The potential of “big data,” the massive explosion of sources of information from sensors, smart devices, and all other devices connected to the Internet, is probably under-appreciated in ...

So, in the big data space, a converged architecture will in effect productize Hadoop by using the raw open source components, adding what’s missing, and then productizing the integration to ...

Srinivasa Sridhar Kavikondala is a seasoned technical architect specializing in data warehousing and cloud solutions, based ...

Identify big data or large, distributed systems. Know when and when not to use big data. Practice software engineering fundamentals. Create an application that uses rest collaboration, event ...

Lambda Architecture proposes a simpler, elegant paradigm designed to store and process large amounts of data. In this article, author Daniel Jebaraj presents the motivation behind the Lambda ...

As data warehouses grew, it was realized that there needed to be flexibility in the design of the data warehouse and in the improvement in the integrity of data. Thus born was the “Data Vault.” With ...

Specialization: Software Architecture for Big Data Instructor: Tyson Gern and Mike Barinek Prior knowledge needed: Software engineering or big data experience View on Coursera Learning Outcomes ...

Building big data strategies that not only excel at real-world data analytics tasks in real-time applications, but also mesh with existing enterprise application architecture strategies is an enormous ...

Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing ...

Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.