Sunday, 8 September 2019

MuleSoft online training from apex #hyderabad-apex



MuleSoft

MULE ESB Training curriculum is framed to share basic knowledge on Anypoint Studio Integration, Testing and debugging Mule applications, Deploying and running applications on CloudHub and Mule ESB along with JMS, JDBC, Web Services, HTTP, and more. Enroll for MuleSoft Course at Ibase, become MuleSoft Certified Developer.

FOR FREE DEMO contact :
Phone/WhatsApp : +91-(810) 672-1223
USA Number : 650-993-1007

Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided

Mule ESB COURSE OUTLINE
(the course content can be modified as per your requirements):

Introduction to ESB
  • Course Agenda
  • Mulesoft overview?
  • What is Orchestration and Introduction to Anypoint Platform

Mule Basics
  • Understanding how mule flow works flow internally
  • Mule Events and processor
  • Loggers in Mulesoft
  • Debug Mule applications
  • Read and write message payloads, properties, and variables using the Mule Expression Language
  • Structure Mule applications using flows, subflows, in-memorymessage queues, properties files, and configuration files
  • Create and reference flows and subflows
  • Encapsulate global elements in a separate configuration file
  • Explore the files and folder structure of a Mule project

Introducing API-led connectivity and application networks
  • System Layer
  • Process Layer
  • Experience Layer
  • Role of Mulesoft in API-Led Connectivity

Designing API’s
  • Define an API with RAML, the Restful API Modeling Language
  • Mock an API to test its design before it is built
  • Create a portal for developers to learn how to use an API
  • Make an API discoverable by adding it to the private Exchange

Standalone Deployments
  • StandAlone deployment
  • Introducing API-led connectivity and application networks
  • Understanding Web Services
  • Calling RESTful web services
  • Building Successful APIs

Consuming REST and SOAP Webservices
  • Consuming Restful services
  • RAML Basics
  • Consuming Restful Webservice with RAML Definition
  • Consuming SOAP Webservice using Webservice Consumer

Using Database Endpoint,
  • Using Database end point
  • Integrate with DB2 Database
  • Integrate with Oracle Database

Integration with CRM Applications
  • Using salsforce end point
  • Integrate with salesforce system

Externalizing properties and Domains
  • Externalizing configuration and migrating between environments
  • Sharing Configuration among multiple applications using domains

Using File End point and JMS endpoint
  • Using File Endpoint
  • Using JMS endpoint

Implementing Splitter Aggregator Pattern and Tuning Performance
Transformers
  • DataWeave Basics
  • Complex transformations using dataweave
  • Writing DataWeave Transformations

Handling Exceptions in mule
  • Describe the different types of exception strategies
  • Handle messaging exceptions in flows
  • Create and use global exception handlers
  • Specify a global default exception strategy

Testing Mule flows using JUNIT and MUNIT
  • Starting Mule from Java Code
  • Functional Testing of flows using JUNIT
  • Testing using MUNIT

Filters and Entrypoint resolvers
  • Using Filters
  • Expression Filters

Hands on Training with real time scenarios
Real Time Projects for practice
Mulesoft Course Material
Mulesoft Interview Questions.

POWER BI ONLINE TRAINING #APEX FROM INDIA



Thanks,
Raavi Raja
APEX | Office#403, PSR Prime Towers | Gachibowli | Hyderabad
India(M): +91-8500-122-107 ,(whats app)
| USA(L):+1 (214)-628-3894

