SQL Database Development for Small to Mid-sized Businesses
Unsure about what software you should select for your business? Do you need help with your MS Access database development? We would be happy to help you decide based on a comprehensive evaluation of your needs.
Is there nothing out in the marketplace that precisely handles your particular business’ needs? We can develop a Microsoft Access application for you from scratch! We look after analysis, design and development with your input every step of the way.
We work with small to mid-sized businesses and develop our applications using Microsoft Access – something you probably already have on your system. This avoids costly licensing fees associated with most large-scale databases, and reduces the amount of MS Access training required for you and your staff. We can give you the ability to add your own reports and queries if you desire or build a self-contained custom menu-driven application. The choice is yours.
We take care of everything so you don’t have to.
What is data base development?
Data Base Development is the creation of a database management system (DBMS) that allows users to store information in a structured way. Databases are used to manage large amounts of data and can often be accessed from anywhere at any time. There are many different types of databases, but they all have similar functions. They allow us to organize our data into categories and search through them easily.
What does database development mean?
Data Base Development (DBD) is the process of organizing raw data into a usable format that can be used for analysis. This can take a variety of forms. A database can be created from information collected through surveys, questionnaires, interviews, etc. as a critical step in research projects. It can take the form of storing information from daily activities like tracking receipt of product to compile a record of physical inventory; staff attendance for compensation purposes; production of product or assembly of components for invoicing. Everyone deals with databases on a daily basis – often without even realizing it. Every time you use Google or Bing to search the Internet, you are accessing their database to perform the search.
What are the 3 phases of database design?
- Conceptualization
The first step in any project is conceptualizing what you want to accomplish. In this phase, you need to determine your goals and objectives. You should have a clear idea of what you want to achieve before you even begin creating the database. - Data Modeling
Once you’ve determined your goals and objectives, you’ll need to create a data model that defines how the information will be stored. This includes defining tables, fields, relationships, etc. - Database Design
In this phase, you’ll start building out the database structure. You’ll define the schema (the organization) of your database. The database design phase is where you decide how the data will be structured within the database.
How is a database used?
A database is a collection of data that can be searched and retrieved easily. A database can contain information about people, places, things, events, etc. Databases are often used to store large amounts of information. Some databases are built into software applications while others are separate from those applications.
Database Management Systems (DBMS) are programs that allow users to create, modify, and query databases. DBMSs are designed to make the management of databases easier. They provide tools to help organize and maintain your data.
An example of a database would be a list of names and addresses. You could use this database to keep track of customers, employees, or anything else you want to remember. This type of database is usually a relational database. Relational databases are organized into tables where each row represents a single record and columns represent fields containing specific pieces of information. Each table contains information on only one person, place or thing (one table for Customers; one table for Employees, etc.) The various tables are organized into relationships with the other tables which is why it’s called a Relational database.
The following is an example of how a database with a single table might look:
Name | Address | Phone Number
John Doe | 123 Main | 519-555-1234
What is a Microsoft Access Database?
Microsoft Access is a powerful database management system that can be used to create customized databases for your business or organization. It allows you to quickly create databases that are easy to manage and update. You can easily add fields, tables, queries, forms, reports, charts, macros, and more. Microsoft Access performs well as a front-end to other databases, and is perfect for organizations who want a database on-premises without the worry of data being accessed through an Internet connection. Examples are sensitive HR information, rural production facilities that have inconsistent Internet access or facilities wanting to perform physical inventory counts at 3rd-party storage locations that do not provide reliable access to a network connection.
Product Features:
- Create a database using any combination of data sources such as Excel spreadsheets, text files, or ODBC (Open Database Connectivity) connections to other databases such as Microsoft’s SQL Server.
- Import data into Access databases from a variety of data sources including text files, Excel spreadsheets, web pages, databases, and other ODBC-compliant databases.
You can import data from multiple sources at once.
- Use SQL statements to build complex queries that retrieve information from different data sources.
- Build relationships between records using foreign keys.
- Add new records using Insert/Update/Delete commands.
- Export data to XML, CSV, HTML, and PDF formats.
- Generate MS Access report design that summarize data in an attractive format.
