Data data overview introduction

Data Scientist: In this course you will get an introduction to the main tools and ideas which are required for Data Scientist/Business Analyst/Data Analyst. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like R Programming, SAS, MINITAB and EXCEL. Course

DATA STAGE TRAINING IN CHENNAI FOR MNC PROFESSIONALS Peridot Systems is only Data stage training In Chennai delivering the best training for students and also a carrier oriented training . Peridot Systems is a pioneer name in Training, Development, and provides one stop IT professional trainings. We provide trainings in ERP, Java, .net, SQT, SharePoint, Linux, Ms-BI, Cloud computing and all other latest technologies. Peridot Systems aspires to facilitate the creation of a network of IT Training Institutes worldwide to empower the workforce with job oriented skills. Selected Individuals and companies that share the passion and vision of Peridot Systems.  Preferable Timinings  Free Software Installation  One Year Tech Support  Real Time Trainers Data Stage Course Content Data ware housing concepts v About data warehousing v History of data warehousing v Data warehousing architecture v Different Data marts v Advantages of DWH v Properties of DWH v OLTP VS OLAP v DWH Approaches v Data Modeling v Star, Snowflake & Galaxy Schemas v Dimension tables v Fact Tables Data Stage Contents Introduction about Data Stage IBM Information server overview IBM Web sphere Data stage and information Analyzer IBM Web sphere Quality stage Difference between Server Jobs and Parallel Jobs Difference between Pipeline and partitioning Parallelisms Partition techniques (Round Robin, Random, Hash, Entire, Same, Modules, Range, DB2, Auto) Configuration File Difference between SMP, MPP, Cluster architecture Data Stage Components (Server components/Client Components) Package Installer 1.Data Stage Administrator • 2.Data stage director 3.Designer 4.Processing stages For Further Details Please Contact 9790855020 Venue Details: Peridot Systems Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai. Tamil Nadu - 600020.

DATA STAGE TRAINING IN CHENNAI FOR MNC PROFESSIONALS Peridot Systems is only Data stage training In Chennai delivering the best training for students and also a carrier oriented training. Peridot Systems is a pioneer name in Training, Development, and provides one stop IT professional trainings. We provide trainings in ERP, Java,.net, SQT, SharePoint, Linux, Ms-BI, Cloud computing and all other latest technologies. Peridot Systems aspires to facilitate the creation of a network of IT Training Institutes worldwide to empower the workforce with job oriented skills. Selected Individuals and companies that share the passion and vision of Peridot Systems. Preferable Timinings Free Software Installation One Year Tech Support Real Time Trainers Data Stage Course Content Data ware housing concepts v About data warehousing v History of data warehousing v Data warehousing architecture v Different Data marts v Advantages of DWH v Properties of DWH v OLTP VS OLAP v DWH Approaches v Data Modeling v Star, Snowflake & Galaxy Schemas v Dimension tables v Fact Tables Data Stage Contents Introduction about Data Stage IBM Information server overview IBM Web sphere Data stage and information Analyzer IBM Web sphere Quality stage Difference between Server Jobs and Parallel Jobs Difference between Pipeline and partitioning Parallelisms Partition techniques (Round Robin, Random, Hash, Entire, Same, Modules, Range, DB2, Auto) Configuration File Difference between SMP, MPP, Cluster architecture Data Stage Components (Server components/Client Components) Package Installer 1.Data Stage Administrator • 2.Data stage director 3.Designer 4.Processing stages For Further Details Please Contact Venue Details: Peridot Systems Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai. Tamil Nadu - .

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Schedules for PRACTICAL Data Science & Big Data /Data Analytics Online Training Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801 

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Classroom Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 3 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Classroom Demo, please visit Schedules for PRACTICAL Data Science & Big Data /Data Analytics Classroom Training SequelGate Training Institute  Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

course content for oracle data integrator online training and class room training Introduction to Oracle Data Integrator What is Oracle Data Integrator? Why Oracle Data Integrator? Overview of ODI 11g Architecture Overview of ODI 11g Components About Graphical Modules Types of ODI Agents Overview of Oracle Data Integrator Repositories Administrating ODI Repositories and Agents Administrating the ODI Repositories Creating Repository Storage Spaces Creating and Connecting to the Master Repository Creating and Connecting to the Work Repository Managing ODI Agents Creating a Physical Agent Launching a Listener, Scheduler and Web Agent Example of Load Balancing ODI Topology Concepts Overview of ODI Topology About Data Servers and Physical Schemas Defining the Physical Architecture Defining the Logical Architecture Mapping Logical and Physical Resources Defining Agents Defining a Topology Planning the Topology Describing the Physical and Logical Architecture Overview of Topology Navigator Creating Physical Architecture Creating a Data Server Testing a Data Server Connection Creating a Physical Schema Creating Logical Architecture Overview of Logical Architecture and Context Views Linking the Logical and Physical Architecture Setting up a New ODI Project Overview of ODI Projects Creating a New Project Using Folders Organizing Projects and Folders Understanding Knowledge ModulesExchanging ODI Objects Exporting and Importing Objects Using Markers etc..,

Pentaho data integration training in Hyderabad Course Introduction Pentaho Data Integration Overview Inputs and Outputs Introduction to the Training Data

SAP Transport Management Course curriculum 1. SAP TM OVERVIEW (TM90) – 3 HOURS 1.1. The SAP Transportation Management System Overview 1.2. Managing Transportation Execution 1.3. Master Data Requirements for the SAP TM System 1.4. Reporting and Analytics in the SAP TM System 1.5. Integration of SAP Transportation Management with Other Applications ACHIEVE GOALS • Explain the tangible and strategic benefits of an Integrated TM solution • Discuss the implementation of SAP Transportation Management (TM) to • integrate enterprise wide transportation processes with its core business • processes • Outline the transportation business processes provided by SAP TM • Understand SAP TM and how it is used in various transportation scenarios • including manual planning, “one click planning” – for both Inbound and • Outbound transportation 2. PROCESSES IN SAP TRANSPORTATION MANAGEMENT OVERVIEW (TM100) – 25 HOURS 2.1. Introduction to Net Weaver Business Client UI 2.2. Introduction to Network Master Data: 2.2.1. Products and Locations 2.2.2. Transportation Lanes and Resources 2.2.3. Other#. 2.3. Overview of supported Business scenarios: 2.3.1. Outbound and Inbound Shipments (Domestic and Int#l) 2.3.2. Ocean Freight 2.3.3. Air Freight 2.3.4. Freight Forwarding 2.4. Overview of Transportation Planning 2.4.1. Examine concept of Freight Units 2.4.2. Create Transportation Proposals 2.4.3. Generate Freight Orders 2.5. Examination of Transportation Execution 2.5.1. Carrier Selection 2.5.2. Tendering Shipments 2.5.3. Delivery Generation and Integration 2.5.4. Shipment Creation 2.5.5. Generate Documents and Analytics 2.6. Introduction to Freight Settlement 2.6.1. Transportation Charge Management 2.6.2. Calculating Charges 2.6.3. Freight Settlement 2.6.4. Generating Accruals 2.6.5. Cost Distribution ACHIEVE GOALS • This course will prepare the participant to outline the transportation business processes provided by the SAP Transportation Management (TM) system. • This will be accomplished by identifying and examining the SAP TM building blocks necessary for processing shipments of goods. Participants will engage in Transportation network maintenance, order/requirements integration and management, transportation planning, shipment execution, and freight invoicing and settlement. Each participant will have the opportunity to utilize both the SAP ERP and SAP TM systems using the NetWeaver Business Client interface. 3. PLANNING IN TRANSPORTATION MANAGEMENT- PROCESSES AND CUSTOMIZING (TM110) – 25 HOURS 3.1. Creation of Organizational elements related to Transportation Planning 3.2. Designing a transportation network: 3.2.1. Overview of ECC master data 3.2.2. Locations 3.2.3. Transportation Zones and Hierarchies 3.2.4. Means of Transportation and Transportation lanes 3.2.5. Resources and Equipment Types 3.3. Conditions and Incompatibilities to support transportation restrictions 3.4. Creating and Configuration Order Management Scenarios: 3.4.1. Configure ERP Requirement Integration 3.4.2. Configure TM requirement and Planning Document Types 3.4.3. Set up and discuss Sales order Scheduling Scenarios 3.5. Perform Transportation Planning activities Selection and Planning Profiles 3.6. Experiment planning with Transportation cockpit Personalize Transportation Cockpit 3.7. Perform Interactive Transportation Planning scenarios 3.7.1. Modal decisions 3.7.2. Pooled Shipments 3.7.3. Automated Planning (Zero Click) 3.7.4. International Ocean Shipments ACHIEVE GOALS • This course will enable participants to grasp in detail the transportation network Configuration, the ECC integration for both master and transactional data as well as the configuration of different planning scenarios. They will build a transportation network using integration to ECC; Setup integration between ECC and TM to support both inbound and outbound transportation requirements; Setup and execute several different planning scenarios related To road and ocean transportation processes using manual and automated planning capabilities. 4. TM CHARGE MANAGEMENT 4.1. Business purpose and key business requirements 4.2. Architecture of Transportation Charge Management 4.3. Master Data – Scale 4.4. Master Data – Rate Table 4.5. Master Data – Calculation Sheet 4.6. Master Data – Agreement 4.7. Forwarding Settlement Document 4.8. Freight Settlement Document 4.9. Transfer Forwarding and Freight Settlement document to SAP ERP 4.10. Brief overview of Business Analytics in SAP TM8.0 with Business Content Viewer (BCV) and Xcelsius ACHIEVE GOALS • Identify customer requirements for configuring and implementing the transportation • charge management module of SAP TM8.0 • Explain the key master data set up for transportation charge management module of • SAP TM8.0 • Explain and demonstrate how to create settlement documents in SAP TM8.0 and • Transfer to SAP ERP.

