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This training on Jmeter software testing is provided by an IT Professional having vast experience on performance testing. He has expertise on performance engineering. He has worked on a large number of projects involving performance testing and performance engineering. He takes corporate trainings on performance testing tools like Rational Performance Tester, Load Runner, OpenSTA, Rational Robot and of course JMeter. JMeter Software Testing Training Agenda Session 1 – Introduction Introducing JMeter? What is Functional/regression/stress testin? What is a test plan? Identifying the testing needs Defining the steps of test Creating JMeter test JMeter GUI The basic elements of a JMeter test plan Building a functional test with your Internet browser Executing your functional test Reading the results of your test The power of JMeterOverview of available JMeter components and functions Implementing an advanced functional test using the key JMeter functions and components Designing and implementing your own practical example to “test” a website of your choice Stress testing Analyzing website traffic Identifying what you to test Modelling the real world in JMeter Extracting and reading the results Other key features Stress testing a database Using JMeter from the command line Editing a test plan in a text/XML editor Session 2Distributed (Remote) TestingPreparing remote environment Running distributed Gathering and analyzing results Using distributed testing with load balancers Variables Creating user variable Extracting data from a web page to a variable Functions Using functions Function helper Session 3Using BeanShell ScriptingShort introduction to BeanShell Creating samplers BeanShell listener __BeanShell function Testing Application with Real Data Configuring Apache Web Server to record appropriate data Access Log Sampler Security issues Performance Testing Fundamentals Stress testing Load testing Soak testing Running multiple threads Setting rump-up period Threads and users Distributed Testing Configuring servers Gathering results Submitting Forms Extracting form ID or checksums Generating sequence or random data Getting data from database Recording forms with a JMeter proxy server Submitting data recorded in log files Managing Sessions Session managers Session per thread Session per user Session 4 Load Distribution Using Apache log files to determine distribution Analyzing distribution and creating appropriate test plans Timers Gaussian Random Timer Other Resources and Load Time Images Java scripts JMeter and HTTP headers policy (browser and proxy caching) Resource Monitoring Monitoring and analyzing CPU resources Monitoring database queries Monitoring memory utilization Monitoring network traffic Running monitoring tools periodically Analyzing and Interpreting Load Test Results Running tests at night and creating periodical reports Statistics available from JMeter Sample, Average, Median, Deviation, Throughput Response time graphs Margins of Error Analyzing results with Excel Interpreting statistical results Finding the bottlenecks Regression and correlations Also, we offer trainings on high end software testing tools like Rational Functional Tester RFT, Selenium, Quick Test Professional QTP, Rational Quality Manager RQM, Quality Center QC, Loadrunner LR and many more. Call me at: .

Institute of Good Clinical Practice (iGCP) offers different unique programs for aspiring professionals willing to pursue a career in Clinical Research, Clinical Data Management,CDISC-SDTM, and SAS. The training program aims to provide a career path for professionals from Life Sciences and Statistics background. Highly experienced staffs from clinical research and data management industry trains students with hands on experience on various areas in clinical research, Clinical Data Management, CDISC-SDTM, SAS, Pharmacovigilance,Drug regulatory affairs, Table Listings Figures (TLF’S)etc. Institute of Good Clinical Practice (iGCP) provide training in three different modes like Class Room, Online-learning for all Medical, Pharmacy and Science students and professionals aspiring to make a career in Clinical Research. Technical learning's: Extensive knowledge of drug safety and drug development process and procedures In-depth knowledge of coding principles, submission criteria, regulatory timeline requirements, technical requirements and guidelines Extensive knowledge of US and ICH safety reporting regulations and guidelines. Good understanding of IND safety reports, 21 CFR part 11 and HIPPA guidelines. Performed triage, evaluation and processing of adverse event reports from post marketing and clinical sources in accordance with FDA and ICH guidelines Working knowledge pertaining to MedDRA and WHO Drug dictionaries. Proficient in data entry and excellent knowledge of ARGUS safety database. Eligibility: Bachelor's, Master’s, or PhD, MBBS/ MD/B.D.S /M.D.S/ B.A.M.S / B.H.M.S /B.P.T/ B.Tech (Biotechnology / Pharmaceutical Science) / B. Pharm /M.Pharm /BVSC / B.Sc. (Nursing) / B.Sc./M.Sc, M.Pharmacy, M.Sc /MA (Statistics) and all professionals working with Pharmaceutical companies, CROs and Hospital.

Institute of Good Clinical Practice (iGCP) offers different unique programs for aspiring professionals willing to pursue a career in Clinical Research, Clinical Data Management,CDISC-SDTM, and SAS. The training program aims to provide a career path for professionals from Life Sciences and Statistics background. Highly experienced staffs from clinical research and data management industry trains students with hands on experience on various areas in clinical research, Clinical Data Management, CDISC-SDTM, SAS, Pharmacovigilance,Drug regulatory affairs, Table Listings Figures (TLF’S)etc. Institute of Good Clinical Practice (iGCP) provide training in three different modes like Class Room, Online-learning for all Medical, Pharmacy and Science students and professionals aspiring to make a career in Clinical Research. Technical learning's: Extensive knowledge of drug safety and drug development process and procedures In-depth knowledge of coding principles, submission criteria, regulatory timeline requirements, technical requirements and guidelines Extensive knowledge of US and ICH safety reporting regulations and guidelines. Good understanding of IND safety reports, 21 CFR part 11 and HIPPA guidelines. Performed triage, evaluation and processing of adverse event reports from post marketing and clinical sources in accordance with FDA and ICH guidelines Working knowledge pertaining to MedDRA and WHO Drug dictionaries. Proficient in data entry and excellent knowledge of ARGUS safety database. Eligibility: Bachelor's, Master’s, or PhD, MBBS/ MD/B.D.S /M.D.S/ B.A.M.S / B.H.M.S /B.P.T/ B.Tech (Biotechnology / Pharmaceutical Science) / B. Pharm /M.Pharm /BVSC / B.Sc. (Nursing) / B.Sc./M.Sc, M.Pharmacy, M.Sc /MA (Statistics) and all professionals working with Pharmaceutical companies, CROs and Hospital. ADDRESS: INSTITUTE OF GOOD CLINICAL PRACTICE, # 2ND FLOOR,ABOVE MORE SUPER MARKET, NEAR SRIPURAM COLONY BUS STOP, MOOSARAMBAGH, MALAKPET, HYDERABAD. PH:,, 040 .

