Is memory the new disk? If so, what does this mean for the future of database systems and persistence as we know it? Will all our data(bases) still belong to us? Dani Traphagen explores the key paradigm shifts currently impacting those Fortune 500 companies that view disk as a bottleneck. Dani explains how to optimize toward the cache, leveraging it for low-latency, highly available microservices architectures with the hot-and-fresh-out-of-the-kitchen open source project Apache Ignite.
Released in 2014 and top-leveled in 2015