Dbms

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SAS Clinical Research Trainers required for elegant it services good salary based on training quality 1. History of SAS 2. SAS comes in ERP sector or not? Why? 3. Role of Statistical Analysis in Clinical Research Study and Banking analysis 4. SAS role in Clinical Research Study and Banking analysis 5. Data modeling and Data mining concepts 6. Project management in Clinical Research Study analysis and Banking analysis 7. What is Clinical research Study? 8. What is Protocol and role of Protocol in Clinical Research Study? 9. What is randomization and non randomization? Which is playing 10. Main role in Clinical research study? 11.What is SOP (Standard operating Procedure)? 11. What is DBMS? 12. Role of DBMS team in Clinical Research Study 13. What is CDM (Clinical data management)? 14. Importance of CDM systems for data loading 15. What is SAP (Statistical Analysis Plan)? 16. Role of SAP in Clinical Research Study 17. SAS Work Flow in Clinical Research Study 18. Relation between SAS and DBMS 19. Interaction between SAS with CDMs for data access 20. Various report generation in Clinical Research Study 21. Role of SAS in Credit Analysis and Different Banking Channels 22. When will go any Industry for Data modeling and Data mining 23. Role of SAS in Data modeling and Data mining GETTING STARTED WITH SAS SYSTEMS: 1. Basic operating system commands, operating system file structures 2. Managing windows in SAS window environment 3. How to run SAS application in different modes and in different environment like Windows, Unix and Mainframes. 4. Use of different kind of SAS products and how to use in SAS application. 5. Difference between the SAS products. 6. Why using the SAS in different sectors 7. How to use the Data Step to read and manipulate complex forms of data 8. Write Data and Proc Steps 9. Data step compile and execution 10. To run SAS application on different modes 11. Reading internal raw data into SAS 12. Read any type of external raw data into SAS 13. Reading raw data SAS environment into DATASET using Input statement & advance INFILE Statement options 14. Working with Data Storage in SAS libraries creation for user defined libraries and multi-engine architecture 15. Using a single libref to reference some or all SAS libraries reading and printing mixed records formats 16. Reading packed and zoned decimal data Working with EBCDIC and ASCII data 17. Reading data from dataset to another dataset 18. To manage the SAS window environment use with Global options 19. Reducing memory requirements with BUFFNO and BUFSIZE working with SAS dataset options 20. To manage existing data with controlling statements and expressions 21. Creating summary information, SAS functions, transforming data 22. Changing variable types using the PUT and INPUT functions Summarizing Data Files 23. Generation Data Sets to create historical information SAS 24. To export data from datasets to delimiter files using with dataset block 25. Understand error messages in the SAS log and debug your program 26. Use with error handling concepts Thanks&Regards Elegant IT Services, #nd Floor,Aswath Nagar Varthur main road,Near Railway Fly Over Maratha halli,Land mark: Chemmunar Jewellers,

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Database Administrators (DBAs) are responsible for the design, implementation, support and maintenance of computerized databases in today's organizations. The role also includes architecting, building and scaling databases for future data growth and capacity. They are also responsible for security, performance and availability of data to users and customers. All the above tasks are performed with the help of a Database Management System (DBMS) and the leading and most widely used DBMS across the world today are the Oracle Database, Microsoft SQL Server, MySQL database etc. Out of the three DBMS technologies, Oracle Database is the most popular and widely used database in the world today. Database Administrator Job Growth DBAs play an important and responsible role in every company's Information Technology (IT) department. PRE-REQUISITES: SQL, PL/SQL,LINUX. INTRODUCTION TO ORACLE Exploring the Oracle Database Architecture Creating an Oracle Database Managing the Database Instance Managing Database Storage Structures (Table spaces & Segments) Administering User Security Managing Data Concurrency Managing Undo Data Configuring the Oracle Network Environment Backup and Recovery Concepts (cold, hot & RMAN) Use of RMAN Recovery Catalog & Configuring Backup Settings Performing Database Backups with RMAN Performing Database Recovery Moving Data - Export & Import, External Tables & SQL Loader Using Flashback Technology I Using Flashback Technology II Implementing Oracle Database Auditing Implementing Oracle Database Auditing Database Maintenance Performance Management Managing Performance by SQL Tuning Diagnosing the Database Managing Space Managing Space for the Database Managing the ASM Instance Duplicating a Database / Cloning Database Data Guard Installing your Oracle Software Database Patches & Database Upgrades Introduction to Real Application Clusters OLTP vs OLAP Data modeling Snake-Flow diagram Dimensions and Facts IQD preparation IQD publishing Cube generation Cube publishing into portal Validations Adhoc reports Zero suppression reports Performance and Tuning with OLAP Backup and recovery in OLAP

Oracle DBA Training Course Database Administrators (DBAs) are responsible for the design, implementation, support and maintenance of computerized databases in today's organizations. The role also includes architecting, building and scaling databases for future data growth and capacity. They are also responsible for security, performance and availability of data to users and customers. All the above tasks are performed with the help of a Database Management System (DBMS) and the leading and most widely used DBMS across the world today are the Oracle Database, Microsoft SQL Server, MySQL database etc. Out of the three DBMS technologies, Oracle Database is the most popular and widely used database in the world today. Database Administrator Job Growth DBAs play an important and responsible role in every company's Information Technology (IT) department. PRE-REQUISITES: SQL, PL/SQL,LINUX. INTRODUCTION TO ORACLE Exploring the Oracle Database Architecture Creating an Oracle Database Managing the Database Instance Managing Database Storage Structures (Table spaces & Segments) Administering User Security Managing Data Concurrency Managing Undo Data Configuring the Oracle Network Environment Backup and Recovery Concepts (cold, hot & RMAN) Use of RMAN Recovery Catalog & Configuring Backup Settings Performing Database Backups with RMAN Performing Database Recovery Moving Data - Export & Import, External Tables & SQL Loader Using Flashback Technology I Using Flashback Technology II Implementing Oracle Database Auditing Implementing Oracle Database Auditing Database Maintenance Performance Management Managing Performance by SQL Tuning Diagnosing the Database Managing Space Managing Space for the Database Managing the ASM Instance Duplicating a Database / Cloning Database Data Guard Installing your Oracle Software Database Patches & Database Upgrades Introduction to Real Application Clusters OLTP vs OLAP Data modeling Snake-Flow diagram Dimensions and Facts IQD preparation IQD publishing Cube generation Cube publishing into portal Validations Adhoc reports Zero suppression reports Performance and Tuning with OLAP Backup and recovery in OLAP If you want to know more about Oracle DBA Training do not hesitate to call +91-9393 002 123 or mail us on info@unitedglobalsoft.com

ORACLE DBA TRAINING Oracle DBA Training Course Overview Database Administrators (DBAs) are responsible for the design, implementation, support and maintenance of computerized databases in today's organizations. The role also includes architecting, building and scaling databases for future data growth and capacity. They are also responsible for security, performance and availability of data to users and customers. All the above tasks are performed with the help of a Database Management System (DBMS) and the leading and most widely used DBMS across the world today are the Oracle Database, Microsoft SQL Server, MySQL database etc. Out of the three DBMS technologies, Oracle Database is the most popular and widely used database in the world today. Database Administrator Job Growth DBAs play an important and responsible role in every company's Information Technology (IT) department. PRE-REQUISITES: SQL, PL/SQL,LINUX. INTRODUCTION TO ORACLE Exploring the Oracle Database Architecture Creating an Oracle Database Managing the Database Instance Managing Database Storage Structures (Table spaces & Segments) Administering User Security Managing Data Concurrency Managing Undo Data Configuring the Oracle Network Environment Backup and Recovery Concepts (cold, hot & RMAN) Use of RMAN Recovery Catalog & Configuring Backup Settings Performing Database Backups with RMAN Performing Database Recovery Moving Data - Export & Import, External Tables & SQL Loader Using Flashback Technology I Using Flashback Technology II Implementing Oracle Database Auditing Implementing Oracle Database Auditing Database Maintenance Performance Management Managing Performance by SQL Tuning Diagnosing the Database Managing Space Managing Space for the Database Managing the ASM Instance Duplicating a Database / Cloning Database Data Guard Installing your Oracle Software Database Patches & Database Upgrades Introduction to Real Application Clusters OLTP vs OLAP Data modeling Snake-Flow diagram Dimensions and Facts IQD preparation IQD publishing Cube generation Cube publishing into portal Validations Adhoc reports Zero suppression reports Performance and Tuning with OLAP Backup and recovery in OLAP

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First Semester CSIT1: Computer Fundamentals and C Programming CSIP1: C Programming Lab Second Semester CSIIT1: Data Structures and Operating Systems CSIIP1: Data Structures Lab Third Semester CSIIIT1: OOPS using C++ and DBMS CSIIIP1: C++ Lab Fourth Semester CSIVT1: Software Engineering and System Software CSIVT2: Human Resource Management (Special Paper) CSIVT1: DBMS Lab (mini project) Fifth Semester CSVT1: Internet Technology CSVT2: Basic Java and Unix Programming CSVP1: Internet lab CSVP2: Java and Unix Lab Sixth Semester CSVIT1: Interactive Computer Graphics and computer Networks CSVIP1: Project Lab

SQL-PL SQL SQL •The Oracle database environment Reviewing basic architecture concepts, Oracle 10g Architecture,Main features of 9i and 10g •Basic SELECT Statement Writing the statement in sqlplus, Running the SELECT statement •Ordering the output Single Column, Descending order, Multiple column sort •Conditional retrieval of data Working with complex conditions, AND OR NOT,,,, LIKE BETWEEN •Pseudo columns and functions Pseudo Columns, Rownum, Sysdate, User & UID, the Dual Table •Working with character functions UPPER, LOWER, INITCAP, RPAD(), TRIM(), SUBSTR(), INSTR(), TRANSLATE(), REPLACE(), GREATEST(), LEAST(), •Working with date functions TO_CHAR(), TO_DATE(), MONTHS_BETWEEN(), ADD_MONTHS(), LAST_DAY(), NEXT_DAY() •Using non-character function ROUND(), TRUNC(), SIGN(), Working with multiple tables, Different type of Joins, Writing Outer Joins •Using the SET operators Union, Intersect, Minus •Aggregating data using group functions GROUP BY, HAVING •Creating Subqueries Single Row subqueries, Multiple row Subqueries •Enhancing groups function ROLLUP, CUBE •Transaction Control Language Rollback, Commit, Savepoint •Processing hierarchies Creating the Tree structure, LEVEL, CONNECT BY •Data Manipulation Language INSERT, UPDATE, DELETE •Data Definition Language CREATE, TRUNCATE, ALTER, DROP, RENAME, DESCRIBE •Using Declarative Constraints Not Null Constraint, Check Constraint, Unique Constraint, Primary Key Constraint, References Constraint, On Delete Cascade, On Delete Set Null •Other Database Objects Views, Sequences, Synonyms, Indexes USER_TABLES, USER_TAB_COLUMNS, USER_OBJECTS •Database Security Object Privileges, Granting access to objects PL -SQL •Blocks Structure, Writing Anoyomous Blocks •Variables Oracle Datatypes, TYPE and ROWTYPE declarations, Value assignments •Control structures IF ELSE ENDIF statement, IF ELSIF ELSE ENDIF statement, LOOP END, LOOP statement, WHILE condition, FOR condition •Cursors Implicit and Explicit Cursors, Cursor Manipulation statements, OPEN FETCH CLOSE EXIT WHEN •Error Handling Predefined Exceptions, Non-Predefined Excecptions, User Defined Exceptions •Procedures Creating and Calling Procedures •Functions Creating and Calling Functions •Packages Package Header, Package Body •Design Tips and Techniques Format of standard packages in an application, Spec and Body, NOCOPY hint ------------- thoery •Triggers Database triggers, CALLing procedures from triggers •Dynamic SQL EXECUTE IMMEDIATE, DBMS_SQL package •Oracle Supplied packages DBMS_OUTPUT, UTL_FILE •Collection datatypes Associative Arrays, Nested tables, VARRAYs For More Details contact us: Elegant It Services contact no:

