Upside


The 5 Foundational Characteristics of a Next-Gen Big Data Platform

An enterprise-grade, next-gen big data platform must exhibit five key capabilities and features in order to sustain innovation at the application layer.

Data Digest: Using Event Data, Open Source Myths, Unbiased Algorithms

Read these articles to learn how to manage disparate event data, bust major myths about open source software, and use improved algorithms to prevent bias.

Define Your Business Case for Streaming Analytics

For a successful streaming analytics project, first you need to identify which business processes can benefit. Use this list of questions to frame your business case.

Teradata Takes Aster to Hadoop, AWS, Accelerates Analytics for IoT

This week, Teradata announced four new Analytics Accelerators for IoT and made good on a promise to port its Aster discovery platform to Hadoop -- and to Amazon's AWS.

Data Digest: Big Data Curation, Big Data in Small Business, Skeptics of Big Data

Today learn how you can create more value by curating your data, what even small businesses with small amounts of data can learn from big data trends, and what characterizes someone prone to be skeptical of the hype around big data and analytics.

Boost Your Data-Driven Culture with Data Advocacy

Empower a data advocate to champion a data-driven culture at your organization.

Data Digest: Becoming Data-Driven, Customer Value from Big Data, Business-Focused Analytics Strategy

Read the steps to creating a data-driven culture, how successful marketing analytics creates customer value with big data, and how to adopt a well-managed analytics program.

Is Collaboration the Critical Success Factor for Data Science?

The members of a data science team need to collaborate with one another in real time, and data science start-up Dataiku claims to have the best tool for the job.

What's Holding Data Scientists Back?

Many people have the wrong mindset about data scientists according to Kon Leong, CEO of ZL Technologies. Without quality data management and collaboration from leadership, data scientists can't fulfill their purpose.