Best Institutes for Informatica Data Quality training in Kolkata with Course Fees

List of 7+ Informatica Data Quality training institutes located near to you in Kolkata as on January 19, 2020. Get access to training curriculum, placement training, course fees, contact phone numbers and students reviews.

Nimble Tech

Kolkata - Salt Lake City

(1 review)

Address: NP-483,Nayapatti Near Technopolis Salt Lake City Kolkata-700102

Nimble Tech was founded in September in the year 2013 by a group of Software Professionals. These professionals are from top and renowned multinational companies.

eTechGuys

Kolkata - Sech Bhavan

(16 reviews)

Address: Bd-80 , Salt Lake, Sector-1, Sech Bhavan, Kolkata-700064

eTechGuys incorporated in 2011 is a leading training provider and started as an industry driven state-of-the-art training institute of excellence in IT/ ITes field, specializing in Software training .

Professional Trainings

Kolkata - Dumdum

(1 review)

sap champion institute

Kolkata - Sector 1

(2 reviews)

Address: C-4, 2nd Floor, Main Market, Malviya Nagar, Delhi-110017

Proweb Dezine

Kolkata - Sector 5

(2 reviews)

Address: EN-26, Amrit Tower, 1st floor, Salt Lake City, Sector-v,Kolkata

SPECK Institute of Learning

Kolkata - Jodhpur Park

(6 reviews)

Address: 1/22, Poddar Nagar, 2nd Floor, Jodhpur Park, Kolkata-700068

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Informatica Data Quality Training Institutes in Kolkata - by Location

Yet5.com Provides complete list of best Informatica Data Quality training institutes in Kolkata and training centers with contact address, phone number, training reviews, course fees, job placement, course content, special offers and trainer profile information by area.

Learning Informatica Data Quality course in Kolkata - Benefits, Advantages & Placements.

We have identified the benefits of learning informatica-data-quality course in Kolkata.
Informatica Data Quality training in Kolkata is part of Informatica training course class, Informatica is a software development company found in the year 1993. It uses Service Oriented Architecture and thus it can share its resources and services across many machines. The products of informatica are data integration: extract, transform, load, information lifecycle management, business-to-business data exchange, cloud computing integration, complex event processing, data masking, data quality, data replication, data virtualization, master data management, ultra-messaging. Thus Data Quality is one of the portfolio product of the Informatica.
Data Quality is generally a set of values of qualitative or quantitative variables. A data I generally said to be in high quality only when the quality of the data is high and it can be used in operations, decision making and planning. The Degree of excellence exhibited by the data in relation to the portrayal of the actual scenario is known as data Quality. The data quality is also a state of completeness, validity, consistency, timeliness and accuracy that makes data appropriate for a specific use. This data quality research generally undergoes investigations, description of various attributes of data. The attributes involve accuracy, correctness, currency, completeness and relevance.
There are certain tools that are used for increasing the quality of the data. They are Data profiling – which is an initial assessing of the data to understand the quality challenges, Data standardization – is a business rules engine which ensures that the data conforms to quality rules, Geocoding – is used for name and address data, Matching or Linking - is a way to compare data so that records can be aligned and this matching may use "fuzzy logic" to find duplicates in the data, Monitoring – used to keep track of data quality over time and reports the variations in the quality of data and can also auto-correct the variations based on pre-defined business rules, Batch and Real time - Once the data is initially cleansed (batch), companies often want to build the processes into enterprise applications to keep it clean.

Kolkata is known for its grand colonial architecture, art galleries and cultural festivals and is the capital of West Bengal. Being the second largest city in India after Bombay, Kolkata is the main business, commercial and financial hub of eastern India. Kolkata creates an enormous number of employments and supports many migrants from neighbouring states and other parts of the country. Kolkata outshines other cities when it comes to education and has the prestige of holding Indias top Schools, Training Institutes, Colleges and Universities and hence holds the literacy rate of 86.31%. Kolkata holds 3 major universities which include Calcutta University, Jadavpur University and Rabindra Bharati University and houses 9 medical colleges. Students can surely find a job in Kolkata due to its exclusive education and training systems.
You have travel connectivity to informatica-data-quality course educational training institutes in Kolkata. The mode of public transport is provided by the Kolkata Suburban Railway, the Kolkata Metro, trams, rickshaws, and buses. The suburban rail network reaches the citys distant suburbs. Howrah and Sealdah are the two major railway stations in Kolkata. Netaji Subhash Chandra Bose International Airport is located in Kolkata for travelling to different states. Also, the frequent bus, cab, auto and tram facilities can take one to different parts of Kolkata comfortably.

Informatica Data Quality course Content / syllabus in kolkata

Below is the Informatica Data Quality course content in kolkata used by the training institutes as part of the Informatica Data Quality course training. The Informatica Data Quality course syllabus covers basic to advanced level course contents which is used by most of Informatica Data Quality training classes in kolkata .

I.Introduction
1.GUI, Mappings, Mapplets, Transformations, Content Sets, Data Objects
II.Analyst Collaboration
1.Reviewing information from the Analyst
2.Comments/Tags
3.Creating/adding to Reference tables
III.Developer Profiling
1.Join Analysis Profiling
2.Column Profiling
3.Multi Object Profiling
4.Mappings and transformations
5.Mid-stream profiling
6.Comparative profiling
IV.Data Standardization
1.Cleanse, transform and parse data
2.Develop data standardization mapplets and mappings
V.Matching
1.Grouping data
2.Analyze Detail Report
3.DQ Matching
4.Cluster Analysis Report
5.Matching Mapplets
VI.Identity Matching
1.Build Matching mappings using Identity matching
2.Identity Populations and Strategies
VII.Consolidation
1.Associate and Consolidate data
VIII.Data Quality Assistant
1.Build Mappings to create and populate the DQA tables
2.Perform manual Consolidation and Bad Record Management
IX.PowerCenter Integration
1.Run DQ Mappings in PowerCenter
X.Object Import/Export
1.Import Projects using both Basic and Advanced methods
2.Export Projects
XI.Parameters
1.How to use Parameters in Data Quality mappings, transformations and reference tables
XII.Workflows
1.How to create different objects in DQ workflows modules. Examples: mapping task, Notification Task, Human Task etc.