SnowFlake - The Data Warehouse Built For The Cloud
Snowflake is a data-warehouse-as-a-service, built from the ground up for the cloud. Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake’s patented multi-cluster, shared data architecture separates storage and compute, making it possible to scale up and down on-the-fly without downtime or disruption. With built-in performance, there’s no infrastructure to manage or knobs to turn. Snowflake automatically handles infrastructure, optimization, availability, data protection and more. Snowflake’s patented technology natively loads and optimizes both structured and semi-structured data such as JSON, Avro, or XML and makes it available via SQL without sacrificing performance or flexibility.
In this talk, Venkat will present an overview of snowflake. He will also demonstrate various functionalities of snowflake and its ease of usage.
Snowflake in Spark Ecosystem
In this presentation Kumar plans to:
1. Spin up an Azure Databricks Spark Cluster. Azure Databricks is a Spark Cluster for in-memory processing of large datasets with support for Python, Scala, R, and SQL, as well as TensorFlow, PyTorch, and Scikit-learn.
2. Show how to connect to a Snowflake data warehouse from an Azure Databricks cluster, read data from it and write to it.
Please note, this event is being sponsored by Hashmap .