SQL Database: overview and six editions of SQL Database 2014

The main product from Microsoft in the RDBMS category has been the SQL Database. The main query language supported is T-SQL which is the ANSI standard SQL extended by MS. MS SQL Server was first created for the PS/2 systems in collaboration with Sybase and Ashton Tate. The first release was in 1989, an updated version was released on average every two years. By the time the SQL Database 2005 version became available, the code base was completely owned by Microsoft and the SQL Database was offered as an independent product. Sybase developed a similar product with a similar sounding name.

tutorial for learning sql

Microsoft offers the product in a number of editions, including an Express version that is available for free. It is limited in features but does give you a good feel of what the SQL Database can do. The latest release has been Community Technology Preview which have been made public in April 2016. SQL Server 2016 became generally available on June 1, 2016

The SQL Database 2014 editions have changed over time. The different editions of the SQL Database in any specific release are addressed to different usage scenarios. There are six editions available with the SQL Database 2014. These include an Express edition, Enterprise edition, a Business Intelligence edition, Web edition, Developer edition, and a Standard edition.

  1. The Express edition provides all the the necessities to get started with SQL Server. It is free and easy to use.
  2. The Enterprise edition is intended for enterprise level applications. These typically have demanding and mission-critical services from the database and business analysis needs.
  3. When you have a need for building secure BI applications that are scalable as well as manageable, you need to invest in the Business Intelligence (or BI) edition.
  4. The Standard edition of the SQL Database is useful for BI and core database functionalities.

The latest SQL Database 2014 has incorporated in-memory that improves performance significantly by letting users’ process complete tables to in-memory. This feature is available in all the editions of the sql database and allows minimizing the time for transporting data back and forth from disc. Even if the applications need to be disk bound, performance is enhanced through the use of extension of SSD buffer pool in the sql database. These solid-state drives can act as a cache between the hard drives and main memory. Full text search capabilities incorporated into the latest editions of the sql database.

  1. The “Web” edition is meant for SQL Database integrated into web applications, and only available for service providers hosting public websites that use SQL Server.
  2. The “Developer” version is meant for application development, test and roll out of sql database applications. It has all the capabilities of a full SQL Database.

Please contact us at SQL Server Tutorial if you have any further questions regarding SQL Server or SQL Server 2014 in particular. We are ready to help!

 

Related sites:

http://www.microsoft.com/en-us/server-cloud/products/sql-server/

https://www.youtube.com/watch?v=00b3baKf3R0

http://msftdbprodsamples.codeplex.com

http://searchsqlserver.techtarget.com/essentialguide/SQL-2014-Investigating-Microsofts-latest-database-release

 

What is Business Intelligence (BI)?

What is BI? BI stands for Business Intelligence (BI).

Every enterprise requires understanding of how the company is performing, what area of the business requires focus to improve. To determine these, we need data, just data will not help, it requires analysis, calculations, in one word called metrics, to understand projected information. Source of the date is being Raw data, this raw data needs to be molded to metrics and that can be possible with Business Intelligence (BI). Business Intelligence (BI) is technology driven process for Analyzing data for executives to make decisions. Business Intelligence (BI) process provide historical, current and predicted data. Business Intelligence (BI) is also termed as Decision Support Systems (DSS). Business Intelligence (BI) is getting more popular in medium to large size enterprise companies.

BI tools can be fulfilled with common items.

  1.  ETL tools (Extraction Transformation and Loading). This helps in extracting the source to destination.
  2.  Reporting tools. These tools provide calculations, values and graphs in human understanding.

Business Intelligence (BI) is the process of getting application data which normally in normalized database to Business Intelligence (BI) database which is denormalized. Primary motive of Business Intelligence (BI) is to focus on speedy retrieval of the data rather and focusing on data redundancy.

Without proper data there is no way Business Intelligence (BI) will work. To make it work data needs to be tuned filtered. This can be done in multiple stages.

  • Source Data:
    • Data Standardization: make data comparable (same unit, same pattern…)
    • Master Data Management: unique referential
  • Operational Data Store (ODS):
    • Data Cleansing: detect & correct inaccurate data
    • Data Profiling: check inappropriate value, null/empty
  • Data warehouse:
    • Completeness: check that all expected data are loaded
    • Referential integrity: unique and existing referential over all sources
    • Consistency between sources: check consolidated data vs sources
  • Reporting:
    • Uniqueness of indicators: only one share dictionary of indicators
    • Formula accuracy: local reporting formula should be avoided or checked

When its coming to the Business Intelligence (BI) data, where more focus is on fast retrieval of the data rather than focusing on data redundancy, what we call as Relational database vs Dimensional database. Types of Dimensional database used in Business Intelligence (BI) are Star Schema, Snowflake Schema were designed.

More understanding of these schema’s.

  1. Star Schema

Star schema separates business process data into facts and dimensions. Facts being all metrics and calculations, Dimensions being anything like

  • Time dimension
  • Geographical dimension
  • Customer dimension
  • Calendar dimension

Fact table contains primary keys of the dimension table as foreign keys. Dimensions will able to store history when any key information is changed. This process is called changing dimensions, where data represents with start date and end date.

Overall Business Intelligence (BI) is turning into a most important department in enterprise, helping improving the business.

 

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