On Campus Training for Colleges

Webtrackker Technologies offers training programs to the acquisition of knowledge, skills, and competencies as a result of the teaching of vocational, practical skills and knowledge that relate to specific useful competencies. It forms the core of apprenticeships and provides the backbone of content at institutes. Training and development is the field concerned with organizational activity aimed at improving the performance of ones and groups in organizational settings. It has been known by several names, including employee development, human resource development, and learning and development. Webtrackker offers various training programs both on long term and short term basis. We also host various centrally funded training programs.

Which type training we are providing:

Corporate Training

Industrial Training for Students

On Campus Training for Colleges.

Industrial/Summer training

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Address:

Webtrackker Technologies

B-47, Sector- 64

Noida- 201301

Phone: 8802820025

Email: Info@Webtrackker.Com

Web:  Www.Webtrackker.Com

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JAVA/J2EE/STRUTS SPRING & HIBERNATE
JAVA/J2EE TRAINING COURSES

Advanced JAVACore JAVADAOEJBHibernateJ2EEJ2EE ProjectsJ2MEJ2ME ProjectsJava CertificationJava projectsJava ScriptJSPRMIServletSpringStrutsWeb ServicesWeblogicWebsphere
XML Webservices
J2EE (ADVANCE JAVA)COURSES

J2EE (Java 2 platform, Enterprise Edition) is a Java platform designed for the mainframe-scale computing typical of large enterprises. Sun Microsystems(Together with industry partners such as IBM) designed J2EE to simplify application development in thin client tiered environment. J2EE simplifies Application development and decreases the need for programming and Programmer training by creating standardized, reusable modular components and by enabling the tier to handle many aspects of programming automatically.

The J2EE platform takes advantage of many features off the Java 2 Platform, standard Edition (J2SE), such as “Write once, Run Anywhere” Portability, JDBC API for data base access, CORBA technology for interaction With existing enterprise resources, and a security model that protects data even in internet application. Building on this base, the Java 2 platform, Enterprises Edition adds full support for Enterprises JavaBeans components, Java servlets API, Java server pages and XML technology. The J2EE standard includes Complete specification and compliance tests to ensure portability of applications Across the wide range of existing enterprise systems capable of supporting the J2EE platform. In addition, the J2EE specification now ensures Web services Interoperability through support for the WS-1 Basic Profile.

INTRODUCTION TO J2EE ARCHITECTURE
TIER ARCHITECTURE
J2EE COMPONENTS
J2EE CONTAINERS
J2EE SERVICES
INTRODUCTION TO UML
INTRODUCTION TO XML
JAVA SERVLET
JAVA SERVER PAGES (JSP )
Struts (Framework)
J2EE DESIGN PATTERN
INTRODUCTION TO WEB SERVICES
WEB SERVER
APPLICATION SERVER
TRANSACTIONS
Hibernate Training Outline
Getting started with Hibernate quickly
Querying
The Persistence Lifecycle
Optimistic Locking / Versioning
Relationships
Inheritance Mapping
Other Topics
Spring Course
Applying Inversion of Control (IoC) and Dependency Injection (DI)
Minimizing Code with Aspect-Oriented Programming (AOP)
Constructing an Effective Data Access Tier with Spring
Abstracting the Data Access Layer
Building a Web Tier with Spring MVC

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Plc Scada training in noida

COURSE CONTENTS FOR SCADA
(Supervisory Control & Data Acquisition)
· Applications of SCADA software
· Different packages available with I/O structure
· Features of SCADA software
· Information on Connectivity with the different hardware
1. Communication protocols
2. Communication with various brands of PLC
3. Communication with Data Acquisition System
· Creating a new SCADA application
· Developing new screens on the Graphic display
· Accessing Symbol Library and designing your own process screens
· Creating Database of Tags
1. Digital / Binary tags
2. Analog Tags
3. Archive tags
· Creating & Editing graphic display with animations like:
1. Data Entry / Start Stop command
2. Sizing
3. Blinking
4. Filling
5. Visibility
6. Movement
· Writing logic through script
1. C Script
2. VB Script
3. Dynamic Dialog
4. Tag action
· Interfacing SCADA display with PLC program
· Operating and Monitoring terms of SCADA WITH PLC
· Trending
1. Creating & Accessing Real-time Trends
2. Creating & Accessing Historical Trends
· Creating Alarms & Events
· Creating different types of message classes
· Editing & Creating Structure of Alarms with message classes.
· Troubleshooting with the scripts used to access desired animation action
· Exercises on all the above features and demonstrating them
Drive Technology:
AC Drives: Drive Selection, Motor & Drive Interfacing, Parameterization of Drives
DC Drives: Drive Selection, Motor & Drive Interfacing, Parameterization of Drives

