Core3 provides data warehouse development and maintenance services. Our experienced consultants will also help you design a data model, architecture and choose technological solutions.
Core3 provides data warehouse development and maintenance services. Our experienced consultants will also help you design a data model, architecture and choose technological solutions. We specialize in Snowflake and Hadoop (Cloudera i Hortonworks) have proven experience in clusers handlign 5+ PB of data working on 60+ data nodes.
Implementation and configuration of reports and report panels, based on available data sources. We develop solutions on most popular tools for data reporting like: Tableau, Microsoft BI, Qlik.
Core3 is a partner of solutions used in the project, in particular:
We develop modern Business Intelligence and Data Warehouse platforms. Our architecture always fits customer needs including data storage types like private or public clouds. We have also proven experience in on-site deployments.
Data warehouse Snowflake's support for data warehousing and analytics provides a low-maintenance, cost-effective way for organizations to consolidate all their data silos into a single source of truth they can query to get results fast. By providing consistently fast queries, more users analyze more data and collaborate with their peers.
Snowflake Data Marketplace enables instant, frictionless, secure sharing of live data within and between organizations. Unlike traditional data sharing methods such as email, FTP, cloud storage (Amazon S3, Box), and APIs, Snowflake eliminates data movement, does not require the data consumer to reconstruct data (ETL), and provides direct access to live data in a secure environment. Snowflake Data Marketplace allows companies to grant instant access to ready-to-use data to any number of data consumers without any data movement, copying, or complex pipelines.
Snowflake provides a unique architecture that enables the development of modern applications without managing complex data infrastructure. Because Snowflake is a fully managed data platform with features such as high concurrency, scalability, automatic scaling, and support for ANSI SQL, developers can quickly deliver data applications that are fast and scalable.
Snowflake helps data scientists operate quickly and efficiently by providing a centralized source of high-performance data to a robust ecosystem of data science partners that handle modeling and training algorithms. Partner-provided output is fed back into Snowflake where it’s easily accessible to technical and nontechnical users.
Using Snowflake as either a standalone data lake or as a means to augment an existing one, delivers the best value in the market for storage, transformations, and data warehousing within one platform to serve all business needs.
Snowflake streamlines data engineering, delivering performance and simplicity so organizations can focus on getting value from their data instead of managing the pipelines and infrastructure.