The Appfluent Data Warehouse Optimization Assessment is your opportunity to gain an in-depth look at the inner

workings of your data warehouse. We review your data, workload and usage. The result? A recommended list of

data and processes to offload to Hadoop—a move that will drastically reduce the amount currently spent on your

traditional enterprise data warehouse.

Program Benefits

• Discover inactive data consuming storage and degrading performance

• Improve performance by finding resource consuming ETL/ELT processes

• Identify exactly which data and compute is best suited for Hadoop

Ideal Environment

• Data warehouse is Teradata, Oracle, IBM DB2 or IBM PureData (Netezza)

• Data warehouse size is 30 terabytes or greater

Program Overview

• Analyze of 2 – 4 weeks of data usage and workloads

• Discover unused and infrequently used data that is loaded (consuming CPU) and stored (consuming storage)

• Assess resource consumption by ETL/ELT workloads running on the warehouse

• Evaluate resource draining analytic applications that are batch, bulk, high latency to offload to Hadoop

Typical Assessment Insights

• As much as 50% of the data in the warehouse is unused / underutilized

• Approximately 5% of ETL/ELT queries consume up to 60% of total CPU

The Data Warehouse Optimization Assessment provides the means to create a plan to determine which specific assets

and processes to include in the initial offload to Hadoop. You will also have the details and insights needed to gain the

support of business stakeholders.

Get Started

Contact Appfluent Technology at sales@appfluent.com.

Data Warehouse Optimization Assessment