Informatica Certification Training - Los Angeles, USA

• Introduction to the Informatica tool
• Detailed architecture of Informatica
• Managing and monitoring Informatica workflow
• Handling Jobs and Tasks with PowerCenter
• Deploying Informatica performance tuning
• Various functions and scenarios of ETL
• SQL and XML transformation with Informatica

• ETL and SQL Developers and Business Intelligence Professionals
• Database and Mainframe Professionals and Project Managers

You don’t need any specific skills to learn Informatica. Basic knowledge of SQL can be helpful.

Los Angeles, California, is one of the biggest cities in the United States that is offering very good job opportunities in the domain of Informatica. Informatica is extensively being deployed by top industries in Los Angeles like information technology, banking, finance, manufacturing, high technology and aerospace, among others. Getting the right training in Informatica can help you make the best of this growing jobs market for Informatica in Los Angeles.

The Informatica market in Los Angeles, California, is growing at a rapid pace, thanks to the extensive use of this tool by most of the organizations in Los Angeles. Due to the need to parse big data on an ongoing basis, the importance of Informatica cannot be stressed enough. By learning Informatica you can make the best of this growing market trend in Informatica in Los Angeles.

• Cloud Analytics market to be worth $23.1 billion in the next two years – MarketsandMarkets
• Informatica PowerCenter is the most widely adopted ETL technology – Forrester Research

Informatica is a powerful tool for working on the processes of extract, transform and load on unstructured data. This powerful ETL tool can take data from varied sources in a variety of formats and convert it into a format from which businesses can benefit. Intellipaat is offering a complete training in Informatica that is in line with the industry standards to help you grab the best jobs in the market.

What is data warehousing, understanding the extract, transform and load processes, what is data aggregation, data scrubbing and data cleansing and the importance of Informatica PowerCenter ETL

Configuring the Informatica tool and how to install the Informatica operational administration activities and integration services

Hands-on Exercise: Step-by-step process for the installation of Informatica PowerCenter

Understanding the difference between active and passive transformations and the highlights of each transformation

Learning about expression transformation and connected passive transformation to calculate value on a single row

Hands-on Exercise: Calculate value on a single row using connected passive transformation

Different types of transformations like sorter, sequence generator and filter, the characteristics of each and where they are used

Hands-on Exercise: Transform data using the filter technique, use a sequence generator and use a sorter

Working with joiner transformation to bring data from heterogeneous data sources

Hands-on Exercise: Use joiner transformation to bring data from heterogeneous data sources

Understanding the ranking and union transformation, the characteristics and deployment

Hands-on Exercise: Perform ranking and union transformation

Learn the rank and dense rank functions and the syntax for them

Hands-on Exercise: Perform rank and dense rank functions

Understanding how router transformation works and its key features

Hands-on Exercise: Perform router transformation

Lookup transformation overview and different types of lookup transformations: connected, unconnected, dynamic and static

Hands-on Exercise: Perform lookup transformations: connected, unconnected, dynamic and static

What is SCD, processing in xml, learn how to handle a flat file, list and define various transformations, implement ‘for loop’ in PowerCenter, the concepts of pushdown optimization and partitioning, what is constraint-based loading and what is incremental aggregation

Hands-on Exercise: Load data from a flat file, implement ‘for loop’ in PowerCenter, use pushdown optimization and partitioning, do constraint-based data loading and use incremental aggregation technique to aggregate data

Different types of designers: Mapplet and Worklet, target load plan, loading to multiple targets and linking property

Hands-on Exercise: Create a mapplet and a worklet, plan a target load and load multiple targets

Objectives of performance tuning, defining performance tuning and learning the sequence for tuning

Hands-on Exercise: Do performance tuning by following different techniques

Managing repository, Repository Manager: the client tool, functionalities of previous versions and important tasks in Repository Manager

Hands-on Exercise: Manage tasks in Repository Manager

Understanding and adopting best practices for managing repository

Common tasks in workflow manager, creating dependencies and the scope of workflow monitor

Hands-on Exercise: Create workflow with dependencies of nodes

Define the variable and parameter in Informatica, parameter files and their scope, the parameter of mapping, worklet and session parameters, workflow and service variables and basic development errors

Hands-on Exercise: Define variables and parameters in functions, use the parameter of mapping, use worklet and session parameters and use workflow and service variables

Session and workflow log, using debuggers, error-handling framework in Informatica and failover and high availability in Informatica

Hands-on Exercise: Debug development errors, read workflow logs and use the error-handling framework

Configurations and mechanisms in recovery and checking health of PowerCenter environment

Hands-on Exercise: Configure recovery options and check health of PowerCenter environment

Using commands: infacmd, pmrep and infasetup and processing of a flat file

Hands-on Exercise: Use commands: infacmd, pmrep and infasetup

Fixed length and delimited, expression transformations: sequence numbers and dynamic targeting using transaction control

