Businesses are inundated with data today in all areas, from operational and financial to industry, benchmark, and social media. As a business owner, your challenge isn’t going to be the shortage of data, but rather in knowing what to do with it. You will need to be able to leverage that data as an asset.

Evolving Cloud Data Warehouse Technology

Cloud data warehouse technology is constantly evolving, and this means that the updating of your data warehouse is critical to ensure that your enterprise will always have access to the data and analytics you need to compete.

Traditional ETL tools can be hard to put into use and often lack the automation that is needed to reduce the time, cost, and risk of data warehousing projects, so you will want to work with modern and progressive tools that will help you achieve your update by accelerating and simplifying your data warehouse design, development, testing, and deployment.

Your business will benefit from faster, updated data warehouse implementation, and when design is automated, this allows structures to be quickly defined and deployed. ETL automation that generates 80% or more of ETL commands will help to significantly reduce the time and resources required for implementation.

Modernizing Your Data Warehouse

Modernization of your data warehouse will enable your data warehouse environment to meet changing business requirements and will also give your business support for new data sources.

Your data warehouse is an important part of your data management. A central repository of information that your team can analyze to make the best decisions possible, the data flows into the warehouse from relational databases, transactional systems, and other sources. Decision makers and analysts access that data and sort through the information to gain insight into your business. Keeping your data warehouse on the cutting edge is vital.

Your data warehouse consists of three tiers. The bottom tier of the architecture is the server where data is loaded and stored. The middle tier is made up of the analytics engine that accesses and analyzes the data, while the top and final tier is the front-end client presenting your results by reports, analysis, and data mining tools. Ensuring that your data warehouse is as modernized as possible will be an important feature to the success of your business venture.

Some features of a modernized data warehouse are:

  • Co-exists with data lake and Hadoop
  • Agile delivery and advanced analytics
  • Larger data volumes with a variety of data sources
  • Bimodal environment
  • Scalable architecture
  • Promotion of self-service solutions

And the benefits of a modernized data warehouse can be:

  • Better decision-making
  • Data that is consolidated from many sources
  • Quality data that is accurate and consistent
  • Access to historical intelligence

The modern data warehouse will provide a governed version of multiple corporate data sources which provides users and analysts with a simplified data model for critical decisions. The data has been groomed so users see quality data that has been validated while historical data that once was lost in source systems is now recorded, enriching your data. Simplified navigation and improved query performance are remaining, and welcome, features, and because the function is to enable business decisions, it is suggested that it be managed by business users instead of IT personnel.

A modernized data warehouse will be an important part of your cutting-edge business strategy.