Let’s say you’re the Chief Technology Officer of a bank or retailer struggling to infuse AI that aims to improve customer experiences. You likely face three main challenges:
Data sprawl: Your customer data is currently on multiple clouds, including on-premises and a cloud data lake storage
The Academy Awards provided a great example of the challenges of data integration. The business output of the data integration processes in the award ceremony is the announcement of a winner in a specific category.
Data transformation doesn’t have to mean moving data away from its source. Rather, modern approaches to data transformation offer a range of advantages that can help enhance performance while heightening access to data.
Data is widely seen as the new source of competitive advantage, driving smarter decisions and helping enterprises outthink their rivals. But opportunities are often missed. Getting the data needed from multiple underlying systems can take far too long for application developers, business analysts
Volumes of data generated from a variety of sources can be a challenge to wrangle. Take a look at the advanced Design Data Flow beta capability of IBM Bluemix Data Connect that enables consumption of large data volumes from disparate sources, which can then be curated for deriving insights and
Beat the database migration status quo by adopting IBM Bluemix Lift, a self-service ground-to-cloud database migration offering that you can use to boost the speed, reliability and security of your database migration.
IBM Bluemix Lift makes it easy to quickly, securely and reliably migrate your database from on-premises data centers to an IBM Bluemix cloud data property. Try IBM Bluemix Lift, and read more from the offering manager.
Database migration is not any database administrator’s idea of fun—not even close. By far, the database migration status quo can be the least interesting and most dreaded part of the job. Check out an advanced self-service, ground-to-cloud database migration offering for handling database migration
In the highly competitive video game industry, keeping players engaged and loyal is crucial in capturing a major share of this lucrative market. Doing so involves using big data analytics to harness innovation and understand what players expect.
Data engineers have much to learn from water management professionals, who have mastered the art of keeping filtered water on tap—ready at a moment’s notice. As information volumes begin to deluge data repositories and outpace traditional approaches, data professionals must use every tool at their
For European insurers, the Solvency II Pillar 3 reporting deadline looms. These best practices guidelines can help insurance firms in the selection of a fast-track software solution to ensure compliance with Solvency II Pillar 3 reporting requirements.
While some observers may argue that Apache Spark is causing the relevance of the Apache Hadoop community to wane, the fact of the matter is innovative Spark development depends on Hadoop platforms. Discover why Hadoop is stronger than ever as an open source information refinery that is expected to