Running real time data injection and multiple concurrent workloads on HBase clusters in production is always challenging. There are multiple factors that affect a cluster’s performance or health and dealing with them is not easy. Timely, up-to-date and detailed data is crucial to locating and fixing issues to maintain a cluster’s health and performance.
When building and running an organization, it's critical that you trust your data. A statistic that shocked me recently was that 84% of CEOs don't trust the data they’re basing their decisions on. While it’s a common problem, it’s one that’s actually easy to fix.
Today, Unravel announced a new cloud migration assessment offer to accelerate the migration of data workloads to Microsoft Azure, Amazon AWS, or Google Cloud Platform. Our latest offer fills a significant gap in the cloud journey, equips enterprises with the tools to deliver on their cloud strategy, and provides the best possible transition with insights and guidance before, during, and after migration. Full details on the assessment and business value are detailed below in our announcement below.
There's been a lot of discussion around the proliferation of data sources in organizations, and for good reason. There are so many ways to consume data now. When I first started working we would send out paper reports. Then Excel came along and we started sending out spreadsheets. Then organizations tried to control things a bit more, so dashboards were created. While there are more new channels to receive data, none of the older ones have become obsolete.
AI and its enabled tools continue to enthrall business with its promise of efficiency and innovation. But, one of the things AI is also clearly enabling is the bias. We’ve all read the news and heard the scaremongering stories around potential flaws and biases in Artificial Intelligence systems. I believe for this technology to reach its full potential, addressing bias will need to be a top priority.
