The preeminence of data science was inextricably linked to the emergence of big data. Combining business savvy, analytics, and data curation, this discipline was hailed as an enterprise-wide savior for the rapidity of the disparate forms of big data that threatened to overwhelm it.
Numerous developments within the past several months, however, have created a different reality for big data and its future. Its technologies were refined. The self-service movement within the data sphere thrived. The result? Big data came to occupy the central place in the data landscape as critical elements of data science – preparation, analytics, and integration – became automated.
Thanks to the self-service movement’s proliferation, even the smallest of organizations can now access big data’s advantages. “There’s been a lot of discussion about self-service…and having data analysts get at the data directly,” MapR Chief Marketing Officer Jack Norris said. “But you also have to recognize, what do you mean by ‘the data,’ and what has to happen to ‘the data’ before that self-service takes place?”
Via Ashish Umre