Big Data & Hadoop Classroon Developer Training In Bangalore. Introduction Course Objective Summary During this course, you will learn: • Introduction to Big Data and Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • HBASE Concepts • Mongo DB Concepts • Sqoop Concepts • Real Life Use Cases Introduction to Big Data and Hadoop • What is Big Data? • What are the challenges for processing big data? • What technologies support big data? • What is Hadoop? • Why Hadoop? • History of Hadoop • Use Cases of Hadoop • Hadoop eco System • HDFS • Map Reduce • Statistics Understanding the Cluster •Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness • 5 daemons Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • Algorithms for simple problems • Algorithms for complex problems Developing the Map Reduce Application • Data Types • File Formats • Explain the Driver, Mapper and Reducer code • Configuring development environment - Eclipse • Writing Unit Test • Running locally • Running on Cluster • Hands on exercises c • Anatomy of Map Reduce Job run • Job Submission • Job Initialization • Task Assignment • Job Completion • Job Scheduling • Job Failures • Shuffle and sort • Oozie Workflows • Hands on Exercises Map Reduce Types and Formats • MapReduce Types • Input Formats - Input splits & records, text input,binary input, multiple inputs & database input. • Output Formats - text Output, binary output, multiple outputs, lazy output and database output • Hands on Exercises. Map Reduce Features •Counters • Sorting • Joins - Map Side and Reduce Side • Side Data Distribution • MapReduce Combiner • MapReduce Partitioner • MapReduce Distributed Cache • Hands Exercises Hive and PIG • Fundamentals • When to Use PIG and HIVE • Concepts • Hands on Exercises HBASE • CAP Theorem • Hbase Architecture and concepts • Programming and Hands on Exercises Case Studies Discussions Thanks&Regards Softech Solution.

Certification course in Big data and Hadoop. Certification provided by Government of India. Batch Starting Dates: June Batch Size - 25 Students Eligibity: BE/BTECH CS, IT, ES Semester: Course Duration - 40 Hours Timings - 10 AM - 6 PM Fees: Rs /- Benefits: 1. Certification by Skill Development Ministry, Government of India. 2. Free placement assistance for one year. 3. Training by industry experts and live project. Course Outline: > What is Big Data & Why Hadoop? > HDFS (Hadoop Distributed File System) and installing Hadoop on single node. > Advanced HDFS concepts > Cloud computing overview and installing Hadoop on multiple nodes. > Introduction to Map Reduce. > Map Reduce workshop. > Advanced Map Reduce concepts. > Using Pig and Hive for data analysis. > Introduction to HBase, Zookeeper & Sqoop. > Introduction to Oozie, Flume and advanced Hadoop concepts. > Building a web-log analysis POC using MapReduce & project discussion

Syllabus- Course Objective Summary During this course, you will learn: Introduction to Big Data and Hadoop Hadoop ecosystem - Concepts Hadoop Map - reduce concepts and features Developing the map - reduce Applications Pig concepts Hive concepts Oozie workflow concepts HBASE Concepts Real Life Use Cases Introduction to Big Data and Hadoop What is Big Data? What are the challenges for processing big data? What technologies support big data? What is Hadoop? Why Hadoop? History of Hadoop Use Cases of Hadoop Hadoop eco Syst em HDFS Map Reduce Statistics Understanding the Cluster Typical workflow Writing files to HDFS Reading files from HDFS Rack Awareness 5 daemons Let's talk Map Reduce Before Map reduce Map Reduce Overview Word Count Problem Word Count Flow and Solution Map Reduce Flow Algorithms for simple & Complex problems Developing the Map Reduce Application Data Types File Formats Explain the Driver, Mapper and Reducer code Configuring development environment - Eclipse Writing Unit Test Running locally Running on Cluster Hands on exercises How Map - Reduce Works Anatomy of Map Reduce Job run Job Submission Job Initialization Task Assignment Job Completion Job Scheduling Job Failures Shuffle and sort Oozie Workflows Hands on Exercises Map Reduce Types and Formats Map Reduce Types Input Formats - Input splits & records, text input, binary input, multiple inputs & database input Output Formats - text Output, binary output, multiple outputs, lazy output and database output Hands on Exercises Map Reduce Features Counters Sorting Joins - Map Side and Reduce Side Side Data Distribution MapReduce Combiner MapReduce Partitioner MapReduce Distributed Cache Hands Exercises Hive and PIG Fundamentals When to Use PIG and HIVE Concepts Hands on Exercises HBASE CAP Theorem  Introducti on to NOSQL Hbase Architecture and concepts Programming and Hands on Exercises Case Studies Discussions Certification Guidance Fee- INR+100 INR Registration Duration-45 hours(weekdays & weekends) Online training available on request Get trained on latest technology by ZEN industry expert. Technology: Java-SCJP/OCJP/Hibernate/Struts/Sprint etc.NET- VB.Net/C#/ASP.net/ MVC frarmrework etc Big data/Hadoop etc ETL/ data Stage/SQL Oracle// DBA/App / forms & reports etc C,C++ PHP/HTML5/javascript/JQuery/AJAX/AngularJS etc For other course like software testing, java, PHP, web technologies, Mobile application using Android/iOS and phone GAP please visit our office or contact us on given number Zeuristech Enterprise Networks Pvt. Ltd.,-ZEN 2nd Floor, Saikar Complex,Beside Ginger Hotel Bhumkar Chowk -pune- Land Mark- ICICI/AXIS Bank ATM Building

Learn in just One month Big Data Hadoop,Hadoop,Hadoop by Industry experts in Elegant it Introduction to Big Data and Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • HBASE Concepts • Mongo DB Concepts • Sqoop Concepts • Real Life Use Cases Introduction to Big Data and Hadoop • What is Big Data? • What are the challenges for processing big data? • What technologies support big data? • What is Hadoop? • Why Hadoop? • History of Hadoop • Use Cases of Hadoop • Hadoop eco System • HDFS • Map Reduce • Statistics Understanding the Cluster •Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness • 5 daemons Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • Algorithms for simple problems • Algorithms for complex problems Developing the Map Reduce Application • Data Types • File Formats • Explain the Driver, Mapper and Reducer code • Configuring development environment - Eclipse • Writing Unit Test • Running locally • Running on Cluster • Hands on exercises c • Anatomy of Map Reduce Job run • Job Submission • Job Initialization • Task Assignment • Job Completion • Job Scheduling • Job Failures • Shuffle and sort • Oozie Workflows • Hands on Exercises Map Reduce Types and Formats • MapReduce Types • Input Formats - Input splits & records, text input,binary input, multiple inputs & database input. • Output Formats - text Output, binary output, multiple outputs, lazy output and database output • Hands on Exercises. Map Reduce Features •Counters • Sorting • Joins - Map Side and Reduce Side • Side Data Distribution • MapReduce Combiner • MapReduce Partitioner • MapReduce Distributed Cache • Hands Exercises Hive and PIG • Fundamentals • When to Use PIG and HIVE • Concepts • Hands on Exercises HBASE • CAP Theorem • Hbase Architecture and concepts • Programming and Hands on Exercises Case Studies Discussions Thanks&Regards Elegant IT Services, #nd Floor,Aswath Nagar Varthur main road,Near Railway Fly Over Maratha halli,Land mark: Chemmunar Jewellers, Bangalore -

WARM WELCOME FROM VELGRO TECHNOLOGIES!!! We are providing training for DATA WAREHOUSE Training is provided by well experienced (REAL TIME) Faculty!!! Fee structure Course fees: RS./- Data Warehouse The Compelling Need for Data Warehousing • Escalating Need for Strategic Information • Failures of Past Decision-Support Systems • Operational Versus Decision-Support Systems • Datawarehousing—The Only Viable Solution • Datawarehouse Defined • The Datawarehousing Movement • Evolution of Business Intelligence Data Warehouse: The Building Blocks • Review formal definitions of a data warehouse • Discuss the defining features • Distinguish between data warehouses and data marts • Study each component or building block that makes up a data warehouse • Introduce metadata and highlight its significance Trends in Data Warehousing • Data Warehouse Do-Overs • Proliferation of Data Sources • Outsourcing • Hub Versus Relational Databases • Active Data Warehouses • Fusion with CRM • Growing Number of End Users • More Complex Queries • Integrated Customer View • Exploding Data Volumes Planning and Project Management • Phases in project management • Inception • Elaboration • Construction • Transition Defining the Business Requirements • To gain agreement with stakeholders • To provide a foundation to communicate to a technology service provider what the solution needs to do to satisfy the customer’s and business’ needs • To provide input into the next phase for this project • To describe what not how the customer/business needs will be met by the solution Requirements as the driving force for data warehousing • Understand why business requirements are the driving force • Discuss how requirements drive every development phase • Specifically learn how requirements influence data design • Review the impact of requirements on architecture • Note the special considerations for ETL and metadata • Examine how requirements shape information delivery The Architectural Components • Overall Architecture • Data Warehouse Database • Sourcing, Acquisition, Cleanup and Transformation Tools • Meta data • Data Marts • Data Warehouse Administration and Management Infrastructure as the Foundation for Data Warehousing • Understand the distinction between architecture and infrastructure • Find out how the data warehouse infrastructure supports its architecture • Gain an insight into the components of the physical infrastructure • Review hardware and operating systems for the data warehouse • Study parallel processing options as applicable to the data warehouse • Discuss the server options in detail • Learn how to select the DBMS • Review the types of tools needed for the data warehouse • Study the concept and use of data warehouse appliances The Significant Role of Metadata • Find out why metadata is so important • Understand who needs metadata and what types they need • Review metadata types by the three functional areas • Discuss business metadata and technical metadata in detail • Examine all the requirements metadata must satisfy • Understand the challenges for metadata management • Study options for providing metadata Principles of Dimensional Modelling • Clearly understand how the requirements definition determines data design • Introduce dimensional modelling and contrast it with entity-relationship modelling • Review the basics of the STAR schema • Find out what is inside the fact table and inside the dimension tables • Determine the advantages of the STAR schema for data warehouses Dimensional Modelling: Advanced Topics • Discuss and get a good grasp of slowly changing dimensions • Understand large dimensions and how to deal with them • Examine the snowflake schema in detail • Learn about aggregate tables and determine when to use them • Completely survey families of STARS and their application Data Extraction, Transformation, and Loading • Part I: When to build your data warehouse • Part II: Building a new schema • Part III: Location of your data warehouse The Physical Design Process in DWH • Distinguish between physical design and logical design as applicable to the data warehouse • Study the steps in the physical design process in detail • Understand physical design considerations and know the implications • Grasp the role of storage considerations in physical design • Examine indexing techniques for the data warehouse environment • Review and summarize all performance enhancement options • Matching Information to the Classes of Users OLAP in the Data Warehouse • OLAP (Online Analytical Processing) • Overview & Introduction • OLAP Cube • HISTORY of OLAP • OLAP Operations • DATAWAREHOUSE • ARCHITECHTURE Difference between OLAP & • OLTP & TYPES OF OLAP APPLICATIONS OF OLAP • Data Warehousing and the Web • Data Warehouse Deployment • Data Quality: A Key to Success • Data Mining Basics • Growth and Maintenance contact person: SUJITHA Venue Address: #st floor,Gandhi Road, Velachery Email Id:velgrotechnologies at gmail dot com info at velgrotechnologies dot com Website:www dot velgrotechnologies dot com