eBook
eBookModernize Hadoop to Icehouse
Technical guide for on-premises and cloud modernization of Hive/Impala, HDFS, and Hive tables
Hadoop has been a cornerstone for handling large-scale data processing. However, with the emergence of more performant and efficient on-premises big data analytics hardware and software, cloud-native architectures and the demand for more agile and efficient data handling, organizations are shifting towards open data lakehouse architectures. Starburst, leveraging the power of enhanced Trino, presents a cutting-edge solution to meet enterprises where they are in their Hadoop modernization journeys.
Who this eBook is for:
- Data and analytics platform administrators
- Data engineers
- Data & analytics leaders
What you’ll learn:
- The intricacies of modernizing Hadoop infrastructures with Starburst
- How to approach modernization in three phases – engine upgrade, full on-premises modernization, and a cloud data lake centric model
- A comprehensive understanding of the process, cost implications, and benefits