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Best datastage course provider Navi Mumbai,datastage course details, datastage coaching center Navi Mumbai,datastage course syllabus navi mumbai,datastage courses Navi Mumbai,datastage course training ...

Best datastage course provider Navi Mumbai,datastage course details, datastage coaching center Navi Mumbai,datastage course syllabus navi mumbai,datastage courses Navi Mumbai,datastage course training center Navi Mumbai,datastage courses

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    Datastage training-course-navi-mumbai-datastage-course-provider-navi-mumbai Datastage training-course-navi-mumbai-datastage-course-provider-navi-mumbai Presentation Transcript

    • Vibrant Technologies & Computers datastage COURSE Make Career With Us!! B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Introduction A data stage is basically a tool that is used to design, develop and execute various applications to fill multiple tables in data warehouse or data marts. It is a program for Windows servers that extracts data from databases and change them into data warehouses. It has become an essential part of IBM What is the difference between Compiled and ‘Validated Ok’ in Data Stage? -Validating a job is all about running the job in ‘Check only’ mode. -The checks that will perform are been as follows : - The connections are established to data sources or data warehouse - The SELECT statements are prepared - Intermediate files are opened in Hashed file, UniVerse or ODBC stages
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Datastage has numerous data types, easy metadata management and dedicated OSH to run high data volume jobs in a reduced timeframe. Because of its underlying parallelism feature the ETL transformation which consumes more hardware resources and considerable time frame in other environment will show a remarkable improvement in both resources and time when implemented in DS. The tool provides full integration facilities to the file servers like Linux, UNIX, hadoop and well proven scripting languages like SHELL, PERL etc…Also its provides separate interface for web based java and even chains web service and XML.
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Look at the course content DataStage Architecture DataStage Clients Designer Director Administrator DataStage Workflow Types of DataStage Job Parallel Jobs Server Jobs Job Sequences
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Setting up DataStage Environment DataStage Administrator Properties Defining Environment Variables Importing Table Definitions Creating Parallel Jobs Design a simple Parallel job in Designer Compile your job Run your job in Director View the job log Command Line Interface (dsjob)
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Accessing Sequential Data Sequential File stage Data Set stage Complex Flat File stage Create jobs that read from and write to sequential files Read from multiple files using file patterns Use multiple readers Null handling in Sequential File Stage
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Platform Architecture Describe parallel processing architecture Describe pipeline & partition parallelism List and describe partitioning and collecting algorithms Describe configuration files Explain OSH & ScoreDescribe parallel processing architecture Describe pipeline & partition parallelism List and describe partitioning and collecting algorithms Describe configuration files Explain OSH & Score
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Combining Data Combine data using the Lookup stage Combine data using merge stage Combine data using the Join stage Combine data using the Funnel stage Sorting and Aggregating Data Sort data using in-stage sorts and Sort stage Combine data using Aggregator stage Remove Duplicates stage
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Transforming Data Understand ways DataStage allows you to transform data Create column derivations using userdefined code and system functions Filter records based on business criteria Control data flow based on data conditions Repository Functions Perform a simple Find Perform an Advanced Find Perform an impact analysis Compare the differences between two Table Definitions and Jobs.
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Some interview questions What steps should be taken to improve Datastage jobs? In order to improve performance of Datastage jobs, we have to first establish the baselines. Secondly, we should not use only one flow for performance testing. Thirdly, we should work in increment. Then, we should evaluate data skews. Then we should isolate and solve the problems, one by one. After that, we should distribute the file systems to remove bottlenecks, if any. Also, we should not include RDBMS in start of testing phase. Last but not the least, we should understand and assess the available tuning knobs.
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Differentiate between Join, Merge and Lookup stage? All the three concepts are different from each other in the way they use the memory storage, compare input requirements and how they treat various records. Join and Merge needs less memory as compared to the Lookup stage. Explain Quality stage? Quality stage is also known as Integrity stage. It assists in integrating different types of data from various sources.
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Define Job control? Job control can be best performed by using Job Control Language (JCL). This tool is used to execute multiple jobs simultaneously, without using any kind of loop. Differentiate between Symmetric Multiprocessing and Massive Parallel Processing? n Symmetric Multiprocessing, the hardware resources are shared by processor. The processor has one operating system and it communicates through shared memory. While in Massive Parallel processing, the processor access the hardware resources exclusively.
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in What are the steps required to kill the job in Datastage? To kill the job in Datasatge, we have to kill the respective processing ID. Differentiate between validated and Compiled in the Datastage? In Datastage, validating a job means, executing a job. While validating, the Datastage engine verifies whether all the required properties are provided or not. In other case, while compiling a job, the Datastage engine verifies that whether all the given properties are valid or not.
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Define APT_CONFIG in Datastage? It is the environment variable that is used to identify the *.apt file in Datastage. It is also used to store the node information, disk storage information and scratch information. Define Repository tables in Datastage? In Datastage, the Repository is another name for a data warehouse. It can be centralized as well as distributed.
    • B2/6/2 Vashi ,Navi Mumbai, Contact:09892900103/9892900173 datastagetraining.vibranttechnologies.co.in enquiry@vibrantgroup.co.in datastagetraining.vibranttechnologies.co.in Where to Get More Information Vibrant Group: www.vibrantgroup.co.in Vibrant Technologies & Computers www.vibranttechnologies.co.in/technologies.vibrantgroup.co. in Vibrant HR Team www.hr.vibrangroup.co.in