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Manual testing with coplte SQL and UNIX, which includes API and Webservices

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Course offered by Satyajeet Parija

4 reviews

Manual testing includes most ly all testing approaches how a will validate software. These are different approaches/models of testing included with SQL and UNIX. 

This course includes why ETL testing is the need of the time and how a software tester verify the data efficiency w.r.t the transformation. How normal DBs are not helpful in this case and ETL processes being inplemented to support the decission making system and final report generation in a very simple apprach. In data warehouse we can manage the structural and semistructural data and process that by ETL. ODS, DM and Enterprise data warehouses are used mostly to manage the data here.

Note: Any one can opt ETL testing as a carrier with little understanding of SQL, Software testing, any ETL tools etc. Believe me you can do it.I will help you to make it happen. All etl testers can now learn Big data and need to learn how Structural, semistructural and Non Structural data can be managed by ETL and Big Data.If interested please go for a demo so that i can clarify your doubts and you can choose a better carrier.

About the Trainer

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Satyajeet Parija

Masters

13 Years of Experience

• Almost 15 yrs. experienced in Software Testing, specialized in the areas of ETL/DWH/ API Web serviceBig data /Huge file handling in different domains /BI report/data science testing.
• 10+ years experienced in providing trainings, on job support , corporate trainings in both ETL and Hadoop testing.
• Expertise in Hadoop/Bigdata(HDFS, Databricks, Data Factory, Storage and Map reduce concepts), Azure pipelines/activities running, ETL/EDW concepts and architecture, ETL workflows/jobs/sessions, job scheduling/running, API validations, different ETL transformations/testing strategies and Data science testing for better business predictions.
• Hands-on Experience in running ADF pipelines creation and running, running spark sql queries on azure data bricks notebooks, ADL storage Enterprise Data Explorations, rerunning failure pipelines/activities, Tracking the run details with the Audit tables and Datawarehouse’s on Azure SQL DB/DW.
• Expertise in Managing clusters with the correct load and health checks. Knowledge in QA build deployments on the respective clusters and interacting with the Microsoft guys for the cluster issues.
• Expertise in developing/reviewing/executing Test cases as per the FSD, Test case management, Defect logging/tracking/analysis (management) by tools like JIRA, HPQC- 9.0/10.0, HP ALM, RQM and TFS.
• Created test strategy, test plan, data flow chart and column mapping document in different type of testing like Bigdata/ETL testing, load testing, Smoke, Sanity, Functionality, System, Ad-hoc Testing, Database Testing, Retesting and Regression Testing and in understanding of FSD, TSD and BRD etc.
• Expertise in Code deployment, workflow import, promotion control, QA check out, job scheduling, workflow debugging, source and target table validation with lookup tables, running Informatica workflow, RCA, generating test cases, executing test cases, SQL query writing and capturing results, report validation, data validation and data provisioning etc.
• Good knowledge in Agile frame work, sprint planning, scrum overview, played key roles like scrum master with in scrum and ran daily scrum meeting, planning, sprint review, sprint back log and burn down chart’s management, spike, sprint retrospective etc.
• Successfully handled Claims, Billing, Reporting, predictive analysis projects of Banking, Mortgage, Insurance, Restaurant/Travel chain management, Healthcare and Retail domains by playing key role of a Big data/ ETL/BI /Report/Database and Manual tester.
.Also undertake training's for Core java, .NET development, SalesForce development, Bigdata development, ETL development, Selenium web driver automation, API Automation,Pega development,DevOps dvelopment etc...

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