How to solve Machine Learning Challenges on AWS
We use Machine Learning to bring Big Data to life.
In large IT architectures, large amounts of data accumulate: Big Data. We help our customers to prepare this data in different phases of the ETL process and finally bring it to life. For data warehousing, we use AWS Redshift and Google BigQuery. At the same time, we use modern approaches to manage datalakes such as Databricks on Apache Spark.
We train machine learning models on demand, using cloud-native tools such as AWS Sagemaker and open-source Tensorflow, ML Flow, and common Python toolkits (scikit-learn, pandas). Python library Matplotlib is utilized for the visualization of data series. For logs, we implement specific solutions or cloud-native logging such as AWS XRay and CloudWatch.
PROTOS Technologie creates added valued by preparing Big Data with Machine Learning.