Featuring Analyst Dave Wells, Eckerson Group
There has been a technology revolution in the past five years that has dramatically changed the way organizations design, deploy, and manage data-delivery and analytics systems. Hadoop, NoSQL, and the cloud have ushered in a new era of scale-out, elastic, and real-time computing while new data preparation, catalogs, and analysis tools powered by advanced machine learning and search technologies have empowered business users to find, ingest, transform, analyze, and share data with minimal assistance from the information technology (IT) department.
The modern analytics ecosystem is an agile, adaptable, living environment. Like a "smart factory" or "smart building,” a modern analytics ecosystem automatically detects changes in data inputs or outputs and responds in real time, updating metadata, data models, and reports as needed with minimal human intervention. The intelligent platform makes it easier for organizations to ingest large volumes of diverse data quickly and transform that data into consumable blocks that can be combined, updated, and repurposed by data-savvy business users who build and consume tailored, interactive views of business information.
This webinar with the Eckerson Group discusses how the traditional world of data warehousing and business intelligence has been flipped upside down. Instead of serial data pipelines of relational data managed, modeled, and batch loaded exclusively by IT, the modern analytics ecosystem supports multiple, iterative real-time data flows designed by data engineers and data analysts close to the business. The result is an agile, adaptive, self-service environment that delivers high value to data-driven organizations.