- 3.1 - Joins
- 3.2 - SQL Functions and Views
- 4.1 - NoSQL Overview
- 4.2 - NoSQL Categories
- 4.3 - No SQL Categories continued
- 4.4 - Benefits of NoSQL, Scaling, Sharding, Replication
- 4.5 - OLAP and OLTP
- Quiz 2
- 6.1 - Commercially Successful RDBMS
- 6.2 - Criteria For RDBMS Selection
- 6.3 - RDBMS vs. NoSQL Summary
- Quiz 4
About this Training
In this course you will learn about the concepts of DBMS, RDBMS, NoSQL, OLAP & OLTP with Real World Examples. You will do hands on SQL on your onw installed SQLITE system, you will create your own playground on MongoDB. You will also learn the tips and tricks on SQL tuning and performance tuning.
This course would help build concept clarity using REAL WORLD EXAMPLES and foundation for strong programming skills
Clear your Doubts
Project in this Training
1.Create Real time Business Queries for a e-commerce book store on the SQLite Installation to query order details, book details etc. and import/export data using JOINS, Functions and Views
2. Create CRUD operations on a MongoDB installation for an Employee database and perform Data Insert actions using CSV file and JSON file.
not getting not clear i didn't downloaded
answered by nagapurisai vishal, [ Jun, 2016 ]
Sorry its from 2.3
answered by YashKothari, [ Jul, 2015 ]
Triggers are stored programs, which are automatically executed or fired when some events occur. Triggers are, in fact, written to be executed in response to any of the following events:
A database manipulation (DML) statement (DELETE, INSERT, or UPDATE).
A database definition (DDL) statement (CREATE, ALTER, or DROP).
A database operation (SERVERERROR, LOGON, LOGOFF, STARTUP, or SHUTDOWN).
Triggers could be defined on the table, view, schema, or database with which the event is associated.
Benefits of Triggers
Triggers can be written for the following purposes:
Generating some derived column values automatically
Enforcing referential integrity
Event logging and storing information on table access
Synchronous replication of tables
Imposing security authorizations
Preventing invalid transactions
Why is it needed?
When data is stored on disk based storage devices, it is stored as blocks of data. These blocks are accessed in their entirety, making them the atomic disk access operation. Disk blocks are structured in much the same way as linked lists; both contain a section for data, a pointer to the location of the next node (or block), and both need not be stored contiguously.
Due to the fact that a number of records can only be sorted on one field, we can state that searching on a field that isn’t sorted requires a Linear Search which requires N/2 block accesses (on average), where N is the number of blocks that the table spans. If that field is a non-key field (i.e. doesn’t contain unique entries) then the entire table space must be searched at N block accesses.
Whereas with a sorted field, a Binary Search may be used, this has log2 N block accesses. Also since the data is sorted given a non-key field, the rest of the table doesn’t need to be searched for duplicate values, once a higher value is found. Thus the performance increase is substantial.
What is indexing?
Indexing is a way of sorting a number of records on multiple fields. Creating an index on a field in a table creates another data structure which holds the field value, and pointer to the record it relates to. This index structure is then sorted, allowing Binary Searches to be performed on it.
The downside to indexing is that these indexes require additional space on the disk, since the indexes are stored together in a table using the MyISAM engine, this file can quickly reach the size limits of the underlying file system if many fields within the same table are indexed.
Used to store character string value of fixed length.
The maximum no. of characters the data type can hold is 255 characters.
It's 50% faster than VARCHAR.
Uses static memory allocation.
Used to store variable length alphanumeric data.
The maximum this data type can hold is up to Pre-MySQL 5.0.3 :: 255 characters. In MySQL 5.0.3+ :: 65,535 characters shared for the row.
It's slower than CHAR.
Uses dynamic memory allocation.
GROUP BY lets you use aggregate functions, like AVG, MAX, MIN, SUM, and COUNT. Other hand DISTINCT just removes duplicates.
For example, if you have a bunch of purchase records, and you want to know how much was spent by each department, you might do something like:
SELECT department, SUM(amount) FROM purchases GROUP BY department
This will give you one row per department, containing the department name and the sum of all of the amount values in all rows for that department.
Because GROUP BY implicitly does a DISTINCT over the values of the column you're grouping by
Go to this link and you will find various Oracle certifications you can get. http://education.oracle.com/pls/web_prod-plq-dad/db_pages.getpage?page_id=651&intcmp=WWOUCERTTOPBAN2ADVCAR
answered by Twenty19Expert Team, [ Jul, 2014 ]
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