Snowflake Data Lake

1. Data Lake Architecture of Cloud-based Snowflake

2. Data lakes are repositories of high volumes of data in a structured, semi-structured, or structured format which can be extracted anytime to analyze the functioning of an organization. Data lakes have, in the past, existed in various forms such as data warehouses, data marts, and more. But with the advent of cloud-based Snowflake, such multiple silos are no longer required. This is very useful for businesses as all data is available at one single point and being holistically able to manage tables and JSON data. 

4. There are several unique features of Snowflake Data Lake, but the most important is workload isolation. Snowflake auto isolates workloads into sub-sections and then allots the bulk of the resources to the most voluminous and critical ones. The performance of the data lake, therefore, stays constant and there is no slowing down even when organizations face a sudden surge in demand for data computing and storage resources.  • Snowflake Data Lake has the following features that help to optimize its performance.  · Data queries, even the most complex ones, and loading of data can be simultaneously carried out without any drop in speeds. · Multiple users can work on multiple workloads without facing any performance degradation. · Flexible scaling up and down in data storage and computing resources by paying only for the volumes used.

5. · Offers an optimized shared-data and multi-cluster archite4cture. · Provides a strong metadata service that meets the specific requirements of the object storage environment • These cutting-edge and exclusive features of Snowflake Data Lake make it the most preferred option for data management in the modern business environment. • However, there are other user-friendly aspects too of Snowflake that enables it to be a leader among cloud-based platforms and datawarehousing solutions.  · Flexible storage resources - Snowflake Data Lakeprovides not only highly scalable storage resources but affordable rates also. Users pay only for the quantum used at the base cost of Snowflake cloud providers: Amazon S3, Microsoft Azure, and Google Cloud. · Flexible computing resources - Snowflake provides scalable computing resources and multiple users can execute intricate queries without any speed lag. When there is a spike in demand, Snowflake auto-adjusts to the increase. Here also, payment is in direct proportion to the resources used. · One-point data storage – Snowflake Data Lake allows single point huge volumes of data ingestion of both structured and unstructured data. It includes JSON, CSV, ORC, tables, Parquet, and more. The data lake does away with the need for maintaining different data silos.  · Assured data consistency – Snowflake Data Lake ensures that data can not only be used as per need but also cross-database links with multiple-statement transactions can be carried out.  These many benefits have given a cutting-edge to businesses to implement an optimized data management strategy without any lessening of speed or performance. Most importantly, Snowflake Data Lake assures a high degree of safety and data security as well as an optimized speed of operations.