In many enterprises, the effectiveness of site search or the lack thereof impacts business productivity. If you are in the process of implementing your first search engine, migrating to a new one or improving your current one, it is crucial that you evaluate the right search engine.

The right search engine should best fit your business objectives. Certain features and performance metrics will depend on what you are looking to improve whether it is external or internal. The right search engine should also depend on your industry and what you want users to get from your site search.

To help you get started, here’s how to choose the ideal search engine:

Check core technology

The first thing to look for is the core technology of the search engine. It is crucial that you know the base programming technology. Is it open source or commercial? What about the total licensing costs? What are the needed skills? Before you search, you need to understand and answer these questions up front.

Determine the scalability

You must know that modern search engines whether it is open source or commercial, have the ability to scale up millions of documents. However, you need to find scalability that can store more documents. With this, you need a more sophisticated configuration in order to handle higher data volumes.

Check the connectors

The ideal search engine should provide the flexibility to achieve optimum performance for your connectors. This way you can optimise your data aggregation, analytics and discovery potential. With this, you have to know what connector types you will need when you evaluate your options.

Consider content processing

You must be aware that content processing is a crucial function in a search engine. The process ensures that the data from dissimilar sources play well together. This is for completeness and relevancy especially during the search process. For your business, you have to understand different components of content processing especially during evaluation of search engines.

components of content processing

Determine to index

In indexing, crawls for search engines are crucial. IT professionals should give attention to scheduling a crawl – either full or incremental crawl.

Check the query functionality

The ideal search engine should be able to support query-based search functions. This will depend on the types of data and the business problems you have.

You have heard about Elasticsearch but you did not pay much attention. It is time that you consider it if you want to be successful in your field. Elasticsearch is a distributed search and analytics engine, which is based on Lucene library. Official clients are available in Java. PHP,.NET, Apache Groovy, and Python.

When you consider the Elasticsearch Python tutorial, you will benefit from extremely fast searches that support your data discovery applications. With Elasticsearch, queries that conventionally take more than 10 seconds using SQL will return results in just under 10 milliseconds. Some websites that are based on Elasticsearch include Quora, Netflix, Foursquare, Wikimedia and GitHub.

Consider the search relevancy

Search relevancy refers to the process of sorting the results of documents, which are most likely to be shown at the top. Relevancy will depend on the testing and improving relevancy consistency.

Check the security

Since there are multiple repositories involved, it is vital to implement security. However, it can be complex. With this, you have to choose something that has security regimes that are integrated seamlessly with your search engine.

After choosing the right search engine for your business objectives, you need to consider data mining and configuration management systems. There’s Weka, a library of machine learning intended to solve different mining problems. In Weka machine learning tutorial, you will know how to use a collection of algorithms and apply it directly to the data or from the Java code.

Weka uses tools like regression, clustering, association, data pre-processing, classification and visualisation. Many stakeholders consider this because it is open source and free. It is also easy to use, flexible for scripting experiments and GUI (Graphical User Interface).

Ansible is an IT automation tool. It efficiently automates cloud provisioning and configuration management. In Ansible tutorial for beginners, you will know that it uses no agents and additional custom security making it easy to deploy. More importantly, it utilises simple language called YAML in the form of Ansible Playbooks.

Basically, it works by connecting to your nodes and pushing out small programs (called Ansible modules”). By default, Ansible will execute these modules and removes it when finished. The library of modules can live on any machine. There are no servers or databases needed.

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