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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

Database Management Training Courses Pune-Hyderabd 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

Database Testing Online Courses At Banglore. 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

Data Stage Course Content at Traning at learning hub Magarpatta city /FC Road Pune (+91-93257-93756) www.learninghub.co.in Data Stage Data Stage Course Content at Learning Hub Contents • Introduction about Data Stage • Difference between Server Jobs and Parallel Jobs • Difference between Pipeline Parallelisms • Partition techniques (Round Robin, Random, Hash, Entire, Same, Modules,Range,DB2,Auto) • Configuration File • Difference between SMP/MPD architecture • Data Stage Components (Server components/Client Components) • Package Installer Data Stage Administrator • Creating project, Editing project and Deleting project • Permissions to user • .Apt Config file • Environment variable creation, permission Data stage director • Introduction to Data stage Director • Job status View • View logs • Scheduling • Batches Creation Designer • Introduction about Designer • Repository • Palatte • Types of Links • File Stages • Sequential File • Data set File • Lookup file set • Difference between Sequential file/Dataset/File set • Database stages • Dynamic RDBMS • Oracle Enterprise • ODBC Enterprise • Stored Procedure Processing stages • Change Capture (Caption) • Compare stage • Difference Stage • Aggregate Stage • Transformer Stage • Surrogate Generator Stage • Join Generator Stage • Merge Generator Stage • Lookup Generator Stage • Difference between join/Lookup/Merge • Difference between join/Lookup • Remove Duplicates • Switch • Pivot • Modify • Funnel Debugging stage • Head • Tail • Pea • Row Generator • Column Generator • Sample • Job Parameters Manager • Introduction About Data stage Manager • Importing the Job • Exporting the Job • Importing Table Definition • Importing Flat File Definition • Routines Containers • Difference between Local Container and Shared Container • Local Container • Shared Container Please Contact- Learning Hub, S-12,Destination Centre, 2nd Floor, Above HDFC Bank, Next to Noble Polyclinic, MAGARPATTA CITY, PUNE – 411013, PH: +91- 93257-93756. Skype id : learning.hub01 Email: learninghub01@gmail.com www.learninghub.co.in Data Stage Online Training, Data Stage Class Room Training, Data Stage Training in Magarpatta City, Data Stage Jobs and Placement, Data Stage Remote Support, Data Stage Online Help,Data Stage Videos training, Data Stage training by Learning Hub, Fast track classes in Data Stage, Best Data Stage training institutes in Pune, Best Faculty in Data Stage, Best online Faculty in Data Stage, Professional classroom training in Data Stage, Professional online training in Data Stage,Data Stage Certification, Data Stage training in Dubai, Data StageTraining in Melbourne, Data Stage Training in Dubai, Data Stage Training, Data Stage Training,Data Stage Training, Data StageOnline Training, Data Stage certfication and suppor

Type Tutoring 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

Contact us: Vani, +91-, 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

Syllabus- Course Objective Summary During this course, you will learn: Introduction to Big Data and Hadoop Hadoop ecosystem - Concepts Hadoop Map - reduce concepts and features Developing the map - reduce Applications Pig concepts Hive concepts Oozie workflow concepts HBASE Concepts Real Life Use Cases Introduction to Big Data and Hadoop What is Big Data? What are the challenges for processing big data? What technologies support big data? What is Hadoop? Why Hadoop? History of Hadoop Use Cases of Hadoop Hadoop eco Syst em HDFS Map Reduce Statistics Understanding the Cluster Typical workflow Writing files to HDFS Reading files from HDFS Rack Awareness 5 daemons Let's talk Map Reduce Before Map reduce Map Reduce Overview Word Count Problem Word Count Flow and Solution Map Reduce Flow Algorithms for simple & Complex problems Developing the Map Reduce Application Data Types File Formats Explain the Driver, Mapper and Reducer code Configuring development environment - Eclipse Writing Unit Test Running locally Running on Cluster Hands on exercises How Map - Reduce Works Anatomy of Map Reduce Job run Job Submission Job Initialization Task Assignment Job Completion Job Scheduling Job Failures Shuffle and sort Oozie Workflows Hands on Exercises Map Reduce Types and Formats Map Reduce Types Input Formats - Input splits & records, text input, binary input, multiple inputs & database input Output Formats - text Output, binary output, multiple outputs, lazy output and database output Hands on Exercises Map Reduce Features Counters Sorting Joins - Map Side and Reduce Side Side Data Distribution MapReduce Combiner MapReduce Partitioner MapReduce Distributed Cache Hands Exercises Hive and PIG Fundamentals When to Use PIG and HIVE Concepts Hands on Exercises HBASE CAP Theorem  Introducti on to NOSQL Hbase Architecture and concepts Programming and Hands on Exercises Case Studies Discussions Certification Guidance Fee- INR+100 INR Registration Duration-45 hours(weekdays & weekends) Online training available on request Get trained on latest technology by ZEN industry expert. Technology: Java-SCJP/OCJP/Hibernate/Struts/Sprint etc.NET- VB.Net/C#/ASP.net/ MVC frarmrework etc Big data/Hadoop etc ETL/ data Stage/SQL Oracle// DBA/App / forms & reports etc C,C++ PHP/HTML5/javascript/JQuery/AJAX/AngularJS etc For other course like software testing, java, PHP, web technologies, Mobile application using Android/iOS and phone GAP please visit our office or contact us on given number Zeuristech Enterprise Networks Pvt. Ltd.,-ZEN 2nd Floor, Saikar Complex,Beside Ginger Hotel Bhumkar Chowk -pune- Land Mark- ICICI/AXIS Bank ATM Building

Big Data & Hadoop Classroon Developer Training In Bangalore. Introduction Course Objective Summary During this course, you will learn: • Introduction to Big Data and Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • HBASE Concepts • Mongo DB Concepts • Sqoop Concepts • Real Life Use Cases Introduction to Big Data and Hadoop • What is Big Data? • What are the challenges for processing big data? • What technologies support big data? • What is Hadoop? • Why Hadoop? • History of Hadoop • Use Cases of Hadoop • Hadoop eco System • HDFS • Map Reduce • Statistics Understanding the Cluster •Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness • 5 daemons Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • Algorithms for simple problems • Algorithms for complex problems Developing the Map Reduce Application • Data Types • File Formats • Explain the Driver, Mapper and Reducer code • Configuring development environment - Eclipse • Writing Unit Test • Running locally • Running on Cluster • Hands on exercises c • Anatomy of Map Reduce Job run • Job Submission • Job Initialization • Task Assignment • Job Completion • Job Scheduling • Job Failures • Shuffle and sort • Oozie Workflows • Hands on Exercises Map Reduce Types and Formats • MapReduce Types • Input Formats - Input splits & records, text input,binary input, multiple inputs & database input. • Output Formats - text Output, binary output, multiple outputs, lazy output and database output • Hands on Exercises. Map Reduce Features •Counters • Sorting • Joins - Map Side and Reduce Side • Side Data Distribution • MapReduce Combiner • MapReduce Partitioner • MapReduce Distributed Cache • Hands Exercises Hive and PIG • Fundamentals • When to Use PIG and HIVE • Concepts • Hands on Exercises HBASE • CAP Theorem • Hbase Architecture and concepts • Programming and Hands on Exercises Case Studies Discussions Thanks&Regards Softech Solution.

