KEY constraint
    FOREIGN KEY Constraint
    Enabling/Disabling Constraints
    Changing the name of the constraint
    Dropping constraints
    Misc. Concepts of constraints

  • SEQUENCES

    Creating Sequence
    Different options in Sequence
    CYCLE Sequences
    ORDER Sequences
    Negative Sequences
    Resetting Sequences
    Modifying Sequence Settings

     

  • RETURNING DATA IN AN ORDER

    ORDER BY clause
    ASC, DESC Order
    Ordering on multiple columns data
    Handling NULL values in ordering

  • GROUPING DATA

    GROUP BY clause
    Grouping more than one column data
    GROUP functions
    HAVING Clause
    WHERE, GROUP, HAVING, ORDER BY combination
    Misc. GROUP BY concepts

  • TABLE JOINS

    Types of table joins
    Inner Joins
    EQUI Joins
    INEQUI Joins
    SELF Joins
    OUTER JOINS
    CROSS JOINS
    JOINING 3,4,5,6 and more table joins
    Misc. Table Join operations

     

  • SUBQUERIES

    ⦁ Single value sub query
    ⦁ Single Row multiple values sub query
    ⦁ ALL, SOME, ANY operators
    ⦁ Multi row single column values sub query
    ⦁ Multi row multi columns values sub query
    ⦁ Nested Sub query
    ⦁ Co-related sub query
    ⦁ EXISTS operator
    ⦁ NOT EXISTS operator
    ⦁ Sub Query at column level
    ⦁ Sub query at Table level
    ⦁ Sub query in DML statements
    ⦁ Sub query in DDL statements
    ⦁ Misc. concepts in sub query

  • WINDOW FUNCTIONS

    ⦁ Limitations of GORUP BY clause
    ⦁ OVER function
    ⦁ PARTITION option
    ⦁ ORDER option
    ⦁ RANK, DENSE_RANK functions
    ⦁ Popular Window functions
    ⦁ Misc. operations

  • TOP-N QUERIES

    ⦁ Finding Min and Max values in the given data
    ⦁ Finding nth Min and Max values in the given data
    ⦁ Using different methods for TOP-N queries

  • COMMON TABLE EXPRESSIONS

    ⦁ SET operators
    ⦁ WITH Statement
    ⦁ UNION ALL operator WITH statement
    ⦁ Nested WITH Statement

  • HIERACHICAL QUERIES (HQ)

    ⦁ Use of Hierarchical Queries
    ⦁ CONNECT BY
    ⦁ Different functions for HQ
    ⦁ Displaying data in hierarchy

  • INDEXES

    ⦁ Problem with Standard Table Data Access
    ⦁ Types of Indexes
    ⦁ B-Tree Indexes
    ⦁ BITMAP Indexes
    ⦁ Monitoring Indexes
    ⦁ Managing Indexes
    ⦁ Misc. Concepts with Indexes

  • WORKING WITH REMOTE DATABASE OBJECTS

    ⦁ Connecting to Remote Database
    ⦁ Database Link
    ⦁ Accessing remote tables with Database Link
    ⦁ Misc. concepts on Remote Database objects

  • SYNONYMS

    ⦁ Different types of synonyms
    ⦁ Private Synonyms
    ⦁ Public Synonyms

  • VIEWS

    ⦁ Different Types of Views
    ⦁ Simple Views
    ⦁ Complex Views
    ⦁ Inline Views

  • MATERIALIZED VIEWS

    ⦁ Creating Materialized View
    ⦁ Different options in creating materialized view
    ⦁ Different types of refresh on Materialized views
    ⦁ Complex Materialized views
    ⦁ Updatable Materialized Views
    ⦁ Misc. Concepts on Materialized Views

  • TABLE PARTITIONS

    ⦁ Necessary of Table Partitions
    ⦁ Different Types of Table Partitions
    ⦁ Table Partition by Range
    ⦁ Table Partition by HASH
    ⦁ Table Partition by COMPOSITE
    ⦁ Table Partition by LIST
    ⦁ Table Partition by INTERVAL
    ⦁ Misc. Table partition concepts

  • QUERY MONITORING

    ⦁ Cost and Time of Query Execution
    ⦁ EXPLAIN PLAN
    ⦁ SQL TRACE
    ⦁ TFPROF
    ⦁ Mesc. Concepts on Query Monitoring

  • QUERY TUNING

    ⦁ Industry standard way of writing Queries
    ⦁ Tuning with operators
    ⦁ Tuning on Table Joins
    ⦁ Tuning on Sub queries
    ⦁ Misc. Query Tuning

PLSQL CONTENT

Your Instructor

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