Data Analytics is made possible with an abundance of tools such as Tableau, Databricks, and AWS Analytics services (i.e., Kinesis, Elasticsearch) that make use of Big Data repositories. As more and more companies are building Analytics tools, some of the pioneer companies are becoming well known with their technologies, such as Databricks and Snowflake that created a unified Analytics platform in helping build data warehouses on the cloud for Data Analytics and Data Visualization purposes. For example, Databricks provides the ability for developing scalable AI projects to process large amounts of data reliably and Snowflake provides elasticity of a cloud-based data warehouse. Satsyil has experience in building Data Analytics projects using thousands of terabytes repositories; we have incorporated tools such as Databricks, Snowflake, Tableau, Kafka, AWS, Azure, along with implementing AI Tools (e.g., TensorFlow). We have deployed Big Data & Analytics for data mining (of a large dataset to identify patterns and relationships), Deep Learning and Predictive Analytics.
