Category Archives: 5 tricky databases

Top 5 Interview Tips for Junior DBA Position

Top 5 Interview Tips for Junior DBA Position

Are you thinking of becoming a Junior DBA also known as a database administrator? Like many other professions, getting your first job as a Junior DBA is not at all easy. You can check out on the Internet for open positions related to this job profile. You would come to know that even if it is a junior position, a relevant experience of a few years in SQL is asked for by most of them.

It is a fact that a majority of SQL DBA’s begin their career path in an alternative field, which means that they have accidentally become DBA’s. Therefore, such people have to gain the required experience in their current role at job, so that they can work as a Junior DBA.

If one is really wishing to begin the career as a SQL DBA, or switch from their current position to this one, this fact would prove to be a heart breaking one. It would make you feel like a no win situation.

Well, there is no need to worry as SQL experience is not the only skill that is needed. Most of those who are the accidental ones, are often the self study types. Even if they appear to be more experienced than you, they have gained the SQL knowledge by the harder path. Therefore, an experienced DBA can easily to knowledge transfer to a fresher. This was all about the general picture today, as far as DBA is concerned.

Now, lets’ move on to the top interview tips for the position of Junior DBA’s:

1. Why do you wish to become a DBA?

Employers usually search for candidates, who know why they need to be a Database Administrator. There is no such thing as a perfect answer here yet you should have the capacity to show to the interviewer that your reasons are clear and have been thoroughly thought about.

2. Are you aware about the core responsibility of a Junior DBA?

This question is a must ask for the recruiters. If you are not yet aware, then do read it right now! This position is that of a DBA Prime Directive. As a data professional, your output is built on further.

3. Can You Debug and Solve Problems?

At the heart of being an excellent Database Administrator is a capacity and a drive to issue resolving. You should have the capacity to viably show your enthusiasm for issue resolving. Problem solving is not by any stretch of the imagination an aptitude that you can instruct however it can positively be enhanced and improved through practice.

You should have the capacity to show a decent level of problem solving to the employer.

Be set up for your interview whether it be up close and personal or via phone, with an entire host of examples that exhibit your capacity and flair to debug problems.

4. Have You Set Your Goals?

Make sure that you can give details of both your short (inside the following year) and long term (next five years) goals. This may interface into your Professional Development planning yet you may likewise wish to incorporate points of interest of your life goals. Again there is no set in answer here, as the goal is to exhibit that you are ground breaking and aggressive yet in the event that you need to quit fooling around about your objectives then you will need to ensure that they are SMART objectives.

5. Are You Aware about Database Backups?

In a perfect world you ought to get to grasps with the fundamentals of SQL Server backups, however as an exceptionally least you should know why they are essential and why they are vital.

These are some of the top and important tips for those aspirants who aspire to be in the position of a junior DBA in their career.

Don't be shellfish...Digg thisBuffer this pageEmail this to someoneShare on FacebookShare on Google+Pin on PinterestShare on StumbleUponShare on LinkedInTweet about this on TwitterPrint this pageShare on RedditShare on Tumblr

7 Few Datawarehousing Questions

7 Few Datawarehousing Questions

This post efforts to describe the standard ideas of information warehousing in the form of common information warehousing meeting concerns along with their standard solutions. After reading this content, you should gain great deal expertise on various ideas of information warehousing.

Let us begin with the most easiest concerns first, we will progressively move towards more complicated ideas later.

What is information warehouse?

A information factory is a electronic storage of an Company’s traditional information for the goal of Data Statistics, such as confirming, research and other information finding activities.

Other than Data Statistics, a information factory can also be used for the goal of information incorporation, expert information control etc.

According to Bill Inmon, a datawarehouse should be subject-oriented, non-volatile, incorporated and time-variant.

What was created by Data Analytics?

Data analytics (DA) is the science of analyzing raw information with the goal of illustrating results about that information. A information factory is often designed to enable Data Analytics

What are the benefits of information warehouse?

A information factory enables you to incorporate information (see Data integration) and store them traditionally so that we can evaluate different factors of company such as, performance research, design, forecast etc. over a given period of efforts and use the result of our research to improve the performance of company procedures.

Why Data Warehouse is used?

For many years in the past and also even nowadays, Data manufacturing facilities are designed to accomplish confirming on different key company procedures of a company, known as KPI. Today we often call this whole process of confirming information from information manufacturing facilities as “Data Analytics”. Data manufacturing facilities also help to incorporate information from different resources and show a single-point-of-truth principles about the company actions (e.g. allowing Master Data Management).

Data factory can be further used for information exploration which will help design forecast, predictions, design identification etc. Check this content to know more about information mining

What is the difference between OLTP and OLAP?

OLTP is the deal program that gathers company information. Whereas OLAP is the confirming and research program on that information.

