Big Data Services

Proven expertise in Big Data services ranging from use-case development and cluster installation to system integration and turnkey projects.Learn Apache Hadoop from the experts. Read More

Big Data Training

Dilişim is Cloudera’s only certified training partner in Turkey and ready to deliver the state-of-the-art Hadoop courses. Read More

Enterprise Search

Dilisim has been consulting and providing custom solutions for Apache Lucene and Solr for over a decade. We work with companies whose revenue depends on their search performance, such as e-commerce and knowledge access companies. Read More

Text Mining

Dilisim performs text mining and social media analysis with Apache Lucene Analyzer. Read More

News & Courses

Future-proof your career by training-up on Hadoop.

Cloudera Developer Training for Spark and Hadoop

This four-day course delivers the key concepts and expertise participants need to ingest and process data on a Hadoop cluster using the most up-to-date tools and techniques, including Apache Spark, Impala, Hive, Flume, and Sqoop.

Cloudera Data Analyst Training: Using Pig, Hive and Impala with Hadoop

This four-day data analyst course is for anyone who wants to access, manipulate, transform, and analyze massive data sets in the Hadoop cluster using SQL and familiar scripting languages.

Cloudera Administrator Training for Apache Hadoop

This four-day administrator course provides the technical background you need to manage and scale a Hadoop cluster in a development or production environment.

Dilişim is among 100 Most Promising Big Data Companies

Dilişim has been listed as one among “100 Most Promising Big Data Solution Providers 2016” by CIOReview

We’re looking for a new teammate!

Head overview: Dilişim is growing, and we are looking for talented, high energy interns who love code, data and analytics. We are looking for a new teammate to work in our Istanbul office.

Follow our Big Data Group on Linkedin

This group focused on helping Big data users share experiences, sharing training opportunities, problems and solutions, as well as learn new skills for building large-scale Hadoop-based systems.