DataLake 5.0 : Continued evolution, How to cut cost, unlock data and increase reliability
Briefly

from New Relic2 months ago
Enterprise Data Warehouses (EDWs) have evolved from SQL-based systems to next-generation cloud and big data solutions, enabling adaptability to larger data challenges and performance demands.
New Relichttps://newrelic.com/blog/best-practices/datalake-50-continued-evolution-how-to-cut-cost-unlock-data-and-increase-reliability
The transition from first-generation EDWs, reliant on SQL databases, to second-generation systems like Teradata and IBM Netezza, marked a significant shift in data processing capabilities.
New Relichttps://newrelic.com/blog/best-practices/datalake-50-continued-evolution-how-to-cut-cost-unlock-data-and-increase-reliability
Hadoop revolutionized the big data landscape by introducing open-source MPP capabilities, although it came with challenges related to setup and management, paving the way for cloud EDWs.
New Relichttps://newrelic.com/blog/best-practices/datalake-50-continued-evolution-how-to-cut-cost-unlock-data-and-increase-reliability
The rise of cloud-based solutions like Snowflake and Databricks aims to simplify data management complexities while enhancing speed and scalability, reflecting a dynamic evolution in EDW technology.
New Relichttps://newrelic.com/blog/best-practices/datalake-50-continued-evolution-how-to-cut-cost-unlock-data-and-increase-reliability
Read at New Relic
#enterprise-data-warehouses #big-data #cloud-computing #data-analytics #hadoop
[
|
]