- Create dynamic dashboards that display real-time data.
- Automatically generate forms based on database tables.
- Customize form layouts using Visual Basic for Applications.
- Create user defined functions to perform calculations on data.
Relational or Sequence databases and Non-Relational or Non-sequence databases
What are the types of databases?
You’ve probably heard the term database before, but did you know there are two main types? Which one should you choose if you want to store data efficiently?
Databases are essential tools for storing information in a secure way. They allow us to organize our data, and they also let us retrieve specific pieces of information from them.
There are two main types of databases: Relational or Sequence databases and Non-Relational or Non-sequence databases (often called NoSQL databases). Each type has its advantages and disadvantages, and choosing the right one depends on the kind of data you plan to store.
What is relational database?
A Relational Database (RDBMS) is a data management system that stores information in tables. A table consists of rows and columns. Each row represents a record and each column represents a field. Tables are linked together based on primary keys. These keys help to identify records uniquely. It is the most common type of database. Examples include SQL Server, Oracle, PostgreSQL and DB2.
Relational databases are used in most companies to store Customer and Vendor information, Product and Bill-of-Material (BOM) data, Employee and Department information as well as Inventory and Sales data. Most major Enterprise Resource Planning software (i.e. SAP, Microsoft Dynamics, NetSuite and others) use relational databases to store information for their clients. Many web sites use MySQL, a relational database, to store information that is entered through a browser.
What is Non-Relational or NoSQL database?
A Non-Relational database doesn’t use rows and columns. It might just have columns or a collection of categories, documents or graphics instead. The data may or may not follow any particular pattern.
- What is a Key-Value Store?
A Key-Value store database only stores key-value pairs (i.e. a key value and an associated descriptor). This method provides quick access to simple information about that key value. These databases are very fast as a result of the limited amount of information that is stored about each key.
- What is a Columnar Database?
Columnar databases are similar to relational databases, except they store data vertically instead of horizontally. Columnar databases are designed to handle large amounts of data efficiently. In addition, they are often used to store unstructured data. Think of them as Key-Value store databases that have multiple amounts of data associated with each single key value. They’re considered NoSQL databases since they are not structured like a relational database. Internet of Things (IoT) devices tend to use columnar databases since there is a high volume of data that needs to be transmitted all at once. The columnar structure allows this data to be written quickly without adding the overhead of a relational structure. Artificial Intelligence (AI) applications also tend to use columnar databases such as JSON (JavaScript Object Notation).
- What is document database?
A document database is a collection of documents stored together in a single location. It is a type of NoSQL database. A document may be any type of file including text files, images, videos, audio recordings, spreadsheets, presentations, etc. In addition to storing documents, a document database may store metadata about each document. Metadata includes information about the author, creation date, keywords, tags, categories, comments, etc.
- What is graph database?
Graph databases are data structures that store information about the relationships between objects. They are another type of NoSQL database. A graph database stores information about nodes (entities) and edges (relationships). Nodes may have attributes associated with them, and edges may have attributes associated with both ends. Graph databases are often used to model real-world problems involving networks, social graphs, and hyperlinks.
This is by no means an exhaustive list of the types of databases currently in use. We didn’t discuss flat files or hierarchical models, for example, since these are not so much types of databases but types of data storage methods. Nor did we discuss the location of these databases – whether they be on-premises, network-based or in the cloud. The combination of storage method, access method and organization of the data itself might result in the perception of a new and different type of database, but be assured it will definitely fall into one of the two overarching categories discussed here.
At Resolutions Consulting company, we understand that your business is your life. And we also know how important it is to have a reliable database. That’s why we offer database development services that are tailored to your specific needs. We take care of everything – from initial planning to implementation and ongoing maintenance. And because we’re based in Guelph, we’re always close by if you need us.
So, if you’re looking for a database development partner that you can trust, look no further than Resolutions Consulting company. We’ll take care of everything so you don’t have to.
We have over 25 custom databases spanning from Surrey BC, Cambridge, Waterloo, Kitchener, Guelph, to Toronto ON. Each one is customized. Everyone is unique – just like you and your businesses.
We are local business based in Guelph, Ontario