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COURSE CONTENTS FOR S7-300


· Introduction to Programmable Logic Controller - A Brief History, Need and
advantages of PLC, PLC configuration, System Block Diagram.
· How PLC works?
· General Architecture for PLCs.
· Introduction of Siemens S7-300 PLC
· Hardware details of PLC including front indications, terminals, and ports on the
module.
· Front Panel Controls and Communication details for S7 – 300 PLC
· Selecting the operating mode for the S7-300 CPU
· Specifications/ capabilities of S7 – 300 CPUs
· Selection of PLC as per process.
· Fixed slot and variable addressing for PLC.
· Programming units and using PC as Programming unit.
· Fundamentals of PLC Programming
· Programming language and representation in STL, FBD and LAD.
· Basic Components and their symbols,
· Sensor - Actuator concept for an associated process
· Hardware Properties and setting object properties of Modules in STEP7 software
· Getting familiar with STEP 7 screens, options and navigation
· Solving & developing Logic
· Editing & Modifying Ladder Logic programs
· Exercise based on field applications and PLC internal clock applications
· Use of Symbol Table
· Introduction to the programming blocks: OB, FC, and FB and structured
 Programming
· Importance of Monitor / Modify Variable Table.
· Accessing the data in the S7-300 PLC
· Using Timers and Counters
· Flasher using timers (Exercise)
· Bi-directional Counter (Exercise)
· Comparison Instructions with exercise
· Mathematical Instructions with exercises
· Load Transfer Instructions with exercises
· Functions and Function Block Programming with exercise
· Analog Value Processing
· Scaling and Unsaling analog values.
· Exercise of analog signals using scaling and unscaling blocks
· Demonstration of above instruction with examples
· Solved and Unsolved problems given for hands on practice

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sas training institute in noida

Sas Training in Noida: SAS Data Management provides a unified environment of solutions, tools, methodologies and workflows for managing data as a core asset. Koenig offers a number of courses on SAS Information Management to help professionals analyze and manage data in a streamlined manner.
Chapter 1: INTRODUCTION TO SAS

• INTRODUCTION
• NEED FOR SAS
• WHO USES SAS
• WHAT IS SAS?
• OVERVIEW OF BASE SAS SOFTWARE
• DATA MANAGEMENT FACILITY
• STRUCTURE OF SAS DATASET
• SAS PROGRAM
• PROGRAMMING LANGUAGE
• ELEMENTS OF THE SAS LANGUAGE
• RULES FOR SAS STATEMENTS
• RULES FOR MOST SAS NAMES
• SPECIAL RULES FOR VARIABLE NAMES
• TYPES OF VARIABLES
• DATA ANALYSIS AND REPORTING UTILITIES
• TRADITIONAL OUTPUT
• WAYS TO RUN SAS PROGRAMS
• SAS WINDOWING ENVIRONMENT
• NONINTERACTIVE MODE
• BATCH MODE
• INTERACTIVE LINE MODE
• RUNNING PROGRAMS IN THE SAS WINDOWING ENVIRONMENT

Chapter 2: HOW SAS WORKS

• WRITING YOUR FIRST SAS PROGRAM
• A SIMPLE PROGRAM TO READ RAW DATA AND PRODUCE A REPORT
• ENHANCING THE PROGRAM
• MORE ON COMMENT STATEMENTS
• INTERNAL PROCESSING IN SAS
• HOW SAS WORKS
• THE COMPILATION PHASE
• THE EXECUTION PHASE
• PROCESSING A DATA STEP: A WALKTHROUGH
• CREATING THE INPUT BUFFER AND THE PROGRAM DATA VECTOR
• WRITING AN OBSERVATION TO THE SAS DATA SET
• FOUR TYPES OF SAS LIBRARIES
• SAS LIBRARIES
• WORK LIBRARY
• SASHELP LIBRARY
• SASUSER LIBRARY