Institute of Good Clinical Practice (iGCP) offers different unique programs for aspiring professionals willing to pursue a career in Clinical Research, Clinical Data Management,CDISC-SDTM, and SAS. The training program aims to provide a career path for professionals from Life Sciences and Statistics background. Highly experienced staffs from clinical research and data management industry trains students with hands on experience on various areas in clinical research, Clinical Data Management, CDISC-SDTM, SAS, Pharmacovigilance,Drug regulatory affairs, Table Listings Figures (TLF’S)etc. Institute of Good Clinical Practice (iGCP) provide training in three different modes like Class Room, Online-learning for all Medical, Pharmacy and Science students and professionals aspiring to make a career in Clinical Research. Technical learning's: Extensive knowledge of drug safety and drug development process and procedures In-depth knowledge of coding principles, submission criteria, regulatory timeline requirements, technical requirements and guidelines Extensive knowledge of US and ICH safety reporting regulations and guidelines. Good understanding of IND safety reports, 21 CFR part 11 and HIPPA guidelines. Performed triage, evaluation and processing of adverse event reports from post marketing and clinical sources in accordance with FDA and ICH guidelines Working knowledge pertaining to MedDRA and WHO Drug dictionaries. Proficient in data entry and excellent knowledge of ARGUS safety database. Eligibility: Bachelor's, Master’s, or PhD, MBBS/ MD/B.D.S /M.D.S/ B.A.M.S / B.H.M.S /B.P.T/ B.Tech (Biotechnology / Pharmaceutical Science) / B. Pharm /M.Pharm /BVSC / B.Sc. (Nursing) / B.Sc./M.Sc, M.Pharmacy, M.Sc /MA (Statistics) and all professionals working with Pharmaceutical companies, CROs and Hospital. FOR ONLINE TIMINGS: PM TO PM FOR CLASS ROOM TIMINGS: AM TO PM ADDRESS: INSTITUTE OF GOOD CLINICAL PRACTICE, # 2ND FLOOR,ABOVE MORE SUPER MARKET, NEAR SRIPURAM COLONY BUS STOP, MOOSARAMBAGH, MALAKPET, HYDERABAD. PH:,, 040 .

Institute of Good Clinical Practice (iGCP) offers different unique programs for aspiring professionals willing to pursue a career in Clinical Research, Clinical Data Management,CDISC-SDTM, and SAS. The training program aims to provide a career path for professionals from Life Sciences and Statistics background. Highly experienced staffs from clinical research and data management industry trains studentswith hands on experience on various areas in clinical research, Clinical Data Management, CDISC-SDTM,SAS, Pharmacovigilance,Drug regulatory affairs, Table Listings Figures (TLF’S)etc. Institute of Good Clinical Practice (iGCP) provide training in three different modes like Class Room,Online-learning for all Medical, Pharmacy and Science students and professionals aspiring to make a career in Clinical Research. Technical learning's: Extensive knowledge of drug safety and drug development process and procedures In-depth knowledge of coding principles, submission criteria, regulatory timeline requirements, technical requirements and guidelines Extensive knowledge of US and ICH safety reporting regulations and guidelines. Good understanding of IND safety reports, 21 CFR part 11 and HIPPA guidelines. Performed triage, evaluation and processing of adverse event reports from post marketing and clinical sources in accordance with FDA and ICH guidelines Working knowledge pertaining to MedDRA and WHO Drug dictionaries. Proficient in data entry and excellent knowledge of ARGUS safety database. Eligibility: Bachelor's, Master’s, or PhD, MBBS/ MD/B.D.S /M.D.S/ B.A.M.S / B.H.M.S/B.P.T/ B.Tech (Biotechnology / Pharmaceutical Science) / B. Pharm /M.Pharm /BVSC / B.Sc. (Nursing) / B.Sc./M.Sc, M.Pharmacy, M.Sc /MA (Statistics) and all professionals working with Pharmaceutical companies, CROs and Hospital. MAIL ID: WEBSITE: www.igcp.co.in FOR ONLINE TIMINGS: PM TO PM FOR CLASS ROOM TIMINGS: AM TO PM ADDRESS: INSTITUTE OF GOOD CLINICAL PRACTICE, # 2ND FLOOR,ABOVE MORE SUPER MARKET, NEAR SRIPURAM COLONY BUS STOP, MOOSARAMBAGH, MALAKPET, HYDERABAD. PH:,, 040 .

