What is a Data Science Platform?

Jul 06, 2018 by Stephen J. Smith in Predictive Analytics Trends

ABSTRACT:

Data science has gone from exotic new tech to mainstream business in a relatively short time period. To make this transition, the products that enable it have progressed from powerful standalone tools to seamless and integrated platforms. But what is a platform? What does one look like for data...

Future Data Architectures: Musings from 2018

Jul 06, 2018 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

Several recent clients have stretched us into thinking about how current data and analytics technology advancements will evolve in the future. From processing data in place and stack convergence to semantic layers and open source software, we will see drastic changes in data and analytics...

The Complexities of Modern Data Pipelines

Jul 04, 2018 by Dave Wells in Data Management

ABSTRACT:

Data pipelines become chaotic with pressures of agile, democratization, self-service, and organizational “pockets” of analytics. From enterprise BI to self-service analysis, data pipeline management should ensure analysis results are traceable, reproducible, and of production strength. Robust...

Data Observability - A Crucial Property in a DataOps World

Jul 02, 2018 by Julian Ereth in Cutting-Edge Analytics

ABSTRACT:

Managing complex data landscapes can be hard. Approaches like DataOps help reduce complexity while increasing quality and agility. However, a successful implementation of DataOps requires a constant overview of the data landscape. This article discusses how observability, an emerging trend in the...

DataOps: Industrializing Data and Analytics

Jun 30, 2018 by Wayne Eckerson and with Julian Ereth in Cutting-Edge Analytics

ABSTRACT:

This report will examine the role of DataOps in BI, analytics, and data management.