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 ...

An optimal big data storage architecture stores the data you need and archives what you don’t need right away at the lowest possible cost.

Lambda Architecture proposes a simpler, elegant paradigm designed to process large amounts of data. In this article, author discusses Lambda Architecture with the help of a sample Java application.

Paul teaches that a Big Data architecture is comprised of both unstructured data processing, Hadoop in the training, and structure data processing, Cassandra in the training. Messaging with Kafka ...

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 ...

In its announcement on 2/18, MapR made a strong statement about its vision of the right product to support use of big data in the business world. MapR’s product is its platform, a set of ...

This online data science specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. The first course introduces you to ...

Overcoming Big Data obstacles Make sure that the identified use case is appropriate for a Big Data solution. Highly structured and transaction-oriented data may be better served by a traditional DBMS.

As Big Data is diverted from static data lakes and put into motion, there have been promises of all-in-one solutions — unified architecture for all aspects of Big Data management. Andrea ...

One feature of the big data revolution is the acknowledgement that a single database management system architecture cannot meet all needs. However, the Lambda Architecture provides a useful pattern ...