Ikyaglobaledu is the best in providing SAS Training in hyderabad with 100% placement assistance. We provide SAS Training with covering all concepts and our syllabus is here Program Coverage: This foundation course focuses on the following key areas: reading raw data files and SAS data sets and writing the results to SAS data sets; subsetting data; combining multiple SAS files; creating SAS variables and recoding data values; and creating listing and summary reports. Getting Started with the SAS System: •Accessing the SAS System •Navigating among the SAS programming windows •Understanding the difference between batch mode and interactive mode •Opening and submitting a program in the Program Editor window •Checking the SAS log for program errors •Examining your program's output •Understanding data sets, variables, and observations •Understanding DATA and PROC steps •Diagnosing and correcting programming errors •Explaining SAS syntax and SAS naming conventions Getting Familiar with SAS Data Sets: •Explain the concept of a SAS data library •Differentiate between a permanent library and a temporary library •Investigate a SAS data library using the CONTENTS procedure Producing List Reports: •Generate simple list reports using the PRINT procedure •Display selected columns and rows in a list report •Display a list report with column totals •Sort observations in a SAS data set •Control page breaks for subgroups •Identify observations using the ID statement Enhancing Output: •Customizing report appearance •Formatting data values •Creating HTML reports Creating SAS Data Sets: •Using column input and formatted input •Examining data errors •Assigning variable attributes Programming with the DATA Step: •Reading SAS data sets and creating variables •Executing statements conditionally using IF-THEN logic •Controlling the length of character variables explicitly with the LENGTH statement •Selecting rows to include in a SAS data set •Using SAS date constants Combining SAS Data Sets: •Using the SET statement to concatenate two or more SAS data sets •Using the RENAME= data set option to change the names of variables •Using the SET and BY statements to interleave two or more SAS Data Sets Producing Summary Reports: •Creating one-way and two-way frequency tables using the FREQ procedure •Generate simple descriptive statistics using the MEANS procedure •Using the REPORT procedure to create a listing report •Using the RBREAK statement to produce a grand total Introduction to Graphics (Optional): •Producing bar and pie charts •Enhancing output with titles, footnotes, color, and fonts •Producing plots •Controlling appearance of the axes For more information about the SAS Course please call us @

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Job directed SAS BASE coaching is provided by transparent gem Systems in metropolis. Our team consists of experienced consultants of about eight years. Our consultants educate our students in real time that is needed for up to date industries wants. The coaching programs ar versatile for our shoppers and that we attempt exhausting for fulfilling our client wants and assure for quality services. we tend to conduct each on-line and schoolroom coaching categories.. BENEFITS OF transparent gem •Classes for each on-line and schoolroom •Placement help for all trainees •Certification support •Good fee structure with discount •Well-structured IT supplier. •Trainers with expertise in IT corporations •Resume preparation SAS-BASE SAS (Statistical Analysis System) BASE is developed for business intelligence. it's integrated package for accessing knowledge, managing knowledge and generating reports. it's able to use programs for statistics and writing of reports, knowledge manipulation, info storage and maintenance.SAS BASE coaching in transparent gem systems offers exhaustive data on subject. during this program we tend to teach you the fundamentals of knowledge repositing before beginning SAS BASE category. during this coaching we tend to cowl curriculum in modules of SAS, accessing knowledge, making knowledge, managing knowledge and generating the reports. At the completion in fact we offer SAS BASE certificate. SYLLABUS OF SAS-BASE •DATAWAREHOSING •SAS INTRODUCTION •ACCESSING knowledge •CREATING knowledge SETS •MANAGING knowledge •GENERATING REPORTS •HANDLING ERRORS

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BASE SAS MODULES Day 1: Introduction to the SAS System Components of Base SAS Software Output Produced by the SAS System Ways to Run SAS Programs Running Programs in the SAS Windowing Environment Introduction to DATA Step Processing The SAS Data Set introduction How the DATA Step Works: A Basic Introduction Supplying Information to Create a SAS Data Set Introduction to Raw Data Examine the Structure of the Raw Data: Factors to Consider Reading Unaligned Data Reading Data That Is Aligned in Columns Reading Data That Requires Special Instructions Reading Unaligned Data with More Flexibility Mixing Styles of Input Day 2: Introduction to Beyond the Basics with Raw Data Using INFILE statement and various options. Testing a Condition before Creating an Observation Creating Multiple Observations from a Single Record Reading Multiple Records to Create a Single Observation Problem Solving: When an Input Record Unexpectedly Does Not have enough values Day 3: Introduction to Starting with SAS Data Sets Understanding the Basics Input SAS Data Set for Examples Reading Selected Observations Reading Selected Variables Creating More Than One Data Set in a Single DATA Step Using the DROP=, KEEP= and WHERE= Data Set Options for Efficiency Introduction to DATA Step Processing Input SAS Data Set for Examples Adding Information to a SAS Data Set Defining Enough Storage Space for Variables Conditionally Deleting an Observation Day 4: Introduction to Working with Numeric Variables About Numeric Variables in SAS Input SAS Data Set for Examples Calculating with Numeric Variables Comparing Numeric Variables Storing Numeric Variables Efficiently Numeric Functions. Day 5: Introduction to Working with Character Variables Input SAS Data Set for Examples Identifying Character Variables and Expressing Character Values Handling Missing Values Creating New Character Values Saving Storage Space by Treating Numbers as Characters Character Functions Day 6: Introduction to Acting on Selected Observations Input SAS Data Set for Examples Selecting Observations Constructing Conditions Comparing Characters Introduction to Creating Subsets of Observations Input SAS Data Set for Examples Selecting Observations for a New SAS Data Set Conditionally Writing Observations to One or More SAS Data Sets Day 7: Introduction to Working with Grouped or Sorted Observations Input SAS Data Set for Examples Working with Grouped Data Working with Sorted Data Introduction to Using More Than One Observation in a Calculation Input File and SAS Data Set for Examples Accumulating a Total for an Entire Data Set Obtaining a Total for Each BY Group Writing to Separate Data Sets Using a Value in a Later Observation Day 8: Introduction to Using More Than One Observation in a Calculation Input File and SAS Data Set for Examples Accumulating a Total for an Entire Data Set Obtaining a Total for Each BY Group Writing to Separate Data Sets Using a Value in a Later Observation Introduction to Working with Dates Understanding How SAS Handles Dates Input File and SAS Data Set for Examples Entering Dates Displaying Dates Using Dates in Calculations Using SAS Date Functions Comparing Durations and SAS Date Values Day 9: Introduction to Combining SAS Data Sets Definition of Concatenating Definition of Interleaving Definition of Merging Definition of Updating Definition of Modifying 237 Comparing Modifying, Merging, and Updating Data Sets Day 10: Introduction to Concatenating SAS Data Sets Concatenating Data Sets with the SET Statement Concatenating Data Sets Using the APPEND Procedure Choosing between the SET Statement and the APPEND Procedure. Introduction to Interleaving SAS Data Sets Understanding BY-Group Processing Concepts Interleaving Data Sets Day 11: Introduction to Merging SAS Data Sets Understanding the MERGE Statement One-to-One Merging Match-Merging Choosing between One-to-One Merging and Match-Merging Introduction to Updating SAS Data Sets Understanding the UPDATE Statement Understanding How to Select BY Variables Updating a Data Set Updating with Incremental Values Understanding the Differences between Updating and Merging Handling Missing Values Day 12: Input SAS Data Set for Examples Modifying a SAS Data Set: The Simplest Case Modifying a Master Data Set with Observations from a Transaction Data Set Understanding How Duplicate BY Variables Affect File Update Handling Missing Values Introduction to Conditional Processing from Multiple SAS Data Sets Input SAS Data Sets for Examples Determining Which Data Set Contributed the Observation Combining Selected Observations from Multiple Data Sets Performing a Calculation Based on the Last Observation Day 13: Introduction to Analysing Your SAS Session with the SAS Log Understanding the SAS Log Locating the SAS Log Understanding the Log Structure Writing to the SAS Log Suppressing Information to the SAS Log Changing the Log’s Appearance Introduction to Directing SAS Output and the SAS Log Input File and SAS Data Set for Examples Routing the Output and the SAS Log with PROC PRINTTO Storing the Output and the SAS Log in the SAS Windowing Environment Redefining the Default Destination in a Batch or Non interactive Environment Introduction to Diagnosing and Avoiding Errors Understanding How the SAS Supervisor Checks a Job Understanding How SAS Processes Errors Distinguishing Types of Errors Diagnosing Errors Using a Quality Control Checklist Day 14: Introduction to Creating Detail and Summary Reports with the REPORT Procedure Understanding How to Construct a Report Input File and SAS Data Set for Examples Creating Simple Reports Creating More Sophisticated Reports Day 15: Introduction to Proc means Deriving descriptive statistics Introduction to Proc univariate and various options Day 16: Introduction to Proc freq Calculating counts using Freq Outputting the counts into a dataset Proc Transpose introduction Using VAR, ID and BY statement efficiently in transpose Reshaping the data with required variables Day 17: Introduction to Producing Charts to Summarize Variables Understanding the Charting Tools Input File and SAS Data Set for Examples Charting Frequencies with the CHART Procedure Customizing Frequency Charts Creating High-Resolution Histograms Day 18: Introduction to Writing Lines to the SAS Log or to an Output File Understanding the PUT Statement Writing Output without Creating a Data Set Writing Simple Text Introduction to the Basics of Understanding and Customizing SAS Output Understanding Output Input SAS Data Set for Examples Locating Procedure Output Making Output Informative Controlling Output Appearance Controlling the Appearance of Pages Representing Missing Values Day 19: Introduction to Customizing SAS Output by Using the Output Delivery System Input Data Set for Examples Understanding ODS Output Formats and Destinations Selecting an Output Format Creating Formatted Output Day 20: Proc Format introduction Creating format catalogue Converting catalogue to dataset Storing formats permanently and finding out formats in a library Accessing a Permanent SAS Data Set with User-Defined Formats ADVANCED SAS MODULES Day 21: Getting Started with the Macro Facility Replacing Text Strings Using Macro Variables Generating SAS Code Using Macros More Advanced Macro Techniques Other Features of the Macro Language Introduction to SAS Programs and Macro Processing How SAS Processes Statements without Macro Activity How SAS Processes Statements with Macro Activity Introduction to Macro Variables Macro Variables Defined by SAS Macro Variables Defined by Users Using Macro Variables Displaying Macro Variable Values Referencing Macro Variables Indirectly Manipulating Macro Variable Values with Macro Functions Introduction to Macro Processing Defining and Calling Macros How the Macro Processor Compiles a Macro Definition How the Macro Processor Executes a Compiled Macro Summary of Macro Processing Day 22: Introduction to the Scopes of Macro Variables Global Macro Variables Local Macro Variables Writing the Contents of Symbol Tables to the SAS Log How Macro Variables Are Assigned and Resolved Introduction to Macro Expressions Defining Arithmetic and Logical Expressions How the Macro Processor Evaluates Arithmetic Expressions Day 23: Introduction to Macro Quoting Deciding When to Use a Macro Quoting Function and Which Function to Use Using Various Macro Functions %STR and %NRSTR Functions etc Using the %BQUOTE and %NRBQUOTE Functions Referring to Already Quoted Variables Deciding How Much Text to Mask with a Macro Quoting Function Using %SUPERQ Summary of Macro Quoting Functions and the Characters They Mask Unquoting Text How Macro Quoting Works Other Functions That Perform Macro Quoting Day 24: Introduction to Storing and Reusing Macros Saving Macros in an Auto call Library Saving Macros Using the Stored Compiled Macro Facility General Macro Debugging Information Troubleshooting Your Macros Debugging Techniques Introduction to Writing Efficient and Portable Macros Keeping Efficiency in Perspective Writing Efficient Macros Writing Portable Macros PROJECT CONTENT COVERED Day Creation of Efficacy tables. Creation of Standard and safety tables. Day 28 Creation of listings Day Creation of Graphs a)Bar Charts b)Scatter plot c)Line plot d)Box plot Day 31 Creation of Analysis datasets/derived datasets Day 32 Introduction to SDTM CRF Annotation (ONLY BASICS) Introduction to mapping specification (ONLY BASICS) Introduction to SDTM dataset Creation (ONLY BASICS) Validation in Open CDISC (ONLY BASICS) Day 33 Introduction to ADAM Standards (ONLY BASICS) Mock interview and providing assistance for interview preparation Contact:

