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Machines’ database produce a large amount of information. One Linux or Windows server alone can generate more logs than any other system has the bandwidth to go through in a manual manner. Yet, inside those logs lie crucial insights and actions that could save your company from the coming cyberattack and prevent mission-critical systems from going down, or make prophecies about the future needs for capacity or boost sales by analyzing customer behavior on your site. 

 

Unfortunately, most of the time this important lode is not mined. It’s only when there is a major incident that IT experts sift through the information to try and figure out the reason for what happened.

 

Splunk allows you to make mining the data simple and automated. Through Splunk’s powerful engine, user-friendly interface, and powerful queries, IT experts can create dashboards, reports and alerts that are based on the data by databases, IoT sensors, machines, HTTP outputs, syslogs or virtually every other source. Instead of reacting, IT pros can now be proactive and even predict. Splunk helps machine data work for IT professionals, and this, in turn, helps create IT more efficiently and effectively. Join Splunk training online today to learn more about it.

 

Followings are the top advantages from Splunk in IT:

The Advantages of Splunk

Splunk is the ultimate “Swiss Army knife” of the IT world. Splunk can take data from almost every source that you can imagine. (I have yet to come across any data source Splunk can’t consume, however it could exist.)

 

  1. Splunk is able to capture and examine the unstructured data

The structured data in the relational database, Hadoop clusters, CSV files, and other similar formats can be easily accessed and consumed by Splunk. However, any typical business intelligence tool can collect and analyze structured data (I’m thinking of your tool, Tableau).

 

The area where Splunk does well is analysis and capture of machine-generated, unstructured data – the kind of data that is extremely important for IT professionals. The data comes from numerous sources, but the majority of it comes from logs created by information systems, such as hypervisors, containers, sensors databases, servers routers, firewalls, files/directories and many others. Watch this Splunk tutorial now to learn some basics about Splunk.

 

  1. Splunk makes use of machine learning to search for trends in data

Machines excel at recording every event that occurs to them or through them. They’re not very good at generating useful knowledge from this data or even making the data understandable for humans.

Splunk makes use of machine learning to search for pattern patterns within the information. This means Splunk can assist IT professionals anticipate an imminent cyberattack, notify them of an event that could cause the disk to reach its maximum storage capacity or determine the time when backups will fail. Splunk can be able to, of course, assist you in making basic business intelligence predictions using data taken from databases and other sources.

 

  1. Splunk has a vibrant user base that has resulted in an abundance of add-ons and applications

One of the reasons people love Splunk is its active community that includes Splunk members, their customers and even enthusiasts. I visited their chic Headquarters located in San Francisco in 2017, and I felt as if I was walking into the world on the HBO series Silicon Valley. The office had a fun casual atmosphere and the employees were focused on creating an excellent product and having fun doing it.

 

Due to this mindset, Splunk has enabled a huge and active user base (a “fanbase” could be more appropriate). The extensibility of Splunk via APIs and SDKs implies that thousands of add-ons and applications are accessible more coming regularly. These applications are develop by users, vendors as well as Splunk engineers. They enhance the capabilities of Splunk through already-built reports, data models as well as dashboards and more. Anyone can build an application which is why Splunk offers more than only its core offerings. It’s an indispensable and constantly evolving instrument for any IT business.

 

Why should you choose Splunk instead of other options?

Splunk isn’t a simple information technology (BI) tool similar to Tableau. The BI tools use mostly structured data as well as specific types of data sources to generate business-related insights. With Splunk IT experts are able to combine BI functions with incredibly amazing insight provided by unstructured data from machines. The combination of unstructured and structured data is, to my mind, an exciting future for data. Splunk could be the best data analytics tool, or it could be a complement to those existing BI tools. Like the majority of tools, Splunk is not the sole solution to achieve this.

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