Hands-on Exercise: Perform expression transformations: sequence numbers and dynamic targeting using transaction control

Dynamic target with the use of transaction control and indirect loading

Hands-on Exercise: Use of transaction control with dynamic target and indirect loading

Importance of Java transformations to extend PowerCenter capabilities, transforming data and active and passive mode

Hands-on Exercise: Use Java transformations to extend PowerCenter capabilities

Understanding the unconnected stored procedure in Informatica and different scenarios of unconnected stored procedure usage

Hands-on Exercise: Use the unconnected stored procedure in Informatica in different scenarios

Using SQL transformation (active and passive)

Hands-on Exercise: Use SQL transformation (active and passive)

Understanding incremental loading and aggregation and comparison between them

Hands-on Exercise: Do incremental loading and aggregation

Working with database constraints using PowerCenter and understanding constraint-based loading and target load order

Hands-on Exercise: Perform constraint-based loading in a given order

Various types of XML transformation in Informatica and configuring a lookup as active

Hands-on Exercise: Perform XML transformation and configure a lookup as active

Understanding what data profiling in Informatica is, its significance in validating content and ensuring quality and structure of data as per business requirements

Hands-on Exercise: Create data profiling in Informatica and validate the content

Understanding workflow as a group of instructions/commands for integration services and learning how to create and delete workflow in Informatica

Hands-on Exercise: Create and delete workflow in Informatica

Understanding the database connection, creating a new database connection in Informatica and understanding various steps involved

Hands-on Exercise: Create a new database connection in Informatica

Working with relational database tables in Informatica, mapping for loading data from flat files to relational database files

Hands-on Exercise: Create mapping for loading data from flat files to relational database files

Understanding how to deploy PowerCenter for seamless LinkedIn connectivity with Informatica PowerCenter

Hands-on Exercise: Deploy PowerCenter for seamless LinkedIn connectivity with Informatica PowerCenter

Connecting Informatica PowerCenter with various data sources like social media channels such as Facebook, Twitter, etc.

Hands-on Exercise: Connect Informatica PowerCenter with various data sources like social media channels such as Facebook, Twitter, etc.

Pushdown optimization for load-balancing on the server for better performance and various types of partitioning for optimizing performance

Hands-on Exercise: Optimize using pushdown technique for load-balancing on the server for better performance and create various types of partitioning for optimizing performance

Understanding session cache, the importance of cache creation, implementing session cache and calculating cache requirement

Hands-on Exercise: Implement cache creation and work with session cache

Project 1: Admin Console

Problem Statement:It includes following actions:

• Creation of users
• Building roles
• Forming groups
• Collaboration of users, roles and groups
• Lock handling
• Creating sessions, workflow and worklets

Project 2: Deploying Informatica ETL for Business Intelligence

Industry:General

Problem Statement: Disparate data needs to be converted into insights using Informatica

Topics: In this Informatica project, you have access to all environments like dev, QA, UAT and production. You will first configure all the repositories in various environments. You will receive the requirement from client through source to target mapping sheet. You will extract data from various source systems and fetch it into staging. From staging, it will go to the operational data store; from there, the data will go to the enterprise data warehouse, and from there it will be directly deployed for generating reports and deriving business insights.

Highlights:

• Access data from multiple sources
• Manage current and historic data with SCD
• Import source and target tables

Project 3: Deploying the ETL Transactions on Healthcare Data

Industry:Healthcare

Problem Statement: How to systematically load data within a hospital scenario so that it is easily available

Topics: In this Clinical Research Data Warehouse (CRDW) Informatica project, you will be working on various types of data coming from diverse sources. The warehouse contains remitted claims that are both approved or disapproved for end-user reporting. You will create CRDW load schedules that are on daily, weekly and monthly bases.

Highlights:

• Extracting data from multiple sources
• Cleansing data and putting in right format
• Loading the data into the CRDW

Case Study 1

Project:Banking Products Augmentation

Industry: Banking

Problem Statement: How to improve the profits of a bank by customizing the products and adding new products based on customer needs

Topics:In this Informatica case study, you will construct a multidimensional model for the bank. You will create a set of diagrams depicting the star-join schemas needed to streamline the products as per customer requirements. You will implement slowly changing dimensions, understand the customer–account relationships and create diagram for the description of the hierarchies. You will also recommend heterogeneous products for the customers of the bank.

Highlights:

• Deploy a star-join schema
• Create demographic mini-dimensions
• Informatica aggregator transformations

Case Study 2

Project:Employee Data Integration

Industry:General

Problem Statement:How to load a table with employee data using Informatica

Topics:In this Informatica case study, you will create a design for a common framework that can be used for loading and updating the employee ID and other details lookup for multiple shared tables. Your design will address the regular loading of shared tables. You will also keep a track of when the regular load runs, when the lookup requests run, prioritization of requests if needed and so on.

Highlights:

• Creating multiple shared tables
• Plug-and-play capability of the framework
• Code and framework reusability