As a business continues to grow, the data that is processed throughout its operations increases relatively too. The assets that you have currently in your organization are not the same few stuffs that you started with at the time of launching the business. That is the same thing with the volume of data that the transactions and the processes of a business generates.
As it grows, it widens its customer base plus other factors that make an organization want to expand in terms of the systems they use. System administrators, therefore, work round the clock to ensure that their server configurations meet the data storage requirements of an organization. It’s not just about data storage but how easy it will be to retrieve and store it back in the process of transactions.
Volumes of data double in after around one and a half years of operations, and that means the older an organization is, the more data it will have to deal with.
Its More Than the Data Stored in Your Storage
Apart from the information that is stored in an organization’s system, Big Data also refers to data that streams from other sources. The sources can include remotely connected mobile devices, web activities and all other business transactions that you may have. Such data will have different formats and will be unstructured hence tough to manage.
The factors that characterize big-data are coded 5 Vs and they are;
Data Infrastructure Tools
In order to ensure that an organization is dealing with top quality data, the system administrators involved put complex technologies into use, and even purchase Enterprise Servers. Sometimes the technologies can make server configuration challenging. Its however a nice challenge in relation to the traditional way of computing.
To make the work easier and seamless on the server, one needs to stick to the modern infrastructure of processing data. This is because the organization will be receiving the data manually through pen drives and other portable media. It will also be streaming in and out through the live online streams.
The platform has to be distributed equally for that matter so that it can be possible to move and select data for downstream processing over or through parallel nodes, so that it can be interpreted well ultimately. A balanced processing and distribution of data is meant to achieve that goal of increasing the throughput of data. It is done by spreading the storage and enabling its computing over numerous nodes of a cluster.
You Will Need To Reconfigure Your Server
Your organizations will need some specific platform tools if you are to configure your server to handle large sizes of data. They are referred to as Warehousing tools that include;
- Apache Kafka – It is used with Flink or Samza, and it’s meant for data that is distributed with low-latency streaming
- Apache Hadoop – It is for data that is of HDFS filesystem
The system can also access unstructured data through modern none-SQL databases such as MongoDB and Cassandra. There are many other databases that can also be put to use.
Modern data handling also includes modern infrastructure like Downstream Data Analytics, which is an application used for statistical machine library. You will also come across popular libraries like H2O.ai or Apache Spark.
Getting Down To Work
You will come across numerous software tools that you will be expected to use in configuring the Enterprise Servers. There is need for distributing clusters in your storage system. The organization will certainly need a production level infrastructure that is completely effective, because data processing and storage has become a tough task. Experienced administrators are also having it rough in this area.
The good news is that to familiarize with the big-data ecosystem, you won’t need to build a cluster system. Through Linux Server plus Visualization, you will be able to configure the Hadoop Cluster in one machine. You will also be able to configure your server so that it can analyze Twitter data that is being fed into your system. The configuration will extend to even cloud computing, where you will configure infrastructures to enable your organization to handle data more professionally.
System administrators have more resources at their disposal than they can use. Apache Spark for example is a great machine learning tool that an administrator can install on their servers to program them for better data processing just like they would want it. The programming will largely be determined by the size and type of data a company usually handles.
There Are GPUs Too
There is more than cluster-based computing when it comes to big-data storage and processing.The latest Graphics Processors play a major part by enabling the processing of heavy graphics that are included in the data.
Every modern organization will need system administrators who will be able to configure their servers in the right way to handle their everyday-increasing company data.
3 thoughts on “Big Data and How Your Server Configuration Will Change”
Nice article. I think server can change its memory requirements dynamically based on available.
Very great post. Thanks for sharing!