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A (DBMS) database management system is a computer software application that interrelates with the customer, other applications and the database itself to confine and examine data. A general-purpose DBMS is intended to permit the definition, update, querying, creation, and administration of databases. Oracle 10g is a latest version of database management system. MCM InfoTech provides oracle 10g DBA training according to the recent requirement of IT Company. The Oracle Database 10g is a relational database management system (RDBMS) created and marketed by Oracle Organization. MCM InfoTech offers Best Oracle Database training in Delhi based on recent company principles that assists attendees to secure placements in their dream jobs at MNCs.MCM InfoTech affords top Oracle Database training in Delhi. At MCM InfoTech Oracle DBA course training in Delhi is accomplished by subject professional corporate professionals with 5+ years of experience in organization concurrent Oracle DBA projects.MCM InfoTech implements a combine of academic learning and practical sessions to give the candidates/student most favorable coverage that aids in the alteration of immature students into thorough specialized that are simply engaged within the companies.

Type Tutoring ETL Testing Online Training from Hyderabad Course Content: DATA WAREHOUSING CONCEPTS: DBMS and RDBMS What is Data Warehousing and necessity of it? Data warehousing architecture OLAP,ROLAP, MOLAP Data mining Meta data Tables, views Constraints Fact and Dimensional Tables Partitioning of tables Concepts of Referential Integrity Concepts of Modeling Database Schema Concepts of normalization Concepts of Slowly Changing Dimensions Concepts of Data Mart Full and Incremental extraction Process Change Data capture SQL CONCEPTS: DDL, DML commands All the basic functions Joins Practice SQLs for some sample test scenarios ETL TESTING: What is ETL and importance of ETL testing? Creating, running and analyzing sessions/workflows in Informatica Preparation of Test strategy, Test plan and estimations Testing scenarios, creation of test cases and scripts Test case execution and defect tracking and reporting REPORT TESTING: Validation of the report data with DB and UI testing Preparation of Test data LEVELS OF TESTING Unit testing Integration testing Module testing System testing UAT PRACTICE SESSIONS ON ETL TESTING

Database Testing Online Training In Hyderabad Course Content: DATABASE TESTING CONCEPTS PRIMER The Database Component: What is a Database Application? Testing at the Database layer Why should Test professionals know DB Basics? The DB component: What is a Data-Based Application? Back end vs. Front End Testing Examining the data's round trip through the app Common problems in Relational Databases that affect the Database Application Testing the Application vs. Testing the DBMS Knowledge Requirements for Database Testing Test Plan: Organizing your approach Data must pass Quality Assurance too! Test Set up RELATIONAL DATABASE BASICS FOR TESTING Why should Test professionals know Relational DB basics? What's a relational database? Types of Data Integrity Lack of data integrity introduces bugs Identifying Design Defects Inspecting table structures to reveal design problems Exploratory Testing: Reading an ERD Table Relationships: 1-1, 1-many, many-to-many What to look for when Testing Relational Databases DATA NORMALIZATION BUGS What bugs are caused by improperly normalized databases Understanding Normalization: First, 2nd and 3rd Normal Form Understanding Denormalization Identifying poor design; developing Test cases INTRODUCTION TO SQL Why should Test professionals know Structured Query Language? SQL essentials Basic SQL statements for Testing

Type Computer Hi, We are going to start Online Training Session on SAP ABAP by Industry Leading Experts, MaxMunus Technology, Bangalore,India SAP ABAP Stands for Advanced Business Application program, Fourth Generation. ABAP is considered to be very friendly and flexible in terms of customizing ERP Applications. It is a programming language for developing application on SAP R/3 System. The Latest version of ABAP projects is OOP programming. For creating ABAP program we need to have good programming skill and database design. From all basics functions are written in ABAP language.All programs are written in SAP database. ABAP code exits in two form source code and generated code. Source code could be edited with the help of workbench tools. Generated code is binary representation. Key Concepts of SAP ABAP::  Introduction to ABAP  Data Dictionary  Reports  Functional Modules  Smart Forms  User Exists  Conversion Programs (BAPI & BDC)  BADI Concepts  Enhancements  OOPS ABAP Key feature of ABAP is Database Interface which turns database independent ABAP statement to DBMS. Database Interface has extra feature of buffering of frequently accessed data. For Joining online training batches please feel free to call or email us. Name- Madhurima Bose Skype id: madhu_maxmunus Phone: +-