Learn in just One month Big Data Hadoop,Hadoop,Hadoop by Industry experts in Elegant it Introduction to Big Data and Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • HBASE Concepts • Mongo DB Concepts • Sqoop Concepts • Real Life Use Cases Introduction to Big Data and Hadoop • What is Big Data? • What are the challenges for processing big data? • What technologies support big data? • What is Hadoop? • Why Hadoop? • History of Hadoop • Use Cases of Hadoop • Hadoop eco System • HDFS • Map Reduce • Statistics Understanding the Cluster •Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness • 5 daemons Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • Algorithms for simple problems • Algorithms for complex problems Developing the Map Reduce Application • Data Types • File Formats • Explain the Driver, Mapper and Reducer code • Configuring development environment - Eclipse • Writing Unit Test • Running locally • Running on Cluster • Hands on exercises c • Anatomy of Map Reduce Job run • Job Submission • Job Initialization • Task Assignment • Job Completion • Job Scheduling • Job Failures • Shuffle and sort • Oozie Workflows • Hands on Exercises Map Reduce Types and Formats • MapReduce Types • Input Formats - Input splits & records, text input,binary input, multiple inputs & database input. • Output Formats - text Output, binary output, multiple outputs, lazy output and database output • Hands on Exercises. Map Reduce Features •Counters • Sorting • Joins - Map Side and Reduce Side • Side Data Distribution • MapReduce Combiner • MapReduce Partitioner • MapReduce Distributed Cache • Hands Exercises Hive and PIG • Fundamentals • When to Use PIG and HIVE • Concepts • Hands on Exercises HBASE • CAP Theorem • Hbase Architecture and concepts • Programming and Hands on Exercises Case Studies Discussions Thanks&Regards Elegant IT Services, #nd Floor,Aswath Nagar Varthur main road,Near Railway Fly Over Maratha halli,Land mark: Chemmunar Jewellers, Bangalore -

Loadrunner-Database course Online Training In Chennai 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

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

List the Attributes | Peculiarity of Oracle Database 12C Examine and explore design, Physical, Practical facet of a relational database Classify the Various types of SQL statements Outline the data set used by the course Signin to the database using SQL Developer environment Store queries to files and Operate script files in SQL Developer Bring Data using the SQL SELECT Statement Describe the abilities of SQL SELECT statements Produce a report of data from the output of a SELECT statement Select All Columns,Specific Columns using query Use Column Heading Defaults, Arithmetic Operators Explain and Explore Operator Precedence and Describe Command ?Thanks & Regards Learners ERA, USA: India: + UK: +

DEGREE:B.E, B.TECH, M.C.A, M.E, Ph.D, B.B.A, B.COM, B.SC, B.B.M, DIPLOMA, M.Phil LOCATION:Coimbatore DURATION:3 Months ABOUT COMPANY:PROMPT INFOTECH is a division of PITH Pvt Ltd, an ISO 9001:2015 certified company. Our services include Software Development, IT Support, BPO Services, Web Development, Electronics product Development and Training & Development. SYLLABUS: SQL: Retriving data using the SQL select statement, Restricting and sorting data, Using single row function to customize output, Reporting aggregated data using the grout function, Displaying data from multiple tables, Displaying data from multiple tables-II, Using sub queries to solve problems, Using set operators, Manipulating data, Using DDL statements to create and manage tables, Creating other schema objects, Managing objects with data dictionary, Controlling User access, Managing schema objects, Manipulating large data sets, Generating report by grouping related data, Managing data in different time zones, Retrieving data using sub queries, Hierarchical retrieval, Regular expression support. PL/SQL: Introduction, Declaring Variables, Writing Executable Statements, Interacting with Oracle Server, Writing Control Structures, Working with Composite Data Types, Writing Explicit Cursors, Writing Implicit Cursors, Handling Exceptions, Creating Procedures, Creating Functions, Managing Subprograms, Creating Packages, More Package concepts, Oracle supplied Packages, Manipulating Large Objects, Creating Database Triggers, More Trigger concepts, Managing Dependents For more details Kindly contact PROMPT INFOTECH A Division of PITH Pvt Ltd 319 / A, 2nd Street, Gandhipuram, Coimbatore Landmark:Above Krishna Bakes Mobile:+91 9894011716 / 0422 4212 616

