A modern data warehouse uses next-generation technology for automation. It relies on advanced design patterns and processes to automate the planning, modeling, and integration steps of the entire lifecycle of data sets in industries.
Improved data management is made possible by newer data warehouse technologies like cloud-based data warehouses (like Snowflake and BigQuery), massively parallel processing (MPP) databases, and in-memory databases (like SAP HANA). Scalability, real-time analytics, and cost-effectiveness are all provided.
Benefits of New Data Warehousing Technology
Companies require additional resources and people to process enterprise data Modern Data Warehousing Solutions to Consider
A superior solution for companies is the integration of existing on-premises data warehousing with data lakehouse solutions using data fabric and mesh Best Practices For Adopting Data Warehousing Technology
Data warehouses are at an exciting point of evolution Cutting-Edge Technology to Keep Up with Constant Change
AI and other breakthrough technologies will propel organizations into the next decade About The Author
John Thangaraj is a senior brand technical specialist with more than 17 years of experience