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COGNOS Course Content Traning at learning hub Magarpatta city /FC Road Pune (+91-93257-93756) www.learninghub.co.in Cognos Course Detail COGNOS Course Content @ Learning Hub INTRODUCTION TO DATAWARE HOUSING (DWH) • Introduction to DWH • Characteristics of DWH • OLTP Vs OLAP Databases • Different Approaches of DWH (Kimball Vs Inmon) • Data mart Vs Data Warehouse • Fact Table Vs Dimension Table • Types Of Facts • Types Of Dimensions • ETL • Staging Area • Concepts of Schemas (Star schema & Snowflake schema) • CLP Modeling • Industry leading ETL and Reporting tools INTRODUCTION TO COGNOS • About Cognos • 3 – Tier Architecture • Cognos Release (EP series7, Reportnet , Cognos 8.0/8.1/8.2/8.3) and their differences • Features of Cognos 8.4 • Cognos Vs other OLAP tools • Cognos components (Modeling & Reporting) COGNOS CONNECTIONS • Personalize Cognos Connection • Create and manage portals, shortcuts, report views..etc • Running the Report Burn • Scheduling Reports • Various Options in Cognos Connection REPORT STUDIO • Report Studio User Interface • Creating, Save and run reports • Managing Reports. • Creating list, Cross Tab etc. • Report templates, formatting Reports – fonts, style, header, footer, boarder…etc • Filters, Parameters and Prompts • Subtotals and Calculations • Working with Queries • Generating and Creating Prompt Page • Types Of Reports • Types of Prompts • Types of Variables • Query Calculations & Layout Calculations • Filters and Dynamic Filters • Conditional Block • Conditional Formatting • Master Details • Cascading Prompt • Operators • Setting Burst Options • Drill through • Setting Variables • Report Functions • Report Validation • Reports Run with Options • Different types of Reports with various functionalities • Unions • Joins • Components and there properties. QUERY STUDIO • Introduction • About Ad-hoc Reports • Types of Report(List, Cross Tab, Chart Reports & Others) • Applying Filters, Prompts & Calculations • Sorting, Grouping, Sections & Aggregate Functions • Run and Manage reports ANALYSIS STUDIO • Insert Data • Nest Data • Replace Data • Sort Data • Explore Data • Change the measure • Drill down for Details • Hide Items • Insert a calculation • Save a custom set • Define a filter • Compare sets of data • Using Dynamic Context FRAMEWORK MANAGER • About Framework Manager • Framework Manager, Metadata Modeling • Creation of Interface and Usage • Creating Model & Namespace (Layers) • Importing Metadata • Naming convention for objects in a project • Creating Query Subjects & Query Items • Merging Query Subjects • Creating Relationships & Setting Cardinalities • Creating Parameter Maps & Macros • Creating of Model Filters, Prompts & Calculations • Add Business Rules and Set Governors • Assigning package level security • Improving performance • Publishing Package Please Contact- Learning Hub, S-12,Destination Centre, 2nd Floor, Above HDFC Bank, Next to Noble Polyclinic, MAGARPATTA CITY, PUNE – 411013, PH: +91- 93257-93756. Skype id : learning.hub01 Email: learninghub01@gmail.com www.learninghub.co.in

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Hadoop for Developers and Administrators Hadoop for Developers and Administrators Syllabus COURSE CONTENT Traning at hadoop school of training Magarpatta city Pune. (+91-93257-93756) www.hadoopschooloftraining.co.in Next level of development and administration Schedule: Day 1:BigData • Why is Big Data important • What is Big Data • Characteristics of Big Data • How did data become so big • Why should you care about Big Data • Use Cases of Big Data Analysis • What are possible options for analyzing big data • Traditional Distributed Systems • Problems with traditional distributed systems • What is Hadoop • History of Hadoop • How does Hadoop solve Big Data problem • Components of Hadoop • What is HDFS • How HDFS works • What is Mapreduce • How Mapreduce works • How Hadoop works as a system Day2: Hadoop ecosystem • Pig • What is Pig • How it works • An example • Hive • What is Hive • How it works • An example • Flume • What is Flume • How it works • An example • Sqoop • What is Sqoop • How it works • An example • Oozie • What is Oozie • How it works • An example • HDFS in detail • Map Reduce in details Day3: Hands On-¬‐ • VMsetup • Setting up Virtual Machine • Installing Hadoop in Pseudo Distributed mode Day 4: Hands On-¬‐ • Programs • Running your first MapReduce Program • Sqoop Hands on • Flume Hands Day 5: • Multinode cluster setup • Setting up a multimode cluster Day 6: • Planning your Hadoop cluster • Considerations for setting up Hadoop Cluster • Hardware considerations • Software considerations • Other considerations Day 7: Disecting the Wordcount Program • Understanding the Driver • Understanding the Mapper • Understanding the Reducer Day 8: • Diving deeper into MapReduce • API • Understanding combiners • Understanding partitioners • Understanding input formats • Understanding output formats • Distributed Cache • Understanding Counters Day 9: • Common Mapreduce patterns • Sorting Serching • Inverted Indexes Day 10: • Common Mapreduce patterns • TF-IDF • Word-Cooccurance Day 11: • Hands on Mapreduce Day 12: • Hands on Mapreduce Day 13: • Introduction to Pig and Hive • Pig program structure and execution process • Joins • Filtering • Group and Co-Group • Schema merging and redefining schema • Pig functions • Motivation and Understanding Hive • Using Hive Command line Interface • Data types and File Formats • Basic DDL operations • Schema Design Day 14: • Hands on Hive and Pig Day 15: • Advanced Hadoop Concepts • Yarn • Hadoop Federation • Authntication in Hadoop • High Availbability Day 16: • Administration Refresher • Setting up hadoop cluster - Considerations • Most important configurations • Installation options Day 17: • Scheduling in Hadoop • FIFO Scheduler • Fair Scheduler Day 18: • Monitoring your Hadoop Cluster • Monitoring tools available • Ganglia • Monitoring best practices Day 19: • Administration Best practices • Hadoop Administration best practices • Tools of the trade Day 20: • Test • Test – 50 questions test (20- Development releated, 20- • Administration related and 10 Hadoop in General Please Contact- Hadoop School of Training Destination Center, Second Floor Magarpatta City Pune: 411013 Phone: India: +91-93257-93756 USA: 001-347-983-8512 www.hadoopschooloftraining.co.in Email: learninghub01@gmail.com Skype: learning.hub01

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