Apache Hive is an open source data warehouse infrastructure that provides tools for data summarization, querying, and analysis. It is specifically designed to support analysis of large datasets saved in Hadoop files and compatible file systems such as Amazon S3. Hive was first developed in 2008 by data engineers at Facebook, but is now used by many other companies.
The data lake is where long-term data containers gather that capture, clean, and explore any raw data format at scale. Data subsets are powered by low-cost technologies that many downstream possibilities can benefit from, including data warehouses, and recommendation engines.
MLOps is, in simple terms, a set of applications aimed at improving communication and collaboration between your employees in data science and operations of your brand. Machine learning is also defined as a combination of data engineering and development activities.
Latent Dirichlet Allocation (LDA) is a topic modeling technique that allows the discovery of hidden topic structures on large amounts of text data.
We work with leading companies in the field of Turkey by developing more than 200 successful projects with more than 120 leading companies in the sector.
Take your place among our successful business partners.
Fill out the form so that our solution consultants can reach you as quickly as possible.
By combining our 30+ years of experience and experience with the centers of excellence in our ecosystem, we prepare your organization to lead the digital transformation!