Softgen Infotech located in BTM Layout, Bangalore is a leading training institute providing real-time and placement oriented Informatica Training Courses in bangalore. Our Informatica training course includes basic to advanced levels. we have a team of certified trainers who are working professionals with hands on real time Informatica projects knowledge which will provide you an edge over other training institutes. Our Informatica training centre is well equipped with lab facilities and excellent infrastructure for providing you real time training experience. We also provide certification training programs in Informatica Training. We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion of the course. We provide placement support for our students. Our team of experts at Softgen Infotech Training Institute, Bangalore have designed our Informatica Training course content and syllabus based on students requirements to achieve everyone's career goal. Our Informatica Training course fee is economical and tailor-made based on training requirement. We Provide regular training classes(day time classes), weekend training classes, and fast track training classes for Informatica Training in our centres located across bangalore. We also provide Online Training Classes for Informatica Training Course. Contact us today to schedule a free demo and complete course details on Informatica Training Course. What is Informatica Training ? Informatica Training Objectives Completeness- data missing or unusable?Confirmity- data stored in a non standard format?Consistency, Accuracy, Duplicates, Integrity.Leverage Informatica s expertise in metadata reporting planning and deployment.Understand the optimal Informatica architecture for your metadata needs.Preview custom metadata reports and dashboards based on your project objectives and Informaticas best practice.Metadata Reporting Enablement Strategy.Metadata reporting standards.Demonstration of Informaticas out-of-the-box and customized reports and dashboards based on your metadata requirements. Training Prerequesites Basics of data ware housingGood to have an idea about sql and pl/sqlGood to have a knowledge on Oracle database and its functionality Course Outline INTRODUCTION TO DATA WAREHOUSING Data warehouse concept Differences between Online Transaction Processing and data warehouse Types of Data Warehouse Data warehouse Architecture Difference between Data warehouse & Data mart Data Warehouse Approaches Data Warehouse Components Logical & physical Design* Operational data sources(ODS) OLAP and its types: ROLAP, MOLAP, HOLAP, DOLAP TOOL KNOWLEDGE Informatica PowerCenter Product Overview Power Center Domain Administration Console PowerCenter Repository PowerCenter Client Repository Service INTEGRATION SERVICE WEB SERVICES HUB MODELLING FOR DATA WAREHOUSE Defining Fact, Dimension, Attributes, Hierarchies, Grain and Granularity Grain and Granularity of Data Fact Table Dimension tables and types* Data Warehouse Schemas*: Star schema and Star Query, star flake schema, snow flake schema and Galaxy Schema REPOSITORY MANAGER Adding a Repository to the Navigator Configuring a Domain Connection Connecting to a Repository Viewing Object Dependencies Validating Multiple Objects Comparing Repository Objects Truncating Workflow and Session Log Entries Managing User Connections and Locks Managing Users and Groups Working with Folders POWERCENTER DESIGNER Source Analyzer Working with Relational Sources Working with Flat Files Target Designer Mappings Transformations Working with Ports Using Default Values for Ports User-Defined Default Values Tracing Levels Basic First Mapping Expression Transformation Filter Transformation Router Transformation Union Transformation Sorter Transformation Rank Transformation Aggregator Transformation Joiner Transformation Source Qualifier Lookup Transformation Lookup Types Lookup Transformation Components Connected Lookup Transformation Unconnected Lookup Transformation Lookup Cache Types: Dynamic, Static, Persistent, Shared Update Strategy Dynamic Lookup Cache Use Lookup Query Lookup and Update Strategy Examples Stored Procedure Transformation Connected Stored Procedure Transformation Unconnected Stored Procedure Transformation Sequence Generator Transformation Mapplets: Mapplet Input and Mapplet Output Transformations Normalizer Transformation XML Sources Import and usage Mapping Wizards Getting Started Slowly Changing Dimensions Mapping Parameters and Variables Parameter File Indirect Flat File Loading WORKFLOW MANAGER Working with Workflows Assigning an Integration Service Working with Links Workflow Variables Session Parameters Working with Tasks Session Task Email Task Command Task Working with Event Tasks Timer Task Decision Task Control Task Assignment Task Schedulers Worklets Partitioning Partitioning Attributes Partitioning Types Session Properties Workflow Properties ADVANCED TOPICS Push down Optimization Technique Unit Testing Version Control Real time Scenario on Dynamic Lookup Cache Real time Scenario on Unconnected Stored procedure and lookup transformation Constraint Based Load Ordering Target Load Plan Order. Informatica Training Course Details Duration:45 Hours Version:latest Version Regular: 1 Hour per day Fast Track: 2 - 3 Hours per day: 10 days Weekdays:Monday - Friday Weekend:Saturday and Sunday Online Training:Available Class Room Training: Available Course Fee: Talk to our Customer Support Mode of Payment:Talk to our Customer Support

