How did companies like Facebook and Airbnb get so big so fast? What can we learn from them? Why is data so important for growth? Nancy Hensley, Director of Strategy & Growth for IBM Hybrid Cloud, has the answers in this episode of Making Data Simple.
There is a growing need for versatile, hybrid architectures that can combine the best of both data warehousing and big data analytics. The cloud is the perfect solution, because it makes it easier to build a robust data warehouse as a central “hub”, and then add other environments that can be
If you’re looking to make your business data-driven, then you already know the paramount importance of modernizing your data architecture and its response capabilities. Accordingly, in your search for the ideal approach to delivering analytics for decision making, have you considered data
How do you handle your semi-structured data? In this whitepaper from IBM Cloud Data Services, find out how keeping your data warehouse on the cloud can help you gain the competitive advantage by freeing valuable resources.
The world of data has faced incredible changes over the past few years, and organizations are struggling to keep up. In this shifting landscape, we've found that flexible deployment options—and cloud-based data warehouse solutions—might offer answers to IT professionals.
Graph database technology powered by open source initiatives is helping fraud detection units catch intruders in the act of breaching data security. Tune in for an enlightening discussion of how modern approaches to analytics are bringing descriptive and predictive analytics together to help stop
Never has the impossibility of a one-size-fits-all solution been more apparent in computing than in the field of data warehousing. Instead of trying to shoehorn data into a data warehousing solution so general as to be ineffectual, look to hybrid capabilities to supply answers tailored to your data
In 2016 and beyond, the data warehouse will continue to be relevant, but the new requirement will be for hybrid data warehouse solutions. As organizations strive to be more data-driven, new types of analytics are coming to the forefront. IBM has again been named a leader in the Gartner Magic
Since the relational database first came to be, back in the 1980's, there's been a need for organizations to continuously evolve their analytical architectures. A new report talks about how modern groups are getting their data and analytics architecture updated for a new century—and a new set of
Dealing with slow technology is a major concern for anyone who needs quick access to analytic insights. For this reason, it’s vital to have a data warehouse appliance with sufficient speed that allows all users to make the most of its analytic power.
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and saving time spent on implementation. Discover the four essential capabilities of a strong MDM solution and how they can help you
Data can be the lifeblood for empowering healthcare organizations to proactively enhance patient outcomes. See how two healthcare entities applied master data management to innovate successful healthcare initiatives.
Sorting through data inconsistencies, particularly in hybrid data, can add a slew of confusing definitions and contexts that impact productivity and efficiency. With more valuable metadata than ever before at their disposal, organizations need a comprehensive strategy for metadata that helps them
Ensuring that third-party data in hybrid environments meets the quality standards many organizations follow for maintaining trust and confidence in their in-house data is imperative. Check out best practices for preparing, maintaining and monitoring third-party data to help boost efficiency and