Type Tutoring In the U.S, It is legally binding on doctors to provide medical records of their patients after consultation and healthcare provided by them for health insurance and health record purposes. To save time, doctors use digital voice recorders to dictate their patients’ medical history, observations made, and treatment done. These dictations are then converted as digital voice files and sent to medical language specialists, who in turn listen to them and then transcribe them into readable medical records. These reports further undergo rigorous editing and proofreading before they are returned back to the doctor. This process of converting dictated medical reports into readable medical records is called Medical Transcription. Medical Transcription job opportunities in the US are projected to grow at a rate of 8% till according to the US Bureau of Labor Statistics Employment projection. As of May , approximately 20 million Americans had gained health insurance coverage under the Patient Protection and Affordable Care Act (PPACA) or Obama Care. America’s aging population is also contributing to an increased number of healthcare visits and the retirement of high number of Medical Transcription professionals is anticipated to strongly stimulate the need for more medical transcription service. Enhance your Career NOW!. CALL / / -

Type Tutoring Medical Transcription In the U.S, It is legally binding on doctors to provide medical records of their patients after consultation and healthcare provided by them for health insurance and health record purposes. To save time, doctors use digital voice recorders to dictate their patients’ medical history, observations made, and treatment done. These dictations are then converted as digital voice files and sent to medical language specialists, who in turn listen to them and then transcribe them into readable medical records. These reports further undergo rigorous editing and proofreading before they are returned back to the doctor. This process of converting dictated medical reports into readable medical records is called Medical Transcription. Medical Transcription job opportunities in the US are projected to grow at a rate of 8% till according to the US Bureau of Labor Statistics Employment projection. As of May , approximately 20 million Americans had gained health insurance coverage under the Patient Protection and Affordable Care Act (PPACA) or Obama Care. America’s aging population is also contributing to an increased number of healthcare visits and the retirement of high number of Medical Transcription professionals is anticipated to strongly stimulate the need for more medical transcription service. Enhance your Career NOW!. CALL / / -

Type Tutoring Medical Transcription Careers for Home-based Jobs What is Medical Transcription? In the U.S, It is legally binding on doctors to provide medical records of their patients after consultation and healthcare provided by them for health insurance and health record purposes. To save time, doctors use digital voice recorders to dictate their patients’ medical history, observations made, and treatment done. These dictations are then converted as digital voice files and sent to medical language specialists, who in turn listen to them and then transcribe them into readable medical records. These reports further undergo rigorous editing and proofreading before they are returned back to the doctor. This process of converting dictated medical reports into readable medical records is called Medical Transcription. Medical Transcription Industry & Job Opportunities: Medical Transcription job opportunities in the US are projected to grow at a rate of 8% till according to the US Bureau of Labor Statistics Employment projection. As of May , approximately 20 million Americans had gained health insurance coverage under the Patient Protection and Affordable Care Act (PPACA) or Obama Care. America’s aging population is also contributing to an increased number of healthcare visits and the retirement of high number of Medical Transcription professionals is anticipated to strongly stimulate the need for more medical transcription service. Azimuth Academy provides on-campus & online training in Medical Transcription. On successful completion of training candidates are provided MT jobs at Azimuth or with Partner Companies nearby to you. Enhance your Career!. CALL NOW! / / - .

SAS (Statistical Analysis Software/System) BASE SAS & Adv. SAS:- Class Room: Training Fee & Duration: 15K & 2 MonthsOnline: Training Fee & Duration: 18K & 2 Months Learning SAS: Getting Started with SAS §Basic overview about SAS software §Basic about programming Working with SAS syntax §Fundamental concepts §Characteristics of SAS statements §Explain SAS syntax rules Getting Familiar with SAS dataset Reading SAS datasets Reading SAS datasets Reading Excel worksheets Reading Delimited Raw data files Validating and cleaning data Manipulating data Combining SAS Datasets Enhancing Report (ODS systems) Summary Reports Controlling Input and Output Summarizing Data Reading Raw Data Files Data Transformations TRANSPOSE Procedure Learning Excel: The Basics Managing your workbooks Editing a Workbook Formulas Working with the Forms Menu Creating & Working with Charts Data Analysis & Pivot Tables Lookup table Statistics with Excel SQL Procedure: Introduction to SQL procedure Basic Queries Displaying Query Results Sub queries SQL Joins Set Operators Creating Tables and views Interfacing SQL with Macro Language Managing Tables Use of SQL in Clinical Trials Macro language (SAS Macro): Macro Variables Macro definitions Data Step and SQL Procedure Macro Programs §Conditional processing §Global and Local macro variables Use of Macro language SAS Enterprise Guide: Introduction Reading Data from Files Creating Reports Working with Data in the Query Builder Joining Two Data Files Together contact us Flat.No: 401, Plot.No: 15, 16, 17/a, Nandhini Residency, Addagutta Society, Western Hills, JNTU Circle, KPHB, Kukatpally, Hyd-500072, A.P, INDIA. Phone: +91-40-64622230/31 Mobile: +91-9848733309

Type Tutoring INSTALLING AND SETTING UP THE WAREHOUSE BUILDER ENVIRONMENT What Is Oracle Warehouse Builder? Basic Process Flow of Design and Deployment Oracle Warehouse Builder Licensing and Connectivity Options Installing Oracle Warehouse Builder 11.2 OWBSYS Schema Using OWB 11.2 with Database 10g R2 Using the Repository Assistant to Manage Workspaces Supported operating systems (OS), sources, targets, and optional components GETTING STARTED WITH WAREHOUSE BUILDER Logging In to OWB Design Center Overview of the Design Center OWB Projects Overview of Objects within a Project Overview of Objects within an Oracle Module Organizing Metadata Using Foldering Locations Navigator and Globals Navigator panels Setting Projects Preferences: Recent Logons UNDERSTANDING THE WAREHOUSE BUILDER ARCHITECTURE Warehouse Builder Development Cycle Overview of the Architecture for Design, Deployment, Execution Overview of Configurations, Control Centers, and Locations Creating Target Schemas Registering DB User as an OWB User Roles and Privileges of Warehouse Builder Users Registering an Oracle Workflow User DEFINING SOURCE METADATA Data warehouse implementation: Typical steps Difference Between Obtaining Relational and Flat File Source Metadata Creating Flat File Module Sampling Simple Delimited File Sampling Multi-record Flat File Creating an Oracle Module Selecting the Tables for Import DEFINING ETL MAPPINGS FOR STAGING DATA Purpose of a Staging Area Define OWB Mappings Mapping Editor Interface: Grouping, Ungrouping, and Spotlighting Creating External Tables Create and Bind process Levels of Synchronizing Changes Using the Automapper in the Mapping Editor Set loading type and target load ordering USING THE DATA TRANSFORMATION OPERATORS Component Palette Using a Joiner Lookup Operator: Handling Multiple Match Rows Using the Subquery Filter Operator Using the Set, Sequence, and Splitter Operators Pivot and Unpivot Operators Using the Aggreagator, Constant, Transformation, and Pre/Post Mapping Operators Deploying and Executing in Projects Navigator Panel CLEANSING AND MATCH-MERGING NAME AND ADDRESS DATA Integrating Data Quality into ETL Name and Address Data Cleansing Name and Address Server Name and Address Software Providers Settings in the Name and Address Operator Reviewing a Name and Address Mapping Consolidating Data Using the Match Merge Operator Using the Match Merge Operator in a Mapping USING PROCESS FLOWS Process Flow Concepts Creating a Process Flow Module, a Process Flow Package and a Process Flow Types of Activities: Fork, And, Mapping, End Activity Creating Transitions Between Activities Some More Activities: Manual, SQLPLUS, Email Generating the Process Flow Package DEPLOYING AND REPORTING ON ETL JOBS Logical Versus Physical Implementation Setting Object Configuration Deployment Concepts Invoking the Control Center Manager Deploy Options and Preferences Repository Browser Starting OWB Browser Listener and the Repository Browser Browsing Design Center and Control Center Reports USING THE MAPPING DEBUGGER Overview of the Mapping Debugger Initializing a Mapping Debugging Session Preparing the testing environment and test data Setting breakpoints and watch points Evaluating the flow of data to detect mapping errors ENHANCING ETL PERFORMANCE Performance Tuning at Various Levels Performance-Related Parameters in ETL Design Configuring Mappings for Operating Modes, DML Error Logging, Commit Control, and Default Audit Levels Enabling Partition Exchange Loading (PEL) for Targets Performance-Related Parameters in Schema Design Configuring Indexes, Partitions, Constraints Enabling Parallelism and Parallel DML Setting Tablespace Properties and Gathering Schema Statistics MANAGING BACKUPS, DEVELOPMENT CHANGES, AND SECURITY Overview of Metadata Loader Utilities (MDL) Managing Metadata Changes by Using Snapshots Using Change Manager Version Management of Design Objects Graphical UI for Security Management Object-Level Security Setting Security Parameters INTEGRATING WITH ORACLE BUSINESS INTELLIGENCE ENTERPRISE EDITION (OBI EE) Business Justification: Tools Integration Integrating with OBI EE and OBI SE Transferring BI Metadata to OBI EE Server Setting Up the UDML File Location Deriving the BI Metadata (OBI EE) Deploying the BI Module Converting the UDML File for OBI EE Oracle BI Admin and Answers Tool APPENDIX B: CREATING EXPERTS Harnessing OWB Power and Complexity for New Users OWB "Experts": Directed Guidance and Knowledge Management Creating an Expert Starting an Expert Creating Your Own Custom Dialog Scenario: ROLAP to MOLAP in Five Easy Steps Scenario: Expert for Creating External Table APPENDIX C: USING DIAGNOSIS AND DEBUGGING TECHNIQUES Collecting Information Before Contacting Oracle Support Sequence Used by Oracle Support Representatives to Process Calls Activating Debugging and Logging for Full Java Debug Trace Activating Tracing Using the Service_Doctor.sql Script Troubleshooting and Diagnosing Errors in Control Center Agent (CCA) Run-Time Views and Utilities Online Warehouse Builder Resources

Type Tutoring The Best OWB Online Training Institute From Hyderabad, India Course Content: INSTALLING AND SETTING UP THE WAREHOUSE BUILDER ENVIRONMENT What Is Oracle Warehouse Builder? Basic Process Flow of Design and Deployment Oracle Warehouse Builder Licensing and Connectivity Options Installing Oracle Warehouse Builder 11.2 OWBSYS Schema Using OWB 11.2 with Database 10g R2 Using the Repository Assistant to Manage Workspaces Supported operating systems (OS), sources, targets, and optional components GETTING STARTED WITH WAREHOUSE BUILDER Logging In to OWB Design Center Overview of the Design Center OWB Projects Overview of Objects within a Project Overview of Objects within an Oracle Module Organizing Metadata Using Foldering Locations Navigator and Globals Navigator panels Setting Projects Preferences: Recent Logons UNDERSTANDING THE WAREHOUSE BUILDER ARCHITECTURE Warehouse Builder Development Cycle Overview of the Architecture for Design, Deployment, Execution Overview of Configurations, Control Centers, and Locations Creating Target Schemas Registering DB User as an OWB User Roles and Privileges of Warehouse Builder Users Registering an Oracle Workflow User DEFINING SOURCE METADATA Data warehouse implementation: Typical steps Difference Between Obtaining Relational and Flat File Source Metadata Creating Flat File Module Sampling Simple Delimited File Sampling Multi-record Flat File Creating an Oracle Module Selecting the Tables for Import DEFINING ETL MAPPINGS FOR STAGING DATA Purpose of a Staging Area Define OWB Mappings Mapping Editor Interface: Grouping, Ungrouping, and Spotlighting Creating External Tables Create and Bind process Levels of Synchronizing Changes Using the Automapper in the Mapping Editor Set loading type and target load ordering USING THE DATA TRANSFORMATION OPERATORS Component Palette Using a Joiner Lookup Operator: Handling Multiple Match Rows Using the Subquery Filter Operator Using the Set, Sequence, and Splitter Operators Pivot and Unpivot Operators Using the Aggreagator, Constant, Transformation, and Pre/Post Mapping Operators Deploying and Executing in Projects Navigator Panel CLEANSING AND MATCH-MERGING NAME AND ADDRESS DATA Integrating Data Quality into ETL Name and Address Data Cleansing Name and Address Server Name and Address Software Providers Settings in the Name and Address Operator Reviewing a Name and Address Mapping Consolidating Data Using the Match Merge Operator Using the Match Merge Operator in a Mapping USING PROCESS FLOWS Process Flow Concepts Creating a Process Flow Module, a Process Flow Package and a Process Flow Types of Activities: Fork, And, Mapping, End Activity Creating Transitions Between Activities Some More Activities: Manual, SQLPLUS, Email Generating the Process Flow Package DEPLOYING AND REPORTING ON ETL JOBS Logical Versus Physical Implementation Setting Object Configuration Deployment Concepts Invoking the Control Center Manager Deploy Options and Preferences Repository Browser Starting OWB Browser Listener and the Repository Browser Browsing Design Center and Control Center Reports USING THE MAPPING DEBUGGER Overview of the Mapping Debugger Initializing a Mapping Debugging Session Preparing the testing environment and test data Setting breakpoints and watch points Evaluating the flow of data to detect mapping errors ENHANCING ETL PERFORMANCE Performance Tuning at Various Levels Performance-Related Parameters in ETL Design Configuring Mappings for Operating Modes, DML Error Logging, Commit Control, and Default Audit Levels Enabling Partition Exchange Loading (PEL) for Targets Performance-Related Parameters in Schema Design Configuring Indexes, Partitions, Constraints Enabling Parallelism and Parallel DML Setting Tablespace Properties and Gathering Schema Statistics MANAGING BACKUPS, DEVELOPMENT CHANGES, AND SECURITY Overview of Metadata Loader Utilities (MDL) Managing Metadata Changes by Using Snapshots Using Change Manager Version Management of Design Objects Graphical UI for Security Management Object-Level Security Setting Security Parameters INTEGRATING WITH ORACLE BUSINESS INTELLIGENCE ENTERPRISE EDITION (OBI EE) Business Justification: Tools Integration Integrating with OBI EE and OBI SE Transferring BI Metadata to OBI EE Server Setting Up the UDML File Location Deriving the BI Metadata (OBI EE) Deploying the BI Module Converting the UDML File for OBI EE Oracle BI Admin and Answers Tool APPENDIX B: CREATING EXPERTS Harnessing OWB Power and Complexity for New Users OWB "Experts": Directed Guidance and Knowledge Management Creating an Expert Starting an Expert Creating Your Own Custom Dialog Scenario: ROLAP to MOLAP in Five Easy Steps Scenario: Expert for Creating External Table APPENDIX C: USING DIAGNOSIS AND DEBUGGING TECHNIQUES Collecting Information Before Contacting Oracle Support Sequence Used by Oracle Support Representatives to Process Calls Activating Debugging and Logging for Full Java Debug Trace Activating Tracing Using the Service_Doctor.sql Script Troubleshooting and Diagnosing Errors in Control Center Agent (CCA) Run-Time Views and Utilities Online Warehouse Builder Resources

Contact us: Swathi, +91-, OWB Online Training Institute from Hyderabad India Course Content: INSTALLING AND SETTING UP THE WAREHOUSE BUILDER ENVIRONMENT What Is Oracle Warehouse Builder? Basic Process Flow of Design and Deployment Oracle Warehouse Builder Licensing and Connectivity Options Installing Oracle Warehouse Builder 11.2 OWBSYS Schema Using OWB 11.2 with Database 10g R2 Using the Repository Assistant to Manage Workspaces Supported operating systems (OS), sources, targets, and optional components GETTING STARTED WITH WAREHOUSE BUILDER Logging In to OWB Design Center Overview of the Design Center OWB Projects Overview of Objects within a Project Overview of Objects within an Oracle Module Organizing Metadata Using Foldering Locations Navigator and Globals Navigator panels Setting Projects Preferences: Recent Logons UNDERSTANDING THE WAREHOUSE BUILDER ARCHITECTURE Warehouse Builder Development Cycle Overview of the Architecture for Design, Deployment, Execution Overview of Configurations, Control Centers, and Locations Creating Target Schemas Registering DB User as an OWB User Roles and Privileges of Warehouse Builder Users Registering an Oracle Workflow User DEFINING SOURCE METADATA Data warehouse implementation: Typical steps Difference Between Obtaining Relational and Flat File Source Metadata Creating Flat File Module Sampling Simple Delimited File Sampling Multi-record Flat File Creating an Oracle Module Selecting the Tables for Import DEFINING ETL MAPPINGS FOR STAGING DATA Purpose of a Staging Area Define OWB Mappings Mapping Editor Interface: Grouping, Ungrouping, and Spotlighting Creating External Tables Create and Bind process Levels of Synchronizing Changes Using the Automapper in the Mapping Editor Set loading type and target load ordering USING THE DATA TRANSFORMATION OPERATORS Component Palette Using a Joiner Lookup Operator: Handling Multiple Match Rows Using the Subquery Filter Operator Using the Set, Sequence, and Splitter Operators Pivot and Unpivot Operators Using the Aggreagator, Constant, Transformation, and Pre/Post Mapping Operators Deploying and Executing in Projects Navigator Panel CLEANSING AND MATCH-MERGING NAME AND ADDRESS DATA Integrating Data Quality into ETL Name and Address Data Cleansing Name and Address Server Name and Address Software Providers Settings in the Name and Address Operator Reviewing a Name and Address Mapping Consolidating Data Using the Match Merge Operator Using the Match Merge Operator in a Mapping USING PROCESS FLOWS Process Flow Concepts Creating a Process Flow Module, a Process Flow Package and a Process Flow Types of Activities: Fork, And, Mapping, End Activity Creating Transitions Between Activities Some More Activities: Manual, SQLPLUS, Email Generating the Process Flow Package DEPLOYING AND REPORTING ON ETL JOBS Logical Versus Physical Implementation Setting Object Configuration Deployment Concepts Invoking the Control Center Manager Deploy Options and Preferences Repository Browser Starting OWB Browser Listener and the Repository Browser Browsing Design Center and Control Center Reports USING THE MAPPING DEBUGGER Overview of the Mapping Debugger Initializing a Mapping Debugging Session Preparing the testing environment and test data Setting breakpoints and watch points Evaluating the flow of data to detect mapping errors ENHANCING ETL PERFORMANCE Performance Tuning at Various Levels Performance-Related Parameters in ETL Design Configuring Mappings for Operating Modes, DML Error Logging, Commit Control, and Default Audit Levels Enabling Partition Exchange Loading (PEL) for Targets Performance-Related Parameters in Schema Design Configuring Indexes, Partitions, Constraints Enabling Parallelism and Parallel DML Setting Tablespace Properties and Gathering Schema Statistics MANAGING BACKUPS, DEVELOPMENT CHANGES, AND SECURITY Overview of Metadata Loader Utilities (MDL) Managing Metadata Changes by Using Snapshots Using Change Manager Version Management of Design Objects Graphical UI for Security Management Object-Level Security Setting Security Parameters INTEGRATING WITH ORACLE BUSINESS INTELLIGENCE ENTERPRISE EDITION (OBI EE) Business Justification: Tools Integration Integrating with OBI EE and OBI SE Transferring BI Metadata to OBI EE Server Setting Up the UDML File Location Deriving the BI Metadata (OBI EE) Deploying the BI Module Converting the UDML File for OBI EE Oracle BI Admin and Answers Tool APPENDIX B: CREATING EXPERTS Harnessing OWB Power and Complexity for New Users OWB "Experts": Directed Guidance and Knowledge Management Creating an Expert Starting an Expert Creating Your Own Custom Dialog Scenario: ROLAP to MOLAP in Five Easy Steps Scenario: Expert for Creating External Table APPENDIX C: USING DIAGNOSIS AND DEBUGGING TECHNIQUES Collecting Information Before Contacting Oracle Support Sequence Used by Oracle Support Representatives to Process Calls Activating Debugging and Logging for Full Java Debug Trace Activating Tracing Using the Service_Doctor.sql Script Troubleshooting and Diagnosing Errors in Control Center Agent (CCA) Run-Time Views and Utilities Online Warehouse Builder Resources

SAP BODS Online Training Course Content: - SAP BODS Architecture - SAP BODS Components - SAP BODS Designer - SAP BODS Objects - Initial Transforms (To understand quickly How BODS is very simple and readable) 1. Query Transform 1. Example 2. Different Options available in Query Transform 3. Real Time Usage (Where did I use as part of my assignments) 2. Case Transform 1. Example 2. Different Options available in Case Transform 3. Real Time Usage (Where did I use as part of my assignments) 3. Merge Transform 1. Example 2. Different Options available in Case Transform 3. Real Time Usage (Where did I use as part of my assignments) – Management Console - Meta Data Reports 1. Administrator Tab - Scheduling in BODS - Exporting as execution command (External Scheduling) 2. Auto Documentation 3. Impact / Linage Analysis 4. Execution statistics/ Performance Monitoring 1. SQL Transform 1. Example 2. Different Options available in SQL Transform 3. Real Time Usage (Where did I use as part of my assignments) 2. Validation Transform 1. Example 2. Different Options available in Validation Transform 3. Real Time Usage (Where did I use as part of my assignments) 3. Table Comparison Transform 1. Example 2. Different Options available in Table Comparison Transform 3. Real Time Usage (Where did I use as part of my assignments) Extracting from Flat Files - Different Functions available - Scripting - Conditional Objects - Lookup Functions - Error Handling - Debugging - Source Options - Target Options 1. Remaining Regular Transforms (Around 10 other transforms) 1. Example 2. Different Options available 3. Real Time Usage (Where did I use as part of my assignments) - SCD Type / Type 2 / Type 3 Implementation using SAP BODS - Cover integration with other Data bases. SAP BODS ONLINE TRAINING CONTACT US: India: + Usa: +

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