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Fill dt, Dts. Value If dt. Rows For Each col In dt. Success End Sub End Class Ans: There is no best value, it depends greatly on the design of the database, the number of users, the kind of hardware you are operating one, etc. That is why you need to test for yourself with your system.

When you start management studio and connect to a database, make sure you have the server type set to Integration Services instead of Database Engine. Ans: Between your control flow tasks, click on the arrow and choose Edit. These last two are the same except for the logic. The job takes a data set from a select statement in an oracle db and transfers the result to a table on a SQL Server instance. As of this morning, we receive the following error message: Error: End Error Error: The component returned a failure code when the pipeline engine called PrimeOutput.

The meaning of the failure code is defined by the component, but the error is fatal and the pipeline stopped executing. There may be error messages posted before this with more information about the failure. Does anyone know what a root cause might be? Ans: There may be error messages posted before this with more information about the failure. Did you look for other more specific error messages?

Are you logging errors or steps as they run? If so did you look in the logging table? Advantage of SSIS package over windows scheduled exe? So you may want to run a T-SQL command as step 1, retry if it fails, eventually move to step 2 if step 1 succeeds, or stop the job and send an error if the step 1 condition is never met.

This is really useful for ETL processes where you are trying to monitor another server for some condition before running your ETL. We have regularly scheduled subscriptions for SSRS reports that provide us with data about our jobs. This means I can get an email each morning before I come into the office that tells me if everything is going well or if there are any problems that need to be tackled ASAP.

A common scenario for my ETL is to have several jobs run on a schedule in the morning. Some jobs run in parallel and some run serially. This allows us to roll back to earlier versions of jobs if necessary. So we used a Windows Scheduler task to run the code for a while. After about a month, we figured out what we were missing and were able to move the step back to the SQL Server Agent Job.

Regarding SSIS over exe stored procedure calls. If all you are doing is running stored procedures, then SSIS may not add much for you. Both approaches work, so it really comes down to the differences between what you get from a. If we only had to run one set of processes and they were all stored procedure calls, then SSIS may have been overkill. For my environment, SSIS is the best tool for moving data because we move all kinds of types of data to and from the server.

If you ever expect to move beyond running stored procedures, then it may make sense to adopt SSIS now. You can even parallelize jobs by making a master job start several jobs via msdb. If you are planning to transfer this to someone down the line, then you need to determine what is more maintainable for your environment. If you are building in an environment where your future replacement will be a.

SSIS gives you out-of-the-box logging. Although you can certainly implement logging in code, you probably need to wrap everything in try-catch blocks and figure out some strategy for centralizing logging between executables. SSIS gives you a visual design surface.

I mentioned this before briefly, but it is a point worth expanding upon on its own. SSIS makes it relatively easy to understand the precedence and order of operations in the control flow which is where you would be working if you are using execute sql tasks.

The deployment story for SSIS is pretty decent. We only have to deploy one package at a time. If you are writing a master executable that runs all the ETL, then you probably have to compile the code and deploy it when none of the ETL is running. SSIS packages are modular code containers, so if you have 50 packages on your server and you make a change in one package, then you only have to deploy the one changed package.

Testing changes to an individual package is probably generally easier than testing changes in an application. Meaning, if you change one ETL process in one part of your code, you may have to regression test or unit test your entire application. If you have to deploy all your changes through a release process and there are pre-release testing processes that you must pass, then an executable approach may be easier.

Let me know if you need me to elaborate on any points. Good luck! SSIS, outputting null as a column value within a script task? I think you should set it to true to set the columns value NULL How to create a temporary table in the SSIS control flow task and then use it in the data flow task?

Ans: Set the property RetainSameConnection on the Connection Manager to True so that a temporary table created in one Control Flow task can be retained in another task. What makes you the best candidate for the job? Interviewer might also ask: What made you want to become a data analyst? What brought you here?

How would you describe yourself as a data analyst? What do data analysts do? Go beyond a simple dictionary definition to demonstrate your understanding of the role and its importance. Outline the main tasks of a data analyst: identify, collect, clean, analyze, and interpret. Talk about how these tasks can lead to better business decisions, and be ready to explain the value of data-driven decision making. Interviewer might also ask: What is the process of data analysis? What steps do you take to solve a business problem?

What is your process when you start a new project? How do you overcome challenges, and how do you measure the success of a data project? Do this by discussing your role in the project and what made it so successful. As you prepare your answer, take a look at the original job description. See if you can incorporate some of the skills and requirements listed. If you get asked the negative version of the question least successful or most challenging project , be honest as you focus your answer on lessons learned.

Interviewer might also ask: Walk me through your portfolio. What is your greatest strength as a data analyst? How about your greatest weakness?

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