Metahorizon's certified engineers collect, organize, and transform your raw data into usable formats for effective analysis and decision-making.
Our consultants provide knowledge and understanding of all main AWS services. They possess extensive experience with AWS architecture and apply best practices required by Amazon.
Our AWS associates have proficiency in developing, deploying, and debugging cloud-based applications in AWS. They have strong on-premises IT experience and understanding of mapping between on-premises to cloud.
Metahorizon consultants have good background in Linux/Unix administration as well as Docker and Kubernetes. They work with a high degree of security best practices (e.g. using IAM Roles, KMS, etc.). Experience with monitoring solutions such as CloudWatch, Prometheus, and the ELK stack.
Our consultants have previous exposure to large-scale systems design, the ability to troubleshoot distributed systems and knowledge of writing infrastructure as code (IaC) using CloudFormation or Terraform. Furthermore, we can create serverless workflows for automation of business processes for our clients. This includes AWS step functions to coordinate multiple AWS Lambda functions, Amazon Dynamo DB or AWS RDS and AWS Glue.
Metahorizon can develop and maintain data architecture and data models in Snowflake. This includes the creation of standardized procedures for data flows, efficient data integration between Slowflake and other third-party tools.
We also have consultants with data science experience, BI developers and analysts to create custom data models and integrations with Snowflake. We will identify your opportunities to improve, speed up and innovate the data models. We build our clients data processes, pipelines, workflows, dependencies, data structures and data transformations. Our consultants also have experience with Hadoop, Spark and other data analytics and warehouse tools.
Metahorizon experts have full competency of the Informatica Intelligent Data Management Cloud (IDMC) to provide our clients with complete, comprehensive cloud-native and AI powered data management capabilities, including data catalog, data integration, API and application integration, data prep, data quality, and a data marketplace, on a foundation of governance and privacy.
With IDMC and their AI and machine learning (ML) engine, CLAIRE ®, we provide for your systems full intelligence and automation, based on a modern, elastic, serverless microservices stack to connect data consumers to the data sources that is needed. It enables us to intelligently discover and understand all the data within and outside our client's enterprise, access and ingest all types of data wherever and whenever it is wanted and curate as well as prepare data in a self-service fashion so that it is fit for use, and deliver an authoritative and trusted single view of all your data. With IDMC we perform the cloud-native data management of many of our customers.
Metahorizon's skilled ETL developers design and fill a data warehousing environment for our clients. All our projects include consulting with the data management team, reviewing the storage needs of the client, creating a data warehouse, extracting data from the company servers, filling the warehouse, and testing it upon completion.
MetaHorizon consultant's get the big-picture idea of our client's data storage needs and present our clients with data warehousing options based on the specific storage needs. Of course, we deliver also the designing and coding of the data warehousing system to the desired specifications.
All our developers have extensive knowledge of coding languages, including Java, XML, and SQL, proficiency in warehousing architecture techniques, including MOLAP, ROLAP, ODS, DM, and EDW.