*** What We Provide ***
Poor Performing Database
Many databases don't perform as expected for a lot of reasons.
Of the myriad of reasons, three have always stood out as the catalyst and start of ultimate dissatisfaction - Poor Installation, Poor Setup and Poor Data Design.
If your new or existing database is not pushing out information as fast as it was intended, you may have one of more of the following:"?
Lack of knowledge and understanding and people arrogance often make for poor database installation and the result is a database with inadequate or insuffiently planned resources - killing all efforts to fine tune the system.
Is the physical computer disk needed for the database file large enough? Can the DB files be splice and stored (Sharding) into several physical disks, and where should we put the DB logs?
More questions like these need the right answers and actions taken at the start, not when the computer disk is full and your database can no longer store information.
Setting up and Configuring even a properly installed database can be source of nightmares, if the installation requirements page was iqnored at the start and we are now amazingly discovering the expected operating parameters of the database, after the installation.
Do our requirements fit with what the database Vendor designed it to do?.
How much physical computer Memory does this thing really need when it is fully loaded with data?
Our database is not going to perform like a jet engine if we have a server that keeps paging in and out of the physical disk because the machine needs more RAM to cope with our now huge data volume.
Something is wrong and someone should have known that the server machine needs a RAM upgrade - the database is asking for more memory than is currently available in that server.
Poor Data Design
Some unskilled friend, show-off brother inlaw or novice database developer has failed to do proper data normalization even before the first datum of information was stored in it. As a result, the database now hold massive amount of duplicate data everywhere and it is choking to death. For example - duplicating a staff address in the HR, Payroll, Contacts, and Customers table, etc.
Duplicate data means our database gets filled up quickly and the file size on disk becomes larger than it is supposed to be. Sooner or later our database server computer goes into the dreaded file paging struggle with a hard disk that is full.
Desire and Skill Mismatch
We always desire a database that is more efficient at storage, user access and data retrieval. In its later life, we want to be able to easily replace it or migrate data from it. But to achieve our goals, we must match our desires by employing more than the adequate human and technical resources.
A skilled Database developer must design and structure (Normalize) the data so you can efficiently store and access it without duplicates. A seasoned Database Administrator must fine-tune your database so it can perform like a rocket.
A database is not just the software we installed, but also what some skilled set of people knew it can do, then set it up and told it to do.
The above is still just the surface. There is a lot more to the in and out of a database than proper Installation, Setup and Data design.
GlossiveTech has trained people who know and work with databases everyday.
We can help you get it right, even if previously, it was poorly installed, setup or designed.
GlossiveTech provides a database Install, Setup and Configuration service that is guaranteed to make your database operate as required for any data purpose intended:
If you have a database requirement, we have a team of experts you can rely on.
We cover all areas including:
* The Database - is it the right one.
* The Data Set - what are you storing.
* Size Planning - before and after.
* DB Segmentation - how to split data.
* Disk Partition - multiple data disks.
* Data Deduplication - uniqueness.
* Installation - best DB options.
* Setup - resource location.
* Config - perfomance tuning issues.
If you have a specific need for your database, we can also advice you on the way forward.
* MySql Database
* Oracle Database
* SQL Server Database
* MS Access
* Mongo DB
* Apache HBase
* Project Voldermort
* Google BigTable
* Amason SimpleDB
[In-Memory NoSql DB]
* Apache Ignite