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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 - .

WHAT IS TERADATA WHY FOR IT IS WHAT FOR IT IS What is Teradata? Teradatav12 &versions Teradata History Teradata users scalability Teradata &other RDBMS Teradata warehouse Teradata in the Enterprise Interview Q&A and Certification queries Real time Issues & resolving TERADATA ARCHITECTURE & IT'S COMPONENTS Node Architecture(Shared Architecture) SMP Architecture MPP Architecture Parsing engine(PE) Architecture AMP Architecture &uses Bynet Benefits &types Parallel data extension(PDE) Teradata directory program(TDP) Call level interface(CLI) Trusted parallel application(TPA) Virtual processors Bynet 0 &Bynet 1 Parallism Architecture RECOVERY &PROTECTION OF DATA What is fall back &where it used Why for fall back What is Clique AMP Clustering Locks & types for simultaneous Access Why for locks &how to release RAID 1 &RAID 5 Journals &types Virtual Disk Array How & where is used journals Q & A about data recovery TERADATA INDEXES Types of indexes in Teradata Hash index Join index Primary index Secondary index Skewness Keys & indexes HOW TO STORAGE & RETRIEVAL OF DATA Hash algorithm Row hash Hash map Hash bucket Receiving VDisc TERADATA SQL QUARRYMAN SQL fundamentals Data types and literals DDL Statements DML Statements Teradata naming conversing TERADATA SQL FUNCTIONS & OPERATIONS String functions Format functions Cast functions Cast functions Group & Aggregation functions Logical operations Arithmetic operations set operations join operations conditional expressions TERADATA JOIN STRATEGIES & UNIONS hash join merge join nested join product join inner join left & right outer join full outer join TERADATA BASIC COMMANDS Help Show Explain Collect statistics TERADATA OBJECTS Types of tables Set tables Multi tables Volatile tables Global temporary tables Derived tables > Views Macros Stored procedures Triggers TERADATA MEMORY SPACES Permanent spaces Temporary spaces Spool spaces Users spaces & PWD TERADATA TRANSACTION MODES Batch mode BTET mode ANSI mode How Converted into others TERADATA PERFORMANCE TUNING ON SQL ASSISTANCE Usage of PMON Explain usage Collecting statistics SQL tuning Various SQL statements Real time Issues & resolving TERADATA UTILITIES & TOOLS (IMPORT & EXPORT) TERADATA BTEQ SCRIPTS Overview of BTeq Looping stages Batches scripts Import &export scripts with Examples Error handling Real time scripts TERADATA FASTLOAD Types of phages & how to find it Advantages & its process Limitations of fast load Real time scripts TERADATA MULTILOAD Overview of Multi load Types of phages in MultiLoad Advantages & its process Limitations of MultiLoad Uses various types of operations Work on Multi tables Real time scripts Sample scripts TERADATA TPUMP Overview of Tpump Limitations of Tpump Work on Multi tables Real time scripts Sample scripts TERADATA FAST EXPORT How to export the data Passing parameters IN/OUT Modes Work on Multi tables Real time scripts Sample scripts Teradata SQL Assistant Teradata performance monitor Teradata Administrator usage Teradata performance tuning on scripts OTHER FEATURES: FAQS Covering DBA concepts Concentration on performance tuning Real time scenarios Certification guidance Resume preparation Sample resumes Interview & certification FAQS How to face the interview Class notes which is useful for who is trying for job Project preparation

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Teradata course Content Foundation •What is Teradata? •Teradatav12 & versions Other versions •Overview OF Teradata •Teradata warehouse •Teradata in the Enterprise •Teradata Users & Scalability •interview Q&A and Certification queries Teradata Architecture and Components •Teradata Architecture •SMP Architecture •MPP Architecture •AMP(Access Module Processing) •TDP(Teradata Directory Program) •CLI(Call Level Interface) •TPA(Trusted Parallel Application) •Parallelism Architecture •Benefits and Types Data Recovery and Security •Why for locks &how to release •Various locks for simultaneous access •RAID 1&RAID 5 •Disk Arrays •Fall Back •Clique •AMP Clustering •Types OF Journals •Recovery Journal •Trasient Journal •Permanent Journal •Before Journal •After Journal •How & where is used journals •Answering various recovery questions Teradata Indexes •Primary Index •Unique •Non unique •Partitioned •Secondary Index •Unique •NonUnique •Hash, Join, Value Ordered •Skewness •Secondary Index Sub table •Accessing Records via Primary Index •Accessing records via Secondary Index •Keys Vs Indexes •Full Real time scenarios and explaining Explicit Transaction •Performance Tuning and Explain Utility •Explain Usage •Collecting Statistics •Tuning SQL Performance •Usage of PMON •Explaining various SQL statements •Joins and Unions •Inner Join •Left Outer Join •Right Outer Join •Full Outer Join •Detailed explanation •Join Strategies •Product Join •Merge Join •Hash Join •Nested Join •Questions of this section Teradata Basic Command •HELP •SHOW •EXPLAIN •COLLECT STATISTICS Teradata Objects •Tables •SET table •Multi Set table •Volatile tables •Global Temporary tables •Derived tables •Views •Macros •Stored Procedures •Triggers •Practices and FAQs of this session Teradata Space •PERM space •SPOOL space •TEMPORARY space •Teradata User and managing •Practical Example Teradata Utilities •Teradata Multi Load •Various Phases of Multi Load •Limitations of Multi Load •Sample Scripts •Teradata Parallel Data Pump •Limitations of TPump •Overview of TPump •Sample Scripts •Teradata Fast Export •Fast Load Contact us for more details ELEGANT IT SERVICES

We Learn DataStage Trainer Datastage training can justify the ideas of DataStage Enterprise Edition, its design and the way to use this to ‘real life’ situations in an exceedingly business case-study during which you may solve business issues. Datastage online training begin by viewing the massive image and discuss why businesses need ETL tools and where Datastage fits within the product set. Once we’ve talked concerning the terribly basic design of DataStage training, using the DataStage clients, you may log onto the DataStage server, produce a Project, import Meta knowledge, and make a DataStage Job. You may then compile and run the duty and appearance at the logs. Once collateral that your Job can run on one node in associate SMP environment, you may then put associated partition the information to be ready to run on multiple nodes at the same time in an MPP, Cluster, or maybe a Grid atmosphere. Name; D,Srinivas Contact us; 9989275111