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rencontre femme estaires ever In order to get start developing applications that utilize Apache Ignite, one must setup a development environment. Here is outline of my development environment:
- Apache Maven 3.0.5
- Netbeans 8.1
- Apache Ignite 1.4.0
royal ace coupon codes Middelkerke Here is a list of Maven dependencies that are included in my Maven pom.xml:
collbató gay dating As mentioned previously, it can be pretty simple to start the Data Grid. I have included some screenshots below where I start up each of the machines previously mentioned. As you can see, every time a new node starts up, the number of available resources (CPU & Memory) increases.
In the last screenshot, the number of servers running is 4, the number of available CPUs is 32, and the heap is 4.0GB. The startup of Ignite nodes is so incredible convenient. I would like to find a way to start all of these machines without having to start each one individually. I believe this can be achieved with a configuration file.
For my Apache Ignite research, I will be utilizing machines in the lab of my graduate school. The diagram below depicts the lab setup and the machines that I will be utilizing.
I am able to start up Apache Ignite on all of these machines. A nicety of Apache Ignite is that each instance automatically associates itself with the other instances. As I start an instance on each of these machines, the aggregate of all of the resources becomes the Data Grid.
Check out Cache Operations and Transactions
As shown in their example, I have installed the latest version of Netbeans and Maven. I have begun developing a caching application as shown the in video. More updates coming soon!
So, you may have heard all the rage about “big data” over the past couple years… I am here to tell you about the notion of “fast data”. So over the past few years people have been noticing the large amounts of data accumulating… Big data refers to how to organize and store large amounts of data. This data can be stored away efficiently using technologies like map reduce. Now that we are able to organize and store these large amounts of data, what happens when we need to access that data quickly. Along came fast data… A major proponent of fast data is the notion “In Memory Computing”. This means that we are able to hold data in memory vs. on disk so that it is accessed more quickly.
Data Caching is a feature of Apache Ignite that allows the caching of data in memory, and keeps that data synchronized with the database. Keeping the data that in memory in sync with the database allows for fast and accurate data.
So you want to try out Apache Ignite? Here is the first step on your mission to achieve fast data: Apache Ignite Downloads
After the Ignite binary has been downloaded, you will be able to just start Ignite right up using the scripts provided in the bin directory. If you are on a network and have access to multiple machines, then you can install Ignite on several machines. Apache Ignite will automatically recognize other instances without any configuration.
In order to install MySQL, I first had to install the latest version of Python: https://www.python.org/downloads/
After Python was installed, I was able to install MySQL 1.4.
Although I have been using Postgres most recently, I do recall using MySQL in the past on projects and being satisfied with the it’s features.
The MySQL installer will be small as it will turn around and download all the artifacts it needs to install once it’s run. It’s basically a light installer.
As part of my coursework I am going to install PostgreSQL to perform test queries on. PostgreSQL can be downloaded from: http://www.postgresql.org/
Click download, and then choose you OS. My OS is Windows 10.
Run the installer after the download has completed (Roughly 60MB).
Set the installation directory and data directory location for your DB:
Set the superuser password for your DB:
Set the port for you DB. The default will work fine unless it conflicts with that port on your machine:
Lastly, just finish the install:
Working full time and attending graduate school can be stressful and difficult. You may feel overwhelmed, or as if you have no time to enjoy life. The important thing to remember (and I keep telling myself) is that it will all pay off in time. Chances are you have some sort of drive if you are continuing your education beyond undergraduate. Keep that drive as your fuel to keep going!
How should a team leader choose their development style? They should make their decision based upon the solidity of requirements. In principle, agile methodologies are great when a team does not have solid, nailed down requirements. In many cases though where requirements have been ironed out it might be fine to go with a traditional waterfall approach. My suggestion is that teams make the best of both. If you are operating with a more traditional approach, then it is still possible to mix some Scrum in there. Stand up meetings are a great way to briefly communicate issues, successes, or short comings. Regardless of your teams current development methodologies, remember that communication is key!
Here I will be detailing how to install glut V3.7.6 for OpenGL development.
Start out by downloading glut: http://user.xmission.com/~nate/glut.html
Then uncompressing the zip archive that is downloaded. I suggest creating a common area for the install files.
- Copy the following files to the directories listed below:
- glut32.dll to:
- glut32.h to:
- C:\Program Files (x86)\Microsoft Visual Studios “VERSION”\VC\Include\GL\glut32.h
- Please not that the GL folder may not already exist
- glut32.lib to:
- C:\Program Files (x86)\Microsoft Visual Studios “VERSION”\VC\lib\glut32.lib
- C:\Program Files (x86)\Microsoft Visual Studios “VERSION”\VC\lib\amd64\glut32.lib
- glut32.dll to: