The Attunity Blog
Judging from the momentum from all of the big players, if you have a data warehouse, you will soon be asked if it is time to move to the cloud. This is a big decision. Most companies have been working for many years on their data warehouse, and are not going to move it anywhere or change how it works without good reason. So, the vendors are going to have to make a strong case to justify this move.
Research from EY, among many other data points, proves that data is the key to growth and competitive advantage in financial services. Learn how one National Bank overcame data growth and regulatory compliance challenges in the final post of the Dan Woods series.
The online travel industry continues to grow at a steady – albeit, conservative – pace. Forced to evolve alongside consumers, the industry’s future growth will be driven by technology investments that enable companies to better target users and deliver more customized services. That can only mean one thing: more data. In order to ensure success, online travel companies must better manage the data deluge. Read more to learn how one online travel company accomplished this.
The business keeps asking for more data, but more data doesn’t guarantee better analysis. The only thing more data guarantees is increasing data management costs. It’s critical that IT organizations learn how to make smart decisions about what data to keep – and what to offload to lower cost platforms. Learn more in post 4 of the Dan Woods series.
As data grows, the platforms that support it both increase in size and multiply because different platforms optimize different workloads. That’s why placing data on the right platform is critical to enabling enterprises to efficiently manage data. Successful enterprises are taking notice and realizing significant benefits by modernizing and optimizing data placement. Learn more in the third post in the Dan Woods, Attunity series!
Moving data, transforming data, and making it available to the business is a very expensive process. Given data’s rapid rate of growth – and the amount of waste in the current data management paradigm – it’s time that IT organizations and their solution providers transform the economics of data. Read the second post in the Dan Woods, Attunity series to find out more.
No one would deny that data growth is an unstoppable trend. But that’s not the issue. The real issue is how organizations can make big data meaningful when IT resources are shrinking. Find out more in the first post of the Dan Woods and Attunity series.
The growth in big data is awe-inspiring, and the number of data sources that companies are integrating is multiplying as well. But to get the value from big data, you need to be able to analyze it and analyze it fast, because freshness is critical across many businesses and use cases. If you can’t move data where you need it in a timely manner, it quickly becomes irrelevant.
In data-intensive businesses, there has always been a necessary evil – moving and syncing the data. Formatting issues, duplicates, and errors need to be weeded out before any real analysis can begin. The traditional approach to this is through Extract, Transform and Load (ETL).