Datapao builds robust, scalable, secure batch and streaming analytics pipeline, data platform, and enterprise data lake solutions.
We help you realize the full advantage of your data be it by solving the toughest data challenges or getting you up and running from scratch. We have high expertise in handling megabytes to petabytes of structured, semi-structured, or unstructured data with cutting-edge tools and technologies.
We are behind you throughout the whole data lifecycle journey; from data acquisition, modeling, consultation, ETL pipelines, analytics to visualization. Whether you prefer on-premises, cloud, or hybrid solutions or need help with transitioning from legacy to modern systems, Datapao will figure out the best way ahead and reach business objective targets.
Design and deploy Data Lake in the cloud or on-premise
Create end-to-end data pipelines from source systems to deployment
Migrate from on-premises infrastructure to Microsoft Azure of AWS
Bring internal procedures in line with GDPR and privacy policies
Analyze batch and real-time data
Build on-premises, cloud, and hybrid solutions
Apply thorough data quality management and configure DQM rules
Build next-generation, intelligent Data Management Platforms
Design data governance solutions
Prepare data for AI/ML use cases
Microsoft Azure Amazon Web Services (AWS)
Hadoop, Hadoop-based technologies Databricks Apache Spark
Data Warehousing technologies (Amazon Redshift, Azure Synapse, Athena) SQL
Databricks Jobs and Pipelines Microsoft Data Factory Airflow
Spark Structured Streaming EventHubs Kafka
Microsoft DevOps MLFlow