WARM WELCOME FROM VELGRO TECHNOLOGIES!!! We are providing training for DATA WAREHOUSE Training is provided by well experienced (REAL TIME) Faculty!!! Fee structure Course fees: RS./- Data Warehouse The Compelling Need for Data Warehousing • Escalating Need for Strategic Information • Failures of Past Decision-Support Systems • Operational Versus Decision-Support Systems • Datawarehousing—The Only Viable Solution • Datawarehouse Defined • The Datawarehousing Movement • Evolution of Business Intelligence Data Warehouse: The Building Blocks • Review formal definitions of a data warehouse • Discuss the defining features • Distinguish between data warehouses and data marts • Study each component or building block that makes up a data warehouse • Introduce metadata and highlight its significance Trends in Data Warehousing • Data Warehouse Do-Overs • Proliferation of Data Sources • Outsourcing • Hub Versus Relational Databases • Active Data Warehouses • Fusion with CRM • Growing Number of End Users • More Complex Queries • Integrated Customer View • Exploding Data Volumes Planning and Project Management • Phases in project management • Inception • Elaboration • Construction • Transition Defining the Business Requirements • To gain agreement with stakeholders • To provide a foundation to communicate to a technology service provider what the solution needs to do to satisfy the customer’s and business’ needs • To provide input into the next phase for this project • To describe what not how the customer/business needs will be met by the solution Requirements as the driving force for data warehousing • Understand why business requirements are the driving force • Discuss how requirements drive every development phase • Specifically learn how requirements influence data design • Review the impact of requirements on architecture • Note the special considerations for ETL and metadata • Examine how requirements shape information delivery The Architectural Components • Overall Architecture • Data Warehouse Database • Sourcing, Acquisition, Cleanup and Transformation Tools • Meta data • Data Marts • Data Warehouse Administration and Management Infrastructure as the Foundation for Data Warehousing • Understand the distinction between architecture and infrastructure • Find out how the data warehouse infrastructure supports its architecture • Gain an insight into the components of the physical infrastructure • Review hardware and operating systems for the data warehouse • Study parallel processing options as applicable to the data warehouse • Discuss the server options in detail • Learn how to select the DBMS • Review the types of tools needed for the data warehouse • Study the concept and use of data warehouse appliances The Significant Role of Metadata • Find out why metadata is so important • Understand who needs metadata and what types they need • Review metadata types by the three functional areas • Discuss business metadata and technical metadata in detail • Examine all the requirements metadata must satisfy • Understand the challenges for metadata management • Study options for providing metadata Principles of Dimensional Modelling • Clearly understand how the requirements definition determines data design • Introduce dimensional modelling and contrast it with entity-relationship modelling • Review the basics of the STAR schema • Find out what is inside the fact table and inside the dimension tables • Determine the advantages of the STAR schema for data warehouses Dimensional Modelling: Advanced Topics • Discuss and get a good grasp of slowly changing dimensions • Understand large dimensions and how to deal with them • Examine the snowflake schema in detail • Learn about aggregate tables and determine when to use them • Completely survey families of STARS and their application Data Extraction, Transformation, and Loading • Part I: When to build your data warehouse • Part II: Building a new schema • Part III: Location of your data warehouse The Physical Design Process in DWH • Distinguish between physical design and logical design as applicable to the data warehouse • Study the steps in the physical design process in detail • Understand physical design considerations and know the implications • Grasp the role of storage considerations in physical design • Examine indexing techniques for the data warehouse environment • Review and summarize all performance enhancement options • Matching Information to the Classes of Users OLAP in the Data Warehouse • OLAP (Online Analytical Processing) • Overview & Introduction • OLAP Cube • HISTORY of OLAP • OLAP Operations • DATAWAREHOUSE • ARCHITECHTURE Difference between OLAP & • OLTP & TYPES OF OLAP APPLICATIONS OF OLAP • Data Warehousing and the Web • Data Warehouse Deployment • Data Quality: A Key to Success • Data Mining Basics • Growth and Maintenance contact person: SUJITHA Venue Address: #st floor,Gandhi Road, Velachery Email Id:velgrotechnologies at gmail dot com info at velgrotechnologies dot com Website:www dot velgrotechnologies dot com