OLTP techniques are enhanced for INSERT, UPDATE functions and therefore highly stabilized. On the other hand, OLAP techniques are purposely denormalized for fast information recovery through SELECT functions. You can join our institute of dba to make your profession in this field

Don't be shellfish...Digg thisBuffer this pageEmail this to someoneShare on FacebookShare on Google+Pin on PinterestShare on StumbleUponShare on LinkedInTweet about this on TwitterPrint this pageShare on RedditShare on Tumblr

10 Strengthen Your Database by Our Remote DBA

10 Strengthen Your Database by Our Remote DBA

Databases are very important for companies today. There is not a individual company that can perform excellently without a strong information source in today’s world. This is because the facts that is saved in these platforms is very useful for decision making purposes. It is difficult for making decisions without the necessary information. This is why you should store as many information as possible. You are intending for making excellent returns from this endeavor.

Sadly, designing a knowledge source is not easy either. There is a need to get in contact with information source experts who will help to set up the system for you. The process of creating a knowledge source will involve storage space, incorporation of data and control of this information. Storage has been a massive problem for many organizations for a long time. However, now with cloud storage space it should not be hard at all. You can get huge space facilities to store your information easily. Therefore this should not be a cause for worry.

The biggest challenges in issues of data come from incorporation and control. Developing information from different resources is a task on its own. The compatibility of those resources is one of the factors that must be considered when integrating your business’ information. There is also the issue of data control.

Remote information source management services

Thanks to internet technology, it is possible to accessibility really reliable information source management solutions easily. There is always the option of hiring a knowledge source manager (DBA) for your company. However, this might be such a costly affair for you. You will not be able to keep them as busy as you would like them to be but you will still be paying them like other employees and giving them vacations like every other employee.

Tips for strengthening your database

You can strengthen your information source so that you increase the size of your contributor platform. Once you have the facts source administrators you can then proceed to do the following:

1. Standardize the facts accessibility procedures

This will help you to learn more quickly, create alterations with more ease, reduce confusion and also eliminate the risk of offending your contributors and volunteers.

2. Authorize specific individuals do information entry

You do not want everyone entering information into your platform. Minimize the number of data accessibility employees. Those that you have selected should undergo serious training in information accessibility.

3. Evaluation information periodically

It is important to take a look at business’ information regularly. Therefore, you should schedule a knowledge review moment. It will help a lot in order to keep your company performing well.

4. Set up a backup

When contributors ask for information and then you cannot find it because your information source collapsed the previous night, you will present a really nasty picture. Always have a back-up set up for your information source. You can also become a DBA by joining our training institute

5. Enter contributor and volunteer information in database

They should be accessible to you. When they change their contacts and other appropriate information, your information source should be updated with the new information. This will help a lot when you are reaching out to individuals to help out in certain activities related to your company.

Don't be shellfish...Digg thisBuffer this pageEmail this to someoneShare on FacebookShare on Google+Pin on PinterestShare on StumbleUponShare on LinkedInTweet about this on TwitterPrint this pageShare on RedditShare on Tumblr

5 Tricky SQL Databases

5 Tricky SQL Databases

Let’s look at some explanations before we begin:

  1. Delay Declares or Line States: A period of patiently waiting that comes after executing concerns or running sources associated with particular projects and here in these 5 Tricky SQL tutorial we will refer about the same. While SQL is executing one or more concerns or taking sources, a certain period of time must be invested both checking the storage and information and executing the computation or process at hand. Two common wait kinds are attach wait kinds, such as PAGEIOLATCH_EX, which represents a wait that happens when a process is patiently waiting on a attach for an I/O demand kind of shield, and CXPACKET wait kinds, a common problem associated with good server CPU utilization due to poorly-written similar concerns (queries designed to run concurrently). A third common wait kind is the WRITELOG wait, which is associated with the SQL period writing the items in the storage cache of a log to the hard drive where the log is saved.

  2. Locking: In SQL, there are secure sources and secure ways. Lock sources make reference to the places where SQL can position hair, and secure ways make reference to the hair that can be placed on sources so they can be utilized by contingency projects and dealings. There are several sources where hair can be placed, such as a row in a table or a secure on each row within a catalog. There are also several secure method kinds, such as distributed hair and unique hair. Some hair are completely excellent, but others can be damaging to efficiency.

  3. Disk and System I/O: SQL information and dealings funneling in and out of the hard drive, storage cache or through the network. The more there are, the more intense the efficiency can be. However, fine-tuning your concerns and listing can considerably reduce the feedback and outcome on the physical and sensible drives and network.

  4. Contention: Generally a term associated with argument in securing. Locking in SQL helps to ensure reliability when executing read or create projects in the data source, but argument when securing can happen. Contention can happen, for example, when procedures are trying to perform up-dates simultaneously on the same page.

  5. Great CPU Usage: Great server CPU utilization as it pertains to SQL is straight attached to the SQL procedures being run, inadequate question performance, system projects and extreme collection and recompilation of concerns. The CPU can also be damaged if there are bad indices set up. Thus our 5 Tricky SQL tutorial comes to an end.

Don't be shellfish...Digg thisBuffer this pageEmail this to someoneShare on FacebookShare on Google+Pin on PinterestShare on StumbleUponShare on LinkedInTweet about this on TwitterPrint this pageShare on RedditShare on Tumblr