Go Green Save Earth Save water

 POWER BI Training Course content
------------PowerBI Desktop---------------
Introduction to Power BI Desktop
Different data sources (excel,csv,Sql server,ssas,web)
Data types and Categories
Direct Query And Import and Live connection
Parameters in power BI
Caliculate Column Vs Calculated Measures
All Transformation Options in EDIT Query Window
How to create Customer Function
How to Invoke Custome Function
Templates in power BI
Synanoyms in Power BI
Hierarchies in Power BI
import Excel workbook content
Modeling and Filters in PowerBI
MERGING AND APPENDING QURIES
cross filter direction in modeling
Bins and list in Grouping
Theams in powerbi
Custome visualls
Filters(Visual Level,Report Level ,Page Level,Drill through) in PowerBI Desktop
Scatter chart by using play axis option
word cloud
slicer
Archimaps enablement in powerBI Desktop and service
Power BI publisher for Excel
Quick measures
Publish reports to PowerBI Online
------------------PowerBI Service(Online)---------------------
Introduction to Power BI Service
How to create Dashboards
Delivery Methods Of Dashboard
How to create power BI Apps
Data Gateways and schedule refresh
Row Level Security
Row Level Security in Power BI Desktop
Row level security in Power BI Service
Row level security in power BI dynamic
Power BI Reporting Services
Q&A Natural Language Processing option in Power BI
Quick Insights
Dashboards and Pins - Real-time Usage
Dynamic Data Sources and Encryptions
Personal and Organizational Content Packs
Gateways, Subscriptions, Mobile Reports
Data Refresh with Power BI Architecture
PBIX and PBIT Files with Power BI - Usage
Visual Data Imprts and Visual Schemas
Cloud and On-Premise Data Sources
Relation between Dashbaords to Reports
Relation between Datasets to Reports
Relation between Datasets to Dashboards
Page to Report - Mapping Options
Publish Options and Data Import Options
Need for PINS @ Visuals and PINS @ Reports
-----------------PowerBI DAX expressions------------------
Purpose of Data Analysis Expresssions (DAX)
Scope of Usage with DAX. Usabilty Options
DAX Context : Row Context and Filter Context
DAX Entities : Calculated Columns and Measures
DAX Data Types : Numeric, Boolean, Variant, Currency
Date time Data Tye with DAX. Comparison with Excel
DAX Operators & Symbols. Usage. Operator Priority
Parenthesis, Comparison, Arthmetic, Text, Logic
DAX Functions and Types: Table Valued Functions
Filter, Aggregation and Time Intelligence Functions
Information Functions, Logical, Parent-Child Functions
Statistical and Text Functions. Formulas and Queries
Syntax Requirements with DAX. Differences with Excel
Naming Conventions and DAX Format Representation
Working with Special Characters in Table Names
Attribute / Column Scope with DAX - Examples
Measure / Column Scope with DAX - Examples
YTD, QTD, MTD Calculations with DAX
DAX Calculations and Measures
Using TOPN, RANKX, RANK.EQ
Computations using STDEV & VAR
SAMPLE Function, COUNTALL, ISERROR
ISTEXT, DATEFORMAT, TIMEFORMAT
Time Intelligence Functions with DAX
Data Analysis Expressions and Functions
DATESYTD, DATESQTD, DATESMTD
ENDOFYEAR, ENDOFQUARTER, ENDOFMONTH
FIRSTDATE, LASTDATE, DATESBETWEEN
CLOSINGBALANCEYEAR, CLOSINGBALANCEQTR
SAMEPERIOD and PREVIOUSMONTH, QUARTER
KPIs with DAX. Vertipaq Queries in DAX
IF..ELSEIF.. Conditions with DAX
Slicing and Dicing Options with Columns, Measures
DAX for Query Extraction, Data Mashup Operations
Calculated Columns and Calculated Measures with DAX
--------------------------------------------------------------
Power BI Reporting Services with SSRS
R language integration with Power BI
M language in Power BI Desktop

IDQ ONLINE TRAINING @APEX FROM HYDERABAD #INDIA






Thanks,
Raavi Raja
APEX | Office#403, PSR Prime Towers | Gachibowli | Hyderabad
India(M): +91-8500-122-107 ,(whats app)
| USA(L):+1 (214)-628-3894

Go Green Save Earth Save water 

                                                            CONTENT OF IDQ
An Overview of Informatica Developer Tool
Overview of Data Quality and Informatica Developer covering areas such as the GUI, Mappings, Mapplets,Transformations, Content Sets, Data Objects and Tips forworking with Developer.

Analyst Collaboration
-  Review Information from the Analyst
-  Profiles/Comments/Tags
-  Create/Add to Reference Tables
-  Shared projects and team collaboration means no loss of information or duplication of work across projects

Developer Profiling
-  Perform Join Analysis Profiling
-  Perform Column Profiling
-  Multi Object Profiling
-  Build and execute a Mapping using core transformations
-  Configure Transformation Properties
Scorecard 
Business trend analysis by using chart 
Data quality Transformations
General Transformations

Data Standardization
-  Develop data standardization mapplets and mappings
-  Cleanse, transform and parse data
-  Data Quality cleansing and parsing transformations

Address Validation
-  Configuring a Reusable AV Transformation
-  AV Transformation Properties
-  AV Inputs and Ouputs
-  Define a Reusable AV Mapplet
-  Build and address validation mapping to incorporate your mapplet Matching
-  Grouping Data
-  Key Generator Transformation
-  Key Gen Methods and Properties
-  Analyze Detail Report
-  DQ Matching
-  Perform matching using the Match Transformation
-  Match Properties
-  Matching Algorithms
-  Cluster Analysis Report
-  Create and update matching Mapplets
-  Additional Matching Transformations

Identity Matching
-  Build matching mappings using Identity Matching
-  Identity Populations and Strategies

Automatic Consolidation
-  Automatically associate and consolidate your match data using a variety of association and consolidation 
-  Transformations and techniques

Manual Consolidation Using the Data Quality Assistant
-  Build mappings to create and populate the DQA tables using the new Exception Transformation
-  Perform Manual consolidation and bad record management using the DQA Exceptions Handling mechanism
Match and Merge mechanism
Data Consolidation Mechanism
Tasks
PowerCenter Integration
-  Execute Data Quality mappings/mapplets in PowerCenter

Deployment Process
-  Learn how to export and import projects using both basic and advanced methods

DQ for Excel
-  Run Data Quality mappings on Excel spreadsheets

Parameters
-How to use parameters in Data Quality mappings, transformations and reference tables

Content
-  What content is available with IDQ9?
-  Content Management Service - How to configure AV information - What are Accelerators?
-  What comes with the Core Accelerator?
LAB Exercises
Use Cases           

                                                                          THANQ

IDQ ONLINE TRAINING @APEX FROM HYDERABAD


                                                            

FREE ONLINE DEMO 


Raavi Raja
APEX | Office#403, PSR Prime Towers | Gachibowli | Hyderabad
India(M): +91-8500-122-107 ,(whats app)
| USA(L):+1 (214)-628-3894

Go Green Save Earth Save water 



CONTENT OF IDQ
An Overview of Informatica Developer Tool
Overview of Data Quality and Informatica Developer covering areas such as the GUI, Mappings, Mapplets,Transformations, Content Sets, Data Objects and Tips forworking with Developer.

Analyst Collaboration
-  Review Information from the Analyst
-  Profiles/Comments/Tags
-  Create/Add to Reference Tables
-  Shared projects and team collaboration means no loss of information or duplication of work across projects

Developer Profiling
-  Perform Join Analysis Profiling
-  Perform Column Profiling
-  Multi Object Profiling
-  Build and execute a Mapping using core transformations
-  Configure Transformation Properties
Scorecard 
Business trend analysis by using chart 
Data quality Transformations
General Transformations

Data Standardization
-  Develop data standardization mapplets and mappings
-  Cleanse, transform and parse data
-  Data Quality cleansing and parsing transformations

Address Validation
-  Configuring a Reusable AV Transformation
-  AV Transformation Properties
-  AV Inputs and Ouputs
-  Define a Reusable AV Mapplet
-  Build and address validation mapping to incorporate your mapplet Matching
-  Grouping Data
-  Key Generator Transformation
-  Key Gen Methods and Properties
-  Analyze Detail Report
-  DQ Matching
-  Perform matching using the Match Transformation
-  Match Properties
-  Matching Algorithms
-  Cluster Analysis Report
-  Create and update matching Mapplets
-  Additional Matching Transformations

Identity Matching
-  Build matching mappings using Identity Matching
-  Identity Populations and Strategies

Automatic Consolidation
-  Automatically associate and consolidate your match data using a variety of association and consolidation 
-  Transformations and techniques

Manual Consolidation Using the Data Quality Assistant
-  Build mappings to create and populate the DQA tables using the new Exception Transformation
-  Perform Manual consolidation and bad record management using the DQA Exceptions Handling mechanism
Match and Merge mechanism
Data Consolidation Mechanism
Tasks
PowerCenter Integration
-  Execute Data Quality mappings/mapplets in PowerCenter

Deployment Process
-  Learn how to export and import projects using both basic and advanced methods

DQ for Excel
-  Run Data Quality mappings on Excel spreadsheets

Parameters
-How to use parameters in Data Quality mappings, transformations and reference tables

Content
-  What content is available with IDQ9?
-  Content Management Service - How to configure AV information - What are Accelerators?
-  What comes with the Core Accelerator?
LAB Exercises
Use Cases           

                                                                          THANQ