Chapter 3: READING RAW DATA INTO SAS

• WHAT IS RAW DATA
• DEFINITIONS
• DATA VALUES
• NUMERIC VALUE
• CHARACTER VALUE
• STANDARD DATA
• NONSTANDARD DATA
• NUMERIC DATA
• CHARACTER DATA
• CHOOSING AN INPUT STYLE
• LIST INPUT
• MODIFIED LIST INPUT
• COLUMN INPUT
• FORMATTED INPUT
• NAMED INPUT
• INSTREAM DATA
• CREATING MULTIPLE RECORDS FROM SINGLE INPUT ROW
• READING DATA FROM EXTERNAL FILES
• READING BLANK SEPARATED VALUES (LIST OR FREE FORM DATA):
• READING RAW DATA SEPARATED BY COMMAS (.CSV FILES):
• READING IN RAW DATA SEPARATED BY TABS (.TXT FILES):
• USING INFORMATS WITH LIST INPUT
• SUPPLYING AN INFORMAT STATEMENT WITH LIST INPUT
• USING LIST INPUT WITH EMBEDDED DELIMITERS
• READING RAW DATA THAT ARE ALIGNED IN COLUMNS:
• METHOD 1: COLUMN INPUT
• METHOD 2: FORMATTED INPUT
• USING MORE THAN ONE INPUT STATEMENT: THE SINGLE TRAILING @
• READING COLUMN DATA THAT IS ON MORE THAN ONE LINE
• MIXED-STYLE INPUT:
• INFILE OPTIONS FOR SPECIAL SITUATIONS
• FLOWOVER
• MISSOVER
• TRUNCOVER
• PAD
• USING LRECL TO READ VERY LONG LINES OF RAW DATA
• CHECKING YOUR DATA AFTER IT HAS BEEN READ INTO SAS

Chapter 4: READING DATA FROM A DATASET

• INTRODUCTION
• SET STATEMENT OVERVIEW
• AUTOMATIC VARIABLES IN SAS
• INTERLEAVE MULTIPLE SAS DATA SETS
• COMBINE MULTIPLE SAS DATA SETS
• CREATING & MODIFYING VARIABLES
• CREATING MULTIPLE DATASETS IN A SINGLE DATA-STEP
• SUBSETTING OBSERVATIONS
• CONDITIONAL SAS STATEMENTS
• LOGICAL AND SPECIAL OPERATORS
• THE SAS SUPERVISOR AND THE SET STATEMENT
• EFFICIENCY AND THE SET STATEMENT
• KNOW YOUR DATA
• SET STATEMENT DATA SET OPTIONS
• DROP AND KEEP OPTIONS
• RENAME OPTION
• FIRSTOBS AND OBS OPTIONS
• IN OPTION -
• WHERE OPTION -
• OTHER SET STATEMENT OPTIONS
• END OPTION
• KEY OPTION
• NOBS OPTION
• POINT OPTION
• DO LOOPS AND THE SET STATEMENT
• INTRODUCTION TO RETAIN STATEMENT
• CARRY OVER VALUES FROM ONE OBSERVATION TO ANOTHER
• COMPARE VALUES ACROSS OBSERVATIONS
• ASSIGN INITIAL VALUES
• DETERMINING COLUMN ORDER IN OUTPUT DATASET
• SAS SYSTEM OPTIONS

Chapter 5: READING DATA FROM A DATASET

• INPUT SAS DATA SET FOR EXAMPLE
• SELECTING OBSERVATIONS FOR A NEW SAS DATA SET
• DELETING OBSERVATIONS BASED ON A CONDITION
• ACCEPTING OBSERVATIONS BASED ON A CONDITION
• COMPARING THE DELETE AND SUBSETTING IF STATEMENTS
• METHODS OF CREATING NEW DATA SETS WITH A SUBSET
• SUBSETTING RECORDS FROM AN EXTERNAL FILE WITH A SUBSETTING IF STATEMENT
• SUBSETTING OBSERVATIONS IN A DATA STEP WITH A WHERE STATEMENT
• SUBSETTING OBSERVATIONS IN A PROC STEP WITH A WHERE STATEMENT
• SUBSETTING OBSERVATIONS IN PROC SQL
• DIFFERENCE BETWEEN IF AND WHERE

Chapter 6: SAS INFORMATS AND FORMATS

• OVERVIEW
• USING SAS INFORMATS
• INPUT STATEMENT
• INPUT FUNCTION
• INPUTN AND INPUTC FUNCTIONS
• ATTRIB AND INFORMAT STATEMENTS
• USING SAS FORMATS
• FORMAT STATEMENT IN PROCEDURES
• PUT STATEMENT
• PUT FUNCTION
• PUTN AND PUTC FUNCTIONS
• BESTw. Format
• ADDITIONAL COMMENTS

Chapter 7: SAS FUNCTIONS

• CATEGORIES OF FUNCTIONS
• SAS CHARACTER FUNCTIONS
• FUNCTIONS THAT CHANGE THE CASE OF CHARACTERS
• UPCASE
• LOWCASE
• PROPCASE
• FUNCTIONS THAT REMOVE CHARACTERS FROM STRINGS
• FUNCTION: COMPBL
• FUNCTION: COMPRESS
• FUNCTIONS THAT SEARCH FOR CHARACTERS
• FUNCTION: ANYALNUM
• FUNCTION: ANYALPHA
• FUNCTION: ANYDIGIT
• FUNCTION: ANYPUNCT
• FUNCTION: ANYSPACE
• FUNCTION: NOTALNUM
• FUNCTION: NOTALPHA
• FUNCTION: NOTDIGIT
• FUNCTION: NOTUPPER
• FUNCTIONS THAT SEARCH STRINGS
• FIND AND FINDC
• INDEX, INDEXC, AND INDEXW
• FUNCTIONS TO VERIFY DATA
• FUNCTION VERIFY
• FUNCTIONS THAT EXTRACT PARTS OF STRINGS
• FUNCTION: SUBSTR (ON THE LEFT-HAND SIDE OF THE EQUAL SIGN)
• FUNCTION: SUBSTRN
• FUNCTIONS THAT JOIN TWO OR MORE STRINGS TOGETHER
• FUNCTION: CAT
• FUNCTION: CATS
• FUNCTION: CATT
• FUNCTION: CATX
• FUNCTIONS THAT REMOVE BLANKS FROM STRINGS
• FUNCTION: LEFT
• FUNCTION: RIGHT
• FUNCTION: TRIM
• FUNCTION: TRIMN
• FUNCTION: STRIP
• FUNCTIONS THAT COMPARE STRINGS
• FUNCTION: COMPARE
• FUNCTIONS THAT DIVIDE STRINGS INTO "WORDS"
• FUNCTION: SCAN
• FUNCTION: SCANQ
• FUNCTIONS THAT SUBSTITUTE LETTERS OR WORDS IN STRINGS
• FUNCTION: TRANSLATE
• FUNCTION: TRANWRD
• FUNCTIONS THAT COMPUTE THE LENGTH OF STRINGS
• FUNCTION: LENGTH
• FUNCTION: LENGTHC
• FUNCTION: LENGTHM
• FUNCTION: LENGTHN
• FUNCTIONS THAT COUNT THE NUMBER OF LETTERS OR SUBSTRINGS IN A STRING
• FUNCTION: COUNT
• FUNCTION: COUNTC
• MISCELLANEOUS STRING FUNCTIONS
• FUNCTION: MISSING
• FUNCTION: REPEAT
• FUNCTION: REVERSE
• SAS DATE AND TIME FUNCTIONS
• INTRODUCTION
• WHAT IS A SAS DATE AND TIME LITERAL?
• DATE AND TIME FUNCTIONS
• FUNCTINS TO CREATE DATE AND TIME VALUES
• FUNCTIONS TO TAKIE DATETIME VALUES APART
• FUNCTIONS TO GET QUARTER ,YEAR OR DAY OF THE DATE
• FUNCTIONS THAT WORK WITH INTERVALS
• USING FORMATS FOR DATE AND TIME
• SYSTEM OPTIONS FORDATE AND TIME

Chapter 8: AN INTRODUCTION TO ARRAYS AND ARRAY PROCESSING

• WHY DO WE NEED ARRAYS?
• BASIC ARRAY CONCEPTS
• ARRAY STATEMENT
• ARRAY REFERENCES
• VARIABLE NAME ARRAY REFERENCE
• USING ARRAY INDEXES
• ONE DIMENSION ARRAYS
• MULTI-DIMENSION ARRAYS
• TEMPORARY ARRAYS
• SORTING ARRAYS
• Determining Array Bounds: LBOUND and HBOUND Functions
• WHEN TO USE ARRAYS
• COMMON ERRORS AND MISUNDERSTANDINGS
• INVALID INDEX RANGE
• FUNCTION NAME AS AN ARRAY NAME
• ARRAY REFERENCED IN MULTIPLE DATA STEPS, BUT DEFINED IN ONLY ONE

