The engineering and operations team of a multinational company recently analyzed its source code after having worked with it for some time. What they found was that they had been entering in replace blocks of code over and over again, simply because it was quicker to access. In their projects of shared infrastructure, they were entering in blocks together, simply because it was easier to enter them than to scour the entire file for the first time. In looking at their practices, they realized that this had been a major bottleneck in their efficiency.
Buckets are good for memory
One of the big culprits in the slow usages of large files is the fact that programmers stick to a policy of leaving extra ‘ Room Notice.’ Essential room for as long as possible. This has two negative effects, the first of which is the fact that the next time someone enters that office space, there is more stuff around than when it was previously. The second negative effect is a severe lack of architectural freedom. The boss decides what looks nice is not allowed.
Keep the office tidy
However, just like the Empty Registration Device mentioned earlier, it is quite common for programmers to inadvertently keep large amounts of code that they could, should, and so should be removed. While there is nothing wrong with that, what you are saying to the team is: “I am neither irrelevant nor unwanted. I am only here helping you fulfill this contract – that is all.” In other words, you are saying: “Remember that I am only doing what I am asked to do. I am not doing anything else. Can you please move on to the next job because I have already accomplished what I set out to do?”
Big offices beware
This is the single biggest reason why big offices lose control of their environments. They invest heavily in state-of-the-art database management systems in the belief that that’s the way to go. It is the way to go, but not the way to do it.
If you enter a development environment without a consistent methodology and without a plan for what data is to be collected and stored, the first thing that someone will notice is the bugs. Then, it will be time for a different plan. In other words, while you have everyone’s time to yourself, you should be monitoring each programmer for compliance.
A good methodology that fits the organization’s needs
According to AHOBS, a consulting firm that helps companies analyze their data storage environments, there are four major components to an MFT solution. The first is storage, which is typically a MySQL database. MySQL is great for small organizations, but ultimately will be too costly for big organizations.
The second is access to data in a variety of application languages, databases, and scripting languages. This is where stuff like Perl, Python, and PHP will come in handy. The third is interfaces: for example, an invoice application might use databases (or at least could if the organization was technically savvy enough to build it themselves). The final component is the visibility into the data: you want to know how to access your data and how to get to it.
MFT solves the following problems
The master data management system(MFT) is the central warehouse for the organization that collects and stores all the information according to the rules of the company. In this respect, an MFT is similar to the IBM DB2 database.
MFT creates additional administrative work when it decides which data goes into the business intelligence team, how that data is analyzed, and who has access to the data. In addition to this, an MFT solves a great amount of data warehousing problems by storing data efficiently. While traditional BI solutions send the bulk of the data to the BI team for analysis, leveraging an MFT solution cuts out that step since the BI team can access the data using their software tools.
Another problem with traditional BI storage systems is that they are very inefficient. This is because they are designed solely for storing data, not for retrieving it. Another drawback is that you can’t always predict how much space you will need in the future. This is especially true when you have as large as their library might hold.
MFT solves both these problems by giving you the ability to retrieve data at a very efficient rate and to manage the data with minimal space. This allows you to put the documents into various categories, run reports that can guess the sizes of the classes of data you expect to use, and expand the size of the classes as needed.
Simplifying the world
One of the greatest advantages of an MFT solution is that it can reduce the amount of paper distribute around the globe. The systems that will be implemented will be able to scan and capture all of the data without fail. The information will then move directly to the reinforcing ERP or ECM systems that can keep the system running even in extreme conditions.