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SAP Plant Maintenance Course Syllabus: SAP Overview •my SAP Business Suite •Navigation (system handling) •Plant Maintenance Overview PM Organizational Structure •Planning Plant •Maintenance Plant •Planner Groups Master Data: •Material Master •Functional Location •Equipment •Equipment BOM •Equipment Task list •Work center •Measuring Point and Measuring counter Maintenance Processing - Planning •Breakdown and Corrective Maintenance •Creation of Maintenance Notification •Release of Maintenance Notification •Maintenance Order creation from Notification •Material Requirement Planning. •Purchase Order creation for Maintenance Materials Maintenance Processing - Execution •Maintenance Order Release •Goods issue for Maintenance Order •Confirmation of Maintenance Order •Closing of Maintenance Order •Creation of Measuring Document Preventive Maintenance •Maintenance Strategy •Time based strategy Plan •Performance based strategy Plan •Condition based Maintenance •Creation of Maintenance Plan •Scheduling of Maintenance Plan •Preventive Maintenance Order execution •Dead line Monitoring Refurbishment of Spare Parts •Spare Parts •Refurbishment of spare parts Processing Inspection of measuring equipment •Integration with Quality Management •Calibration inspection Various Reports in PM module •Functional Location Reports •Equipments Reports •Maintenance Order Reports •Other Reports Important Configuration and Integration with other modules •Configuration steps involved in PM •PM integration with MM, PP, QM and FI/CO modules •

Introduction to Big Data and Hadoop What is Big Data? What are the challenges for processing big data? What technologies support big data? Distribution systems. 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 Developing the Map Reduce Application Configuring development environment - Eclipse Writing Unit Test Running locally Running on Cluster MapReduce workflows How MapReduce Works Anatomy of a MapReduce job run Failures Job Scheduling Shuffle and Sort Task Execution MapReduce 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 MapReduce Features Counters Sorting Joins - Map Side and Reduce Side Side Data Distribution MapReduce Combiner MapReduce Partitioner MapReduce Distributed Cache Hive and PIG Fundamentals When to Use PIG and HIVE Concepts HBASE CAP Theorem Hbase Architecture and concepts Programming

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Informatica classroom/online with job oriented best coaching in Sandsys with live projects by Real-Time experts and low fees. Course NameInformatica Demo ClassesMorning & Evening In Week Days VenueSandsys Technologies TrainerHaving 7+ years of experience MODE OF TRAINING: NORMAL TRACK FAST TRACK ONLINE DURAION: 30 DAYS 15 DAYS 30 Days DAILY SESSION: 1hr 30min 2hr 30min 1hr 30min LAB SESSION: 7AM – 9PM SOFTCOPY OF MATERIAL AND SOFTWARES REAL-TIME PROJECT WITH EXPLANATION 100% JOB ASSURANCE CONTENT DATAWAREHOUSING CONCEPTS: •Introduction to Datawarehousing •Data Modelling(Schemas, FACTS and DIMENSIONS) •Slowly Changing Dimensions •Metadata INFORMATICA POWERCENTER 8.6 COURSE CONTENTS •INFORMATICA OVERVIEW oHistory of Informatica oOpportunities of Informatica oOther ETL tools oPower center Administration oInformatica Power center architecture oPower center components oETL Plan oPower center Clients oDesigner oWorkflow manager oWork Flow monitor oWorkflow manager oRepository manager oPower center repository oAdministrative tool oRepository services oIntegration services oPower center domain oApplication services oConcept of nodes and grid oService manager oPower center administration console oRepository Administration oCreating Repository Users and Groups. oConnecting to the Repository. oCreating a Group oAssigning Privileges to a Group. oCreating a User oCreating a Folder oFolder Permissions •DESIGNER oTypes of Transformations oConnected and Unconnected Transformations oActive and Passive Transformations oCreating Source Tables oCreating Target Definitions oCreating Target Tables oCreating source definitions oCreating a Mapping oConnecting Transformations oTransformation Creation oImporting sources and targets (database objects) oImporting sources and targets (flat files and XML files) oUsing Transformations oAggregator Transformation oExpression Transformation oLookup Transformation (Connected and Un Connected) oUnion Transformation oJoiner Transformation oFilter Transformation oSequence Generator Transformation oStored Procedure Transformation oSource Qualifier Transformation oRouter Transformations oRank Transformations oUpdate Strategy Transformation oXML Transformation oSQL Override in source qualifier Transformation and lookup Transformation oConnecting the Target oConnecting Transformations oCreating a Mapping oCompleting the Mapping oCreating a Pass-Through Mapping oCreating a Mapping with SCD Type 1 and SCD Type 2 oCreating a Mapping with Aggregate Values oTarget load order plan oMapping wizards oReusable Transformation oMapplet overview and usage •WORKFLOW MANAGER oCreating the Session oCreating the Workflow oUsing the workflow manager oCreating Sessions and Workflows oConstraint base loading oConfiguring Database Connections in the Workflow Manager oCreating a Reusable Session oCreating a Workflow oRunning and Monitoring Workflows oOpening the Workflow Monitor oWorkflow Tasks oSession oAssignment task oLink task oEvent raise task oEvent wait task oTimer task oPost session and Pre-session commands oSession recovery oCommit points oCreation of Parameter file oMapping and session parameter oPerformance tuning in ETL oVarious optimization techniques oPushdown optimization oIncremental aggregation •WORKFLOW MONITOR oHow to monitor loads oUses of Workflow monitor oMonitoring the jobs oHow to get Session Logs and Workflow Logs •Real time Questions and Answers •Real time scenarios

