inside BIGDATA | Before selecting a data warehouse strategy, take these 3 steps

Before selecting a data warehouse strategy, take these 3 steps

Data, and the insights it provides, is the lifeblood of many organizations. That’s why it’s imperative that Enterprise Architects implement a data warehousing strategy that delivers value to their business and protects the company’s data.

In her recent InsideBigData article, How to Overcome Obstacles in Data Lake and Warehouse Strategies: 3 Best Practices for Enterprise Architects, Faction’s Enterprise Architect Kim Read elaborates on the three steps EAs should take for a successful data warehouse strategy and implementation.  Those three steps are:

1. Evaluate and select the appropriate tooling

2. How to weigh “build versus buy” criteria, and how that may have changed with today’s off-the-shelf capabilities of major vendors

3. Best practices for cleaning and maintaining reliable data

To read the full article, click here.

Additional reading: 

• Data Warehouses and Data Lakes in a Data-First, Cloud-First World

• Cheat Sheet