“With advance warning of logging activities, our partners on the ground will be able to take appropriate action faster, and potentially save more trees and animals.”
CEO and Founder, Rainforest Connection
Larger data repositories that provide the greatest ease and largest capacity for storing nearly any type of data format. Data lakes are often the first repository in a data stack, receiving the influx of all raw, semi-structured, and structured data.Explore All Frequently Asked Questions
Enterprises gain significant business insights from their data which can be leveraged to get a foothold over their competitors. With the increasing costs of collecting and processing Big Data sets, and to stay ahead, they turn to data lakes.
Data lakes are broader data repository systems with data ingestion as a primary concern over data analysis. Though analytics are developing around data lakes, data lakes are highly inclusive, accepting all data types and supporting all users.
The journey to build your data lake could take anywhere from 3 months to implement basic functionality, and up to a year to implement it with advanced analytics and machine learning using a leading cloud provider.