1. ARCHITECTURE OF PEOPLESOFT HRMS/HCM PeopleSoft Internet Architecture PeopleSoft Database Architecture PeopleSoft Portal Architecture. 2. PEOPLE TOOLS & DEVELOPMENT TOOLS I) Application Designer Developing and Customization of Records, Views, Pages Building Components 2) Application Engine Fundamentals of App Engine AE Program Elements State Records Temporary Tables & Parallel Processing 3. REPORTING TOOLS 1)People Soft Query Types of Queries Creation and Navigation thru PIA 2)SQR  Basics of SQR 4. ADMINISTRATION TOOLS Security, Definition Security Portal Security Data Mover 5. PEOPLE CODE Events Types, Built in Functions People Code Language People Code, Application Process Debugging People Code Classes 6. Component Interface Defining and validating CI Access Permission to CI CI with App Engine 7. FileLayout Creation of File Layout in App Designer Basic Functions FileLayout with App Engine 8. SQR Reporting Developing SQR Defining SQC’s,SQR Flow Error Handling Debugging [PeopleSoft HRMS Functional Course Content] [] Content for People Soft HRMS Functional Chapter 1: Introduction to People Soft  Objective and HR Functionality  History of the People soft  HCM Process flow and integrations  Basic Key Terms and definitions  Recall Session & Testing Practice (Introduction, Users, Effective Date, Effective Sequence, Rows, Action Buttons, Employee Type & Pay Frequency) Chapter 2: Employee Self Service Module  Personal Information Update/Modify/Delete (1.1 Email Update, 1.2 Phone Update 1.3 Blood Groups, 1.4 Dependent Info 1.5 Language & Passport Detail Etc)  Learning Development  Performance Management  Compensation – Bank info update  Benefits  Recall Session & Testing Practice Chapter 3: Manager Self Service Module  Associate Job &Personal Information (1.View Employee Personal Info 2.Request/Approve Reporting Change 3.View Reporting change Status 4.Transfer Employee 5. Approve Transfer Employee 6. View Transfer Status 7.Promote Employee 8.Approve Promotion)  Learning Development (1.Training Summary 2. Request Training Enrollment 3.Approve Training Request 4.View Training Request Status 5.Approve Competency)  Performance Management [PeopleSoft HRMS Functional Course Content] [.Performance Document - Create/Current /History/Admin stack 2.Admin Task -Transfer/Delete/Cancel document 3.Approve Document 4.View Approval Status 5.Maintain Performance Notes)  Recall Session & Testing Practice Chapter 4: Core HR Module  Terminology (1. Business Unit 2. Set ID 3.Company Table 4.Establishment Table 5.Location Table 6.Department Table)  Foundation & Transaction Table (1.Foundation - Eg: Job code, Department, Location 2. Transaction - Eg: Personal Data, Job Data)  Prompt Table & Translate Values (1. Prompt - Eg: Department, Job code 2. Translate Values - Eg: Job data)  Compensation Table (1. Salary Plan/Grade/Step 2.Comp Rate Codes)  JOB Table (1.Job Code 2.Job Family 3. Job Profile 4. Job Function)  Recall Session & Testing Practice Chapter 5: Position Management Module  Create / Copy and View the Position  View Position Data Summary  View Position Vacant Budget  Hiring a person to Position  Recall Session & Testing Practice Chapter 6: Administer Workforce Management [PeopleSoft HRMS Functional Course Content] []  HR Transactions from Hire to Exit (1. Hire/Transfer/Promotion/ Termination etc 2. Global Assignment)  Separations (Or) Self Service Transactions (1.To Approve/Deny Name Change request & Marital Status 2. To Approve/Deny Resignation 3. To Transfer Performance Document 4. Exit Interview)  Associate Personal/Job Info (1.Modify a Person 2. Person Organizational Summary 3. Additional Names 4. Person Checklist 5. To View Employee Provident Fund Number 6. To View Employee Job Summary)  Recall Session & Testing Practice Chapter 7: E-Performance Management Module  Performance Doc Creation by Employee  Performance Doc Creation by Manager  Performance Evaluation by Employee  Performance Evaluation by Manager  HR Performance document Creation  HR Performance Admin Task and Others (1.Performance Document - Create/Current /History/Admin stack 2.Admin Task -Transfer/Delete/Cancel document 3.Approve Document 4.View Approval Status 5.Maintain Performance Notes)  Recall Session & Testing Practice Chapter 8: Enterprise Absence Management  Employee Apply/Cancel/Comp Off Leave [PeopleSoft HRMS Functional Course Content] []  Manager Apply /Cancel / Comp Off Leave/ Leave Balance  HR Leave Management  Time Sheet Submission  Recall Session & Testing Practice Chapter 9: Benefits Module  Enroll in Benefits  Dependent Beneficiary  Recall Session & Testing Practice Chapter 10: NA Payroll Workflow

FOR FREE DEMO contact us at: Phone/WhatsApp: +91-(850) 012-2107 HADOOP ONLINE TRAINING BY REALTIME CORPORATE PROFESSIONALS Hadoop Course Content (we can customize the course content as per your requirement) HADOOP Using Cloudera Development & Admin Course Introduction to BigData, Hadoop:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice Phone/WhatsApp: +91-(850) 012-2107

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