Oracle MySQL DBA(100% job guarantee) Course Contents Introduction •Describing MySQL •Currently Supported Operating Systems •Describing Installation of MySQL MySQL Architecture •Client/Server Architecture •MySQL Architecture Overview •How MySQL Uses Disk Space •How MySQL Uses Memory The MySQL Server •Types of MySQL Distributions •Starting and Stopping MySQL on Linux •Upgrading MySQL •Managing Multiple instances in one Server Configuring the MySQL Server •MySQL Configuration •Dynamic Server Variables •Binary Logging MySQL Clients •Overview of Administrative Clients •Using the mysql Client •The mysql dmin Client •MySQL Connectors •Third-Party APIs Overview of Data Types •Data Types •Numeric Data Types •Character String Data Types •Binary String Data Types •Temporal Data Types •NULLs •Column Attributes Metadata •Metadata Access Methods •The INFORMATION_SCHEMA Database/Schema •Using SHOW and DESCRIBE •The mysqlshow Command Storage Engines •Storage Engine Overview •MyISAM, InnoDB, and MEMORY Storage Engines •Other Storage Engines •Choosing Appropriate Storage Engines •Using Multiple Storage Engines •Storage Engine Comparison Chart Partitioning •Overview of Partitioning and reasons for using Partitioning •Creating a Partitioned Table •Obtaining Partition Information •Modifying and Removing Partitions •Partition Modification Performance Effects •Partition Pruning •Storage Engine Partition Information Transactions and Locking •Transactions •Transaction Control statements •Isolation Levels •Locking Security and User Management •Security Risks •Security Measures •Privileges •Access Levels 1 - User Accounts, 2 – Databases, 3 – Tables, 4 – Columns, 5 - Stored Routines •User Account Maintenance •Client Access Control •Using Secure Connections Table Maintenance •Table Maintenance •Client and Utility Programs for table maintenance •Table Maintenance per Storage Engine Exporting and Importing Data •Exporting and Importing Data •Exporting and Importing Data Using SQL •Import Data with the SQL scripts Programming with MySQL •Defining, Executing and Examining Stored Routines •Stored Routines and Execution Security •Defining, Creating, and Deleting Triggers •Trigger Restrictions and Privileges •Defining Events •Schedule Events •DBA's Use of MySQL Programming •Backup Stored Routines Views •What is a view? •Creating Views •Managing Views Backup and Recovery •Planning for Recovery Backup •Backup Tools Overview •Making Raw Backups •Making Logical (Text) Backups •Backup Log and Status Files •Replication as an Aid to Backup •Backup Method Comparison •Data Recovery Introduction to Performance Tuning •Using EXPLAIN to Analyze Queries •General Table Optimizations •Setting and Interpreting MySQL Server Variables Introduction to High Availability •MySQL Replication •Master-slave Replication •Master-Master Replication