Why are most organizations replatforming and moving to a modern data warehouse?
Well, the world of business has changed. Business leaders are no longer guided by experts in the boardroom. Instead, they are guided by data serving up answers to questions, perhaps asked by experts who are in those boardrooms. Organizations want to be the first to know the answers, and agile enough to course correct. This requires direct and fast access to data and lots of it. This requires the elimination of silos. This requires a variety of options on how to query data, depending on who is asking the question. This urgency of access to data, to make the right decisions fast, is growing. Can traditional data warehouse systems keep up and satisfy organizations who want to become even more data-driven?
In addition, there is no longer just structured data to consider. Vast amounts of value are hidden in text data and log data. With the rise of “connected things” reporting back to organizations when and how products or items are being used, and when things start failing, there is a need for data processing at a much larger scale, with much higher granularity and variety of processing, and at a faster pace. Further, it requires flexibility to handle all these new types of data, together with structured data, not separately. How can existing data warehouse technologies adopt these data types fast enough, and scale efficiently, with the volumes needed to be ingested and processed in a timely manner?
Add to this the new types of users who seek direct and quick access to data, and wanting to run numerous experiments over data to find the right solution, model, or answer – ever faster – to serve a new demand in the business. How do you open up your data warehouse, safely and reliably, to 100s of concurrent users to self-serve their needs?
Lastly, how do you avoid having your Data Warehouse team swamped by requests and unintentionally becoming an organizational bottleneck for continued success and faster business growth, due to the weeks-to-month long process of on-boarding new data or providing data sets to new internal consumers – as well as growing need to serve data to external consumers as well?
If you are curious to learn the answers to these valid questions based on today’s data trends, please take a few minutes out of your valuable time and watch this short intro video to learn what you can do to not fall behind on the data warehouse modernization train – which has already left the station!