What is Ovatio's consulting services process?
Leveraging big data and advanced analytics is a revolutionary methodology that takes experimentation and an agile mindset. We begin with determining what your goals are, understanding the value your data provides, and identify any present challenges. To best prepare your data and implement advanced analytics, we use a comprehensive four-step approach:
Step 1: Ingest
We ingest data from a variety of sources, including batch and streaming data using the following:
- Azure HDInsight allows us to ingest data at scale in real-time
- Azure Data Factory enables us to ingest structured and unstructured batch data at scale, in addition to orchestrating your data preparation processes
We take in and store disparate data that’s being ingested regardless of data volumes, variety, and velocity.
With Azure Blob Storage, we can build data integration pipelines that span on-premises and cloud
Step 2: Store
Step 3 - Prep & Train
We cleanse, prepare, and train your data using Azure Databricks. Databricks enables us to collaboratively build and test ML and AI models in the fastest Spark environment.
We model and serve this prepared data to your applications, bots, and agents using:
- Azure Cosmos DB offers low-latency for massively scalable applications
- With Azure SQL Data Warehouse, we can easily integrate with leading BI solutions, such as Power BI