Meta Data is data that describes other data in a structured, consistent form, so that large amounts of data can be collected, stored, and analyzed over time.
Metadata is used to store big data in data warehouses for easy retrieval and management. A data warehouse uses structured data in data sources that are standardized, cleaned, and consistent. Metadata provides uniformity in the collection and storage of this data, so business owners and data analysts can easily access and derive insights from the data.
Effective management of meta data is a necessary part of robust and flexible big data “ecosystems,” that is, it helps companies manage their data assets efficiently and makes that data available to data scientists and other analysts.
SaaS (Software as a Service) is a cloud computing model that refers to the delivery of software as a service over the internet.
Data analysis is the thorough and careful review and interpretation of data collected through a study. Data analysis then yields results that can be used to accurately answer research questions.
Data cleanup, or data rubbing, is the process of detecting and correcting or removing data or records that are incorrect from a database. It also includes correcting or removing unformatted or duplicate data or records.
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.
The Self-Service Analytics platform was designed for all Enerjisa employees to benefit from Enerjisa's strong analytics capabilities.
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!
