The success of data science projects is determined by the quality of the information you use. However, as a company, it is necessary to collect data from different sources and formats, which becomes a demanding and tedious task. Sometimes, this collection is carried out unconsciously without following any parameters or policies, ultimately affecting Machine Learning and Artificial Intelligence projects . Therefore, it is important to determine the sources of information, formats, storage, preprocessing, security, and governance of your data from the initial phase. I CLOUD 7 has an interdisciplinary team of data engineers and data scientists who will support you throughout the entire process.

Structured data is useful, but managing large volumes of information begins with the design and creation of a data lake. This allows you to centralize your structured and unstructured data by connecting multiple sources to a single repository, granularly managing the security and governance of your information. To this end, at I CLOUD 7, we enable massive processing services on the most appropriate infrastructure for your project execution (Azure HDInsight, Spark, Apache Hive, Map Reduce, Apache HBase, Storm, Kafka, Amazon EMR, Presto, Apache Flink).

Our Data Engineers will find, organize, and store the data for your project, whether as part of your own IT department or as an extended team.