Dilisim: Bringing Next-Gen Big Data Technology

In late 2000’s, Ozgur Yilmazel, the associate professor at Anadolu University was part of a team that kicked off ‘Mahout Project’, an Apache top level project, to apply machine learning on big data. During the project the professor implemented supplementary utilities for search engines using big data like recommendation engine, information tagging, and extraction and consulted various e-commerce and information technology companies. However, with the passing years, Yilmazel recognized a gap, a growing need in the market for a reliable, and a trusted support for big data applications. This dire need ultimately spurred the conception of Dilisim. The Big Data specialist initially began with the aim to combine natural language processing with commercial search engine computation. To fill the void in the existing marketplace, the management at Dilisim collaborated with Cloudera due to its ability to ensure big data cluster’s core components’ compatibility with open source Apache versions. Thus, the journey of Dilisim as a System Integrator for Cloudera let them become a Cloudera Training Delivery partner. “We have been growing and implementing many projects in telecom, finance, and public sector as the Silver-level System Integrator for Cloudera,” extols Yilmazel, Co-Founder, and General Manager of Dilisim.

Having a holistic view of current big data domain, Yilmazel recognized the challenge in optimizing today’s data deluge with traditional relational databases. He also recognized the opportunity of utilizing Hadoop on Cloudera platform to thwart the dispute. This is the reason; Dilisim works as a trusted advisor to help its clients make informed decisions— from selecting suitable big data cluster, hardware, ensuring proper installation, and full set of trainings on utilizing the cluster. This way, “We offer consulting and training services to help companies transform their information infrastructure and implement big data technologies to capture, store, manage and analyze structured and unstructured data,” continues Yilmazel. Additionally, Dilisim helps companies move their data from a legacy system to the big data cluster by integrating data capture tools. As a next step of integration, the company monitors synchronization of data from the relational database to a big data cluster. Besides, Dilisim assists clients to mitigate their challenge of supporting live cluster by providing administrator trainings and round-the-clock operational support.

Dilisim’s service menu does not limit to supporting Cloudera platform for better management of big data.