MS Sql development is an RDBMS system used to create a seamless method to store and retrieve data .
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There are no mandatory prerequisites to learn MS SQL Server Developer but having the basic knowledge of RDBMS would be an added advantage.
Microsoft SQL Server Developer is an RDBMS management system developed by Microsoft Corporation. This creates a seamless way to provide the data for storing and retrieving data requested by the application of a system or by the systems that run on a similar network. SK Trainings has designed this SQL Server Developer training with an aim to provide the complete knowledge of various concepts and to make you job-ready. Become a Certified MS SQL developer by joining SK Trainings.
In this MS SQL Server Developer online training you will learn:
Taking up this MS SQL Server Developer course is beneficial for the below professionals:
Yes, upon the successful completion of the MS SQL Server Developer training you will receive the course completion certificate from SK Trainings. This certificate is valid across all the top MNCs and simplifies your job search process.
Yes, you will get all assistance from the MS SQL Experts to clear your certification exam. Moreover, you will be provided with the experts designed MS SQL Server Course material to clear your certification exam.
It is the way to eliminate redundant data
1. Reduces null value 2. Enables efficient indexing 3. 1NF – Removes duplicated attributes, Attribute data should be atomic, and attribute should be same kind. 4. 2NF – Should be in 1NF and each non-key is fully dependent on the primary key. 5. 3NF – Should be in 2NF and all the non-key attributes which are not dependent on the primary key should be removed. All the attributes which are dependent on the other non-key attributes should also be removed. Normalization is done in OLTP.
Relationships in SQL server are explained below
1. One to One –It can be implemented as a single table. Rarely it is implemented in two tables. For each instance, in the first entity, there is one and only one in the second entity and vice versa. 2. One to Many –For each instance, in the first entity, there can be one or more in the second entity. For each instance, in the second entity, there can be one and only one instance in the first entity. 3. Many to Many –For each instance, in the first entity there can be one or more instances in the second entity and moreover, for each instance in the second entity there can be one or more instances in the first entity.
Candidate key, Alternate key, Composite key.
● 1.Candidate key –Key which can uniquely identify a row in the table. ● 2. Alternate key –If the table has more than one candidate keys and when one becomes a primary key the rest becomes alternate keys. ● 3. Composite key –More than one key uniquely identifies a row in a table.
Lets you extend the base SQL Server data types by providing a descriptive name and format to the database. E.g. Flight_num appears in many tables and all these tables have varchar(8) Create a user-defined data-type
It plays a very major part. When building a new system, or adding to an existing system, it is crucial that the design is correct. Ensuring that the correct data is captured and is placed in the appropriate tables, that the right relationships exist between the tables and that data redundancy is eliminated is an ultimate goal when considering performance. Planning a design should be an iterative process, and constantly reviewed as an application is developed. It is rare, although it should be the point that everyone tries to achieve, when the initial design and system goals are not altered, no matter how slightly. Therefore, a designer has to be on top of this and ensure that the design of the database remains efficient..
● 1.Logical – Planning, Analysis and Design ● 2.Physical – Design, Implementation and Maintenance
Yes, very much. Check out BEGIN TRAN, COMMIT, ROLLBACK, SAVE TRAN and @@TRANCOUNT
USER_ID(). Also check out other system functions like USER_NAME(), SYSTEM_USER, SESSION_USER, CURRENT_USER, USER, SUSER_SID(), HOST_NAME().
The ORDER BY clause sorts query results by one or more columns up to 8,060 bytes. This will happen by the time when we retrieve data from the database. Clustered indexes will physically sort data while inserting/updating the table.
Referential integrity refers to the consistency that must be maintained between primary and foreign keys, i.e. every foreign key value must have a corresponding primary key value
It returns the most recently created identity value for the tables in the current execution scope.
Fast performing stored procedures are like several other areas within T-SQL. Revisiting stored procedures every six months or so, to ensure that they are still running at their optimum performance is essential. However, actual techniques themselves include working with as short a transaction area as possible, as lock contention will certainly impact performance. Recompiling your stored procedures after index additions if you are unable or not wishing to restart SQL Server, will also ensure that a procedure is using the correct index if that stored procedure is accessing the table which has received the new index. If you have a T-SQL command that joins several tables, and it takes a long time to return a value, first of all, check out the indexes. But what you may find tends to help, is to break down the code and try to determine which join it is that is causing the performance problem. Then analyze this specific join and see why it is a problem. Always check out a stored procedure’s performance as you build it up by using the SHOWPLAN commands. Also, try to use EXISTS, rather than a JOIN statement. An EXISTS statement will only join on a table until one record is found, rather than joining all the records. Also, try to look at using subqueries when you are trying to find a handful of values in the subquery statement, and there is no key on the column you are looking upon.
Perhaps one of the performance gains least utilized by developers starting out in SQL Server are temporary tables. For example, using one or more temporary tables to break down a problem into several areas could allow blocks of data to be processed in their own individual way, and then at the end of the process, the information within the temporary tables merged and applied to the underlying data. The main area of your focus should be, is there an alternative way of doing things? Even if I have to break this down into several chunks of work, can I do this work without using cursors, and so result in faster performance. Another area that you can look at is the use of CASE statements within your query. By using a CASE statement, you can check the value within a column and make decisions and operations based on what you have found. Although you will still be working on a whole set of data, rather than a subset found in a cursor, you can use CASE to leave values, or records as they are, if they do not meet the right criteria. Care should be taken here though, to make sure that by looking at all the data, you will not be creating a large performance impact. Again, look at using a subset of the data by building a temporary table first, and then merging the results in afterwards. However, don’t get caught out with these recommendations and do any of them in every case. Cursors can be faster if you are dealing with small amounts of data. However, what I have found, to be rule number one, is to get as little data into your cursor as is needed.
This is a very open-ended question and there could be a lot of reasons behind the poor performance of a query. But some general issues that you could talk about would be:
1. No indexes 2. No Table scans 3. Missing or out of date statistics 4. Blocking 5. Excess recompilations of stored procedures
A non-prime attribute is an attribute that is not a part of a candidate key.
Consistency means that the transaction will repeat in a predictable way each time it is performed.
Guarantees that the database will keep track of pending changes so that the server will be able to recover if an error occurs.
It is a set of software programs used to interact with and manage relational databases. Relational databases are databases that contain tables.
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