The dictates of big data - its inner manipulations and trends-have defined the very form of the data ecosystem since the inception of these technologies nearly a decade ago
"The normalization of big data engendered the current preoccupation with statistical Artificial Intelligence, the mounting reliance on cloud architecture, and the viability of edge deployments of bountiful, streaming data.
It's become entrenched in the most meaningful dimensions of data management, implicit to all but its most mundane practices, and indistinguishable from almost any type of data leveraged for competitive advantage.
As such, current momentum in the big data space isn't centered on devising new expressions of its capabilities, but rather on converging them to actualize the long sought, rarely realized, time honored IT ideal of what Cambridge Semantics CTO Sean Martin termed 'interoperability. And, the more the data starts to support that, the more interesting that gets, too'..."
Successful data literacy training programs are never one-size-fits-all. Consider this expert advice to avoid common mistakes and design a data skills plan that works
"Recently, I was talking to the Chief Digital Officer of one of the oldest banks in America, which started its digital transformation journey in early 2019. This CDO had played a pivotal role in the bank's journey, bringing about a significant transformation in security, cloud migration, and overall master data management.
He was proud of the data team that had overhauled the bank's legacy infrastructure. The team had transformed the systems and processes and ensured that more data was being captured and made available for analysis. Dashboards were built to offer marketing data, customer data, customer support, and operational data all in one place..."