Tuesday, 24 January 2017

INFORMATICA ETL TOOL REALTIME ONLINE TRAINING,MOCK INTERVIEW,RESUME BUILD BY HANDS-ON PROFESSIONALS

INFORMATICA (ETL TOOL) ONLINE TRAINING and CORPORATE TRAINING BY REALTIME WORKING EXPERTS 8500122107:APEX

FOR FREE DEMO contact :
Phone/WhatsApp : +91-(850) 012-2107  
  
ETL TOOL INFORMATICA Course Agenda 
(we can customize the course content as per your requirements)

DATAWAREHOUSING CONCEPTS:


Introduction to data warehousing
Characteristics of data warehouse
How to design a data warehouse
Top down and Bottom up approach
What is a data mart
ETL fundamentals
Data Acquisition, Data Merging, Data Cleansing, Data Scrubbing, Data Aggregation
Dimensional Modeling (Dimensions, Facts)
Star Schema
Snowflake Schema
Slowly Changing Dimensions
PowerCenter Components
PowerCenter Client Tools
PowerCenter Designer
Workflow Manager
Workflow Monitor
 Repository Manager
Excercise1:  Pass-through Mapping
Working with source analyzer
Working with target  designer
Working with mapping designer
Working with task developer
Working with workflow designer
Creating Data Source Names
Creating Relational Connections
Types of transformations (Active, Passive)
Excercise2: Expression Transformation Usage
Excercise3: Aggregator Transformation Usage
Excercise4: Filter Transformation Usage
Excercise5: Router Transformation Usage
Excercise6: Sorter Transformation Usage
Excercise7: Rank Transformation Usage
Excercise8: Joiner Transformation Usage
Excercise9: Union Transformation Usage
Excercise10: Lookup Transformation Usage (Connected, Unconnected)
Excercise11: Stored procedure Transformation Usage (Connected, Unconnected)
Excercise12: Sequence generator Transformation Usage
Excercise13: Update Strategy Transformation Usage
Excercise14: Source Qualifier Transformation Usage
Excercise15: Transactional control Transformation usage
Real time Mappings
SCD type-I
SCD type-II
Working with flat files
How to create flat file as target
How to read flat file data
File list (Working With Multiple Files)
Transformation Developer
 How to create a reusable transformation
 How to use reusable transformation in a mapping
 Advantages of reusable transformations
Mapplet Designer
How to create a mapplet (reusable business logic)
How to use a mapplet in a mapping
Advantages of mapplets
Tasks
How to work with command task
How to work with email task
How to work with session task
How to work with decision task
How to work with link task
How to work with timer task
How to work with control task
How to work with event-wait task
How to create reusable tasks
How to create non-reusable tasks
Workflows
How to create parallel workflows
How to create sequential workflows
How to schedule workflows
Worklets
How to create a worklet
How to use a worklet in a workflow
Nesting of worklets
Types of caches
Data Cache
Index Cache
Static Cache
Persistent Cache
Dynamic Cache
Working with functions
Performance Tuning
How to tune source
How to tune target
How to tune transformations
How to tune session
How to tune workflow
Informatica Realtime Scenarios

FOR More Details contact :

Phone/WhatsApp : +91-(850) 012-2107 


Sunday, 22 January 2017

INFORMATICA DATA QUALITY IDQ REALTIME ONLINE TRAINING,MOCK INTERVIEW BY CORPORATE TRAINERS

INFORMATICA DATA QUALITY (IDQ) ONLINE TRAINING BY REALTIME WORKING PROFESSIONALS 8500122107:APEX

FOR FREE DEMO contact us at:
Phone/WhatsApp : +91-(850) 012-2107  
  
IDQ Course Agenda 
(we can customize the course content as per your requirements)

Informatica Analyst 9.1
·         Analyst GUI
·         Metadata and Data access/import
·         Column Profiling
·         Frequency/Patterns/Statistics/Drill downs
·         Rule Profiling
·         Out Of The Box rules
·         Custom rules
·         Reference Tables Management
·         Project Collaboration
·         Data Quality Score carding

Informatica Developer 9.1
·         Developer GUI
·         Developer Profiling including:
·         Mid-stream profiling
·         Join analysis profiling
·         Building Data Quality Mapplets and Rules
·         Data Standardization
·         Cleanse, transform and parse data using DQ transformations such as the Case Converter, Merge, LabellerStandardizer, Parser
·         Address Validation
·         Perform address validation and create AV mapplets and mappings
·         Matching
·         Group data prior to matching to improve matching performance
·         Perform DQ and Identity Matching to identify duplicate records
·         Develop Matching Mapplets
·         Associate and Consolidate matched data
·         Work with the Data Quality Assistant
·         PowerCenter Integration
·         Parameterization
·         Data Quality Workshop

FOR More Details contact us at:


Phone/WhatsApp : +91-(850) 012-2107 

Thursday, 19 January 2017

HADOOP BIGDATA REAL TIME ONLINE TRAINING,MOCK INTERVIEWS BY IT PROFESSIONALS 8500122107

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

FOR More Details contact us at:


Phone/WhatsApp : +91-(850) 012-2107