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To make the move to big data / cloud, you’ll need to confront the complexity of transforming Netezza warehouse workloads. Manual identification and transformation of EDW, ETL, analytical and reporting workloads is complicated, tedious, time-consuming, and error-prone. Download our solution brief to learn more about how we are simplifying that effort.
Data-driven decision making is changing the way businesses operate, and the data warehouse is at the core of an enterprise’s big data and analytics strategy. Existing data warehouses are neither easily scalable to accommodate exploding data volumes nor analytically flexible for business users and analysts.
As the traditional data warehouse falls short of today’s business requirements, there is a driving need to move to a cloud, on-premise, or hybrid big data warehouse environment. It is essential that we also eliminate the data silos that exist today and bring together enterprise-wide data to create a comprehensive single source of truth across the business.
This solution brief describes how you can:
Ever-increasing data volumes are fast outgrowing existing data warehouses. Enterprises are looking at offloading data and processing to a big data environment to address the challenges of existing data warehouses.
A comprehensive Assessment to identify database workloads, users, and applications for offloading is the first step in the journey to a modern big data warehouse. This document explores why Assessment is critical to your enterprise data warehouse migration strategy.
Download the IDW Assessment brief to learn: