Data Warehousing Training

GREENS TECHNOLOGY in ADYAR offers Data Warehousing Training in Chennai with Job Placement. Data Warehousing Training course designed with Basics through Advanced Concepts. Study Material, Certification and Interview Guidance are provided during the course. All our training sessions are Completely Practical.

We offer highly Job oriented training program in DATA ANALYTICS which also includes the concept of bigdata.100% job assistance provided by us Descriptive Statistics Introduction to the course Descriptive Statistics Probability Distributions Inferential Statistics Inferential Statistics through hypothesis tests Regression & ANOVA Regression ANOVA(Analysis of Variance) Machine Learning: Introduction and Concepts Differentiating algorithmic and model based frameworks Regression : Ordinary Least Squares, Ridge Regression, Lasso Regression, K Nearest Neighbours Regression & Classification Supervised Learning with Regression and Classification techniques -1 Bias-Variance Dichotomy Model Validation Approaches Logistic Regression Linear Discriminant Analysis Quadratic Discriminant Analysis Regression and Classification Trees Support Vector Machines Supervised Learning with Regression and Classification techniques -2 Ensemble Methods: Random Forest Neural Networks Deep learning Unsupervised Learning and Challenges for Big Data Analytics Clustering Associative Rule Mining Challenges for big data anlalytics Prescriptive analytics Creating data for analytics through designed experiments Creating data for analytics through Active learning Creating data for analytics through Reinforcement learning specialized Analytics 1) Social media analytics 2)forcasting 3)political-social analytics 4) business analytics 5)business intelligence 6)big data 7) data visualization

Data Warehousing Concepts Different Definitions of data warehouse Difference between OPERATIONAL DS AND DWH Types of ETL Data Extraction Data Transformation Data Merging Data Loading Types of Data loading Data Aggregation ata warehouse Approaches Top down approach and Bottom up approach DW Life cycle DW-database design Star schema and Snow flake schema

A data warehouse is an integration of data from numerous heterogeneous source which supports analytical reporting, decision making, and ad hoc or structured queries. Thus the process of constructing this data ware and using it for our purpose is called as data warehousing. Cleaning, integration, and consolidation of the data is the major part of Data warehousing. The data warehouse is basically used for decision making with the help of data available in it. There are huge number of technologies that gather data, analyze it and make decisions based on the data present in the data warehouse. Tuning production strategies, operation analysis, and customer analysis are the various domains that uses the information gathered in a data warehouse. There are two approach that the data warehouse uses to integrate various heterogeneous databases and these are Query-driven approach and update-driven approach. There are various tools and utilities of data warehouse and the various functions performed are like data extraction, data cleaning, data transformation, data loading, and refreshing. Thus data warehouse is a collection of consolidated historical data which will help an organization to analyze their business and make strategic decision. The various features of data warehouse is subject-oriented, integrated, time variant, and non-volatile which makes data warehouses useful for various business people. We have applications that uses data warehouse for different purposes and the three types are information processing applications, analytical processing applications, and data mining.

Informatica Learn how to use Informatica Power Center from beginner level to advanced level Informatica Data Quality Learn how to use Informatica Data Quality from beginner level to advanced level DataStage Learn how to use DataStage from beginner level to advanced level OBIEE Learn how to use OBIEE from beginner level to advanced level MSBI Learn how to use MSBI from beginner level to advanced level MicroStrategy Learn how to use MicroStrategy from beginner level to advanced level Cognos Learn how to use Cognos from beginner level to advanced level Cognos TM1 Learn how to use Cognos TM1 from beginner level to advanced level SAS Learn how to use SAS from beginner level to advanced level

Data warehousing Data stage, Informatica, Teradata, Teradata DBA Cognos , CognosTM1, Cognos Planning Business Objects, BODI, OBIEE, OWB MS-BI, AB Initio, Micro Strategy Business Intelligence, Business Analyst, Oracle Data Integrator (ODI)

Software EngineeringSDLC (Software Development Life Cycle) ModelsTesting RequirementsRole of TesterTesting Levels & Techniques: Unit Testing, Integration Testing, Top Down & Bottom Up Approach, System Testing, User Acceptance Testing, White Box, Black BoxTesting Types: Module Testing, Functional Testing, Mutation Testing, Regression Testing, Security Testing, Load/Performance Testing, Smoke Testing, Live Testing, Gorilla Testing Verification & ValidationV ModelTypes of ReviewsQuality Assurance: Quality Standards, ISO 9000 Standards, CMM & TQMQuality Process ImplementationCanon or Cook BookPareto AnalysisTest StrategyTesting MethodologyTest PlansTest ScenarioUse CaseReal Time Test CasesReal Time Bug Report Generation.

Data warehousing has quickly evolved into a unique and popular business application class. Early builders of data warehouses already consider their systems to be key components of their IT strategy and architecture. Numerous examples can be cited of highly successful data warehouses developed and deployed for businesses of all sizes and all types. Hardware and software vendors have quickly developed products and services that specifically target the data warehousing market. This paper will introduce key concepts surrounding the data warehousing systems.

Data warehouse is a system widely used for data analysis and reporting, it is commonly called as enterprise data warehouse. It is a well formed centralized repository of datat that is being integrated from diverse sources. It create analytical report by ananlysing current and historic data on the basis of storage gethered over a considerable period of time.

Data Warehousing Training

Data Stage Training

Data Warehousing Training

we provide you DATA WAREHOUSING training in mumbai.In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis.A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process.

A technology oriented professional Over 8+ years of experience in Data Warehousing DWH - Informatica domain across various projects Worked in different roles like Technical Lead, Team Leader, ETL Tool Consultant and On-site Coordinator in various business verticals like Banking, Telecom, and Insurance across India and Abroad like USA, UK, Canada. Informatica Certified ProfessionalCompleted 50+ classroom batches successfullyCompleted 15+ Online batches successfullyHandled corporate trainings in HP, Hexaware, IMSHealth in Many More Software CompaniesTechnical Support even after course completionSupports Students for Resume Preparation and Interview Preparations

Informatica Training COGNOS Training OBIEE Training DataStage Training DB2 DBA Training.

We are the best Data Warehousing Training in Chennai. Data Warehousing Training provided by industry top most experienced persons. Our Data Warehousing trainers are having more than 10+ years of experience and they share what they learnt in past years.

Data Warehousing Training Course

A technology oriented professional Over 8+ years of experience in Data Warehousing DWH - Informatica domain across various projects Worked in different roles like Technical Lead, Team Leader, ETL Tool Consultant and On-site Coordinator in various business verticals like Banking, Telecom, and Insurance across India and Abroad like USA, UK, Canada. Informatica Certified ProfessionalCompleted 50+ classroom batches successfullyCompleted 15+ Online batches successfullyHandled corporate trainings in HP, Hexaware, IMSHealth in Many More Software CompaniesTechnical Support even after course completionSupports Students for Resume Preparation and Interview Preparations

Data Structure Training

Design, Development and Testing of Canned and Adhoc Reports Static and Drill through Reports Enterprise Reporting, KPIs Dashboard/Scorecard Applications Expertise in SSRS ,IBM Cognos ,SiSense Prism ,Oracle APEX and OBIEE suite

Texsas is one of the elite and professional training institutes to provide Data Warehousing Training in Chennai (covering Informatica, Cognos, OBI EE, Data Stage, Tera Data) with real time exposure to business scenarios and application of data. The knowledge intensive course curriculum provides tremendous insights on fundamentals and grows more in-depth as the student progresses. Our practical oriented training helps students gain hands-on experience in data integration platform, Informatica best practices, troubleshooting techniques, use of technical support options session logs etc.,

Data Structure Training

We are offering Data Warehousing Concept Training Services to our clients. This Curriculum is designed for candidates who is working/knowing on ETL tools but having limited Approach Data warehousing Concepts. Features: RDBMSUnderstanding the terminologyWhat is databaseRDBMSPrimary Key, Foreign Key, Index, Entity, Attributes RulesER ModelingRelationships Logical Model Physical ModelSQLWhat is SQLData typesBasic SELECT statementDML statementsDDL statementsTransaction Control statementsDCL statementsDatabase ObjectsTablesViews\Constraints (PK, Index, FK, Not Null etc.)Using Operators and FunctionsGroup FunctionsLogical, Boolean, Arithmetic OperatorsUnderstanding the Null PL/SQLWhat Is PL/SQLDifference between SQL and PL/SQLBenefits of PL/SQLUsing SQL in PL/SQLComponents of PL/SQLVariables and ParametersControl Structures (Ifthenelse, etc )BlocksCursorsProcedureFunctionsTriggersData warehousingData Warehousing ConceptsTerminologyExplore : Data >> Information >> KnowledgeHistory and Need/Application of DWHUnderstanding the definition of Data WarehousingExploring DWH term above its DefinitionDWH ArchitectureElements of DWHDWH approach (TopDown, BottomUp)DWH Layers (Source Layer, Extraction Layer, Staging Layer, etc )DWH Vs Data MartOLTP Vs OLAPDimension ModelingUnderstanding terms: Measures, Surrogate Key, Dimensions, Facts, Hierarchy Levels, CubeTypes of MeasuresTypes of Fact Tables (Aggregate, Fact less, etc...)Types of Dimension (Conformed, Degenerated, Junk, etc )Types of SCDsCharacteristics of SCD Type1, Type2, Type3Types of Schemas (Star, Snowflake, etc...)OLAP/MOLAPIntroduction to BI ConceptsTerminologyRole of DWH in BIApplication of BICube and DimensionsSlicing and DicingWhat are OLAP tools? Download Attached PDF Below:

Lycra

We are the best Data Warehousing Trainers in Chennai. Data Warehousing Training has been provided by industry-topmost experienced persons. Our Data Warehousing trainers are having more than 10+ years of experience and they share what they learnt in past years.

Data Warehousing & Mining Course Training Services

Data Structure Training

This instructor-led course provides the basic skills and knowledge towards Datawarehousing concepts. All basic concepts related to Datawarehousing is covered in this course