Chapter 9: BY - GROUP PROCESSING

• DEFINITIONS FOR BY-GROUP PROCESSING
• BY-GROUP PROCESSING
• BY VALUE
• BY GROUP
• FIRST.VARIABLE AND LAST.VARIABLE
• MODIFYING SAS DATA SETS: EXAMPLES.
• INVOKING BY-GROUP PROCESSING
• PREPROCESSING INPUT DATA FOR BY-GROUP PROCESSING
• SORTING OBSERVATIONS FOR BY-GROUP PROCESSING
• INDEXING FOR BY-GROUP PROCESSING
• HOW THE DATA STEP IDENTIFIES BY GROUPS
• PROCESSING OBSERVATIONS IN A BY GROUP
• HOW SAS DETERMINES FIRST.VARIABLE AND LAST.VARIABLE
• PROCESSING BY-GROUPS IN THE DATA STEP
• OVERVIEW
• PROCESSING BY-GROUPS CONDITIONALLY
• DATA NOT IN ALPHABETIC OR NUMERIC ORDER
• DATA GROUPED BY FORMATTED VALUES

Chapter 10: OVERVIEW OF METHODS FOR COMBINING SAS DATA SETS

• DEFINITIONS
• CONCATENATING
• INTERLEAVING
• ONE-TO- ONE READING OR ONE-TO-ONE MERGING
• MATCH-MERGING
• UPDATING
• MODIFYING
• DEFINITIONS FOR READING, COMBINING, AND MODIFYING SAS DATA SETS
• READING A SAS DATA SET
• COMBINING SAS DATA SETS
• MODIFYING SAS DATA SETS
• OVERVIEW OF TOOLS
• READING SAS DATA SETS
• READING A SINGLE SAS DATA SET
• READING FROM MULTIPLE SAS DATA SETS
• COMBINING SAS DATA SETS: BASIC CONCEPTS
• ONE-TO-ONE
• ONE-TO-MANY AND MANY-TO-ONE
• MANY-TO-MANY
• ACCESS METHODS: SEQUENTIAL VERSUS DIRECT
• SEQUENTIAL ACCESS
• DIRECT ACCESS
• ONE-TO-ONE READING
• DATA STEP PROCESSING DURING A ONE-TO-ONE READING
• ONE-TO-ONE MERGING
• MATCH-MERGING
• UPDATING WITH THE UPDATE AND THE MODIFY STATEMENTS :
• DEFINITIONS
• SYNTAX OF THE UPDATE STATEMENT
• SYNTAX OF THE MODIFY STATEMENT -
• UPDATING WITH NONMATCHED OBSERVATIONS, MISSING VALUES, AND NEW VARIABLES -
• USING AN INDEX WITH THE MODIFY STATEMENT

Chapter 11: SAS PROCEDURES

• INTRODUCTION
• THE ANATOMY OF A PROC
• THE PROC STATEMENT
• TITLE AND FOOTNOTE STATEMENTS
• BY STATEMENT
• LABEL STATEMENT
• FORMAT STATEMENT
• RUN OR QUIT STATEMENT
• DESCRIPTION OF DATA USED IN REPORTS
• SAS REPORTING PROCEDURES
• PROCS FOR ALL THAT DETAIL
• USING PROC PRINT
• USING PROC SQL
• PROC REPORT
• PROCS THAT SUMMARIZE
• USING PROC CHART
• USING PROC FREQ
• USING PROC MEANS
• USING PROC UNIVARIATE
• INTRODUCTION TO PROC TABULATE
• DATA MANIPULATION AND MANAGEMENT PROCEDURE
• PROC SORT
• PROC DATASETS
• PROC FORMAT
• PROC CONTENTS
• OTHER IMPORTANT PROCS
• PROC TRANSPOSE
• DEFINITIONS
• PROC PRINTTO
• COMPARE PROCEDURE
• PROC APPEND
• HOW TO IMPORT AN EXCEL FILE INTO SAS

Chapter 12: INTRODUCTION TO PROC SQL

• INTRODUCTION
• WHY LEARN PROC SQL?
• SELECT STATEMENT
• THE SELECT STATEMENT SYNTAX
• A SIMPLE PROC SQL
• A COMPLEX PROC SQL
• LIMITING INFORMATION ON THE SELECT
• CREATING NEW VARIABLES
• THE CALCULATED OPTION ON THE SELECT
• USING LABELS AND FORMATS
• THE CASE EXPRESSION ON THE SELECT
• ADDITIONAL SELECT STATEMENT CLAUSES
• REMERGING
• REMERGING FOR TOTALS
• CALCULATING PERCENTAGE
• SORTING THE DATA IN PROC SQL
• SORT ON NEW COLUMN
• SUBSETTING USING THE WHERE
• INCORRECT WHERE CLAUSE
• WHERE ON COMPUTED COLUMN
• SELECTION ON GROUP COLUMN
• USE HAVING CLAUSE
• CREATING NEW TABLES
• JOINING DATASETS USING PROC SQL
• INNER JOIN
• JOINING THREE OR MORE TABLES
• OUTER JOINS
• INCLUDING NONMATCHING ROWS WITH THE RIGHT OUTER JOIN
• SELECTING ALL ROWS WITH THE FULL OUTER JOIN
• CONCATENATING QUERY RESULTS

Chapter 13: AN INTRODUCTION TO SAS MACROS

• INTRODUCTION
• SAS MACRO OVERVIEW
• TRADITIONAL SAS PROGRAMMING
• THE SAS MACRO LANGUAGE
• MACRO LANGUAGE COMPONENTS
• MACRO VARIABLES
• MACRO STATEMENTS
• MACRO PROCESSOR FLOW
• AUTOMATIC MACRO VARIABLES
• MACRO DEBUGGING OPTIONS
• WHAT IS A MACRO?
• DEFINING AND USING MACROS
• POSITIONAL MACRO PARAMETERS
• KEYWORD MACRO PARAMETERS
• CONDITIONAL MACRO COMPILATION
• THE %DO STATEMENT
• SAS DATA STEP INTERFACES

Chapter 14: THE OUTPUT DELIVERY SYSTEM (ODS)

• INTRODUCTION
• CREATING VARIOUS TYPES OF REPORTS LISTING OUTPUT
• OTHER DESTINATIONS
• HTML
• PDF AND POSTSCRIPT
• RTF FILES
• MICROSOFT EXCEL
• ADDING STYLE TO YOUR REPORTS
• LOCATE EXISTING STYLES
• ODS STYLE= OPTION
• CUSTOMIZE YOUR REPORTS
• ODS SELECT; AND ODS EXCLUDE;
• OTHER CUSTOMIZATIONS
• ODS PROCLABEL= ;
• ODS PROCTITLE; AND ODS NOPROCTITLE;
• ADVANCED TECHNIQUES
• ODS DOCUMENT
• PROC TEMPLATE

Chapter 15: INTRODUCTION TO DIAGNOSING AND AVOIDING ERRORS

• INTRODUCTION
• UNDERSTANDING HOW THE SAS SUPERVISOR CHECKS A JOB
• UNDERSTANDING HOW SAS PROCESSES ERRORS
• DISTINGUISHING TYPES OF ERRORS .SAS RECOGNIZES FOUR KINDS OF ERRORS:
• SYNTAX ERRORS
• EXECUTION-TIME ERRORS
• DATA ERRORS
• SEMANTIC ERRORS
• DIAGNOSING ERRORS
• DIAGNOSING SYNTAX ERRORS
• DIAGNOSING DATA ERRORS
• USING A QUALITY CONTROL CHECKLIST

Chapter 16: ADVANCE TOPICS IN SAS

• PERFORMING ADVANCED QUERIES USING PROC SQL
• INTRODUCING MACRO VARIABLES
• CREATING AND USING MACRO PROGRAMS
• STORING MACRO PROGRAMS
• CREATING SAMPLES AND INDEXES
• USING LOOKUP TABLES TO MATCH DATA
• MODIFYING SAS DATA SETS AND TRACKING CHANGES
• INTRODUCTION TO EFFICIENT SAS PROGRAMMING

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Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases.

Course Objectives

At the end of the course, participants should be able to:

1. Master the concepts of HDFS and MapReduce framework

2. Understand Hadoop 2.x Architecture

3. Setup Hadoop Cluster and write Complex MapReduce programs

4. Learn the data loading techniques using Sqoop and Flume

5. Perform Data Analytics using Pig, Hive and YARN

6. Implement HBase and MapReduce Integration

7. Implement Advanced Usage and Indexing

8. Schedule jobs using Oozie

9. Implement best Practices for Hadoop Development

10. Work on a Real Life Project on Big Data Analytics

Who should go for this course?

Predictions say 2015 will be the year Hadoop finally becomes a cornerstone of your business technology agenda. To stay ahead in the game, Hadoop has become a must-know technology for the following professionals:

1. Analytics Professionals

2. BI /ETL/DW Professionals

3. Project Managers

4. Testing Professionals

5. Mainframe Professionals

6. Software Developers and Architects

7. Graduates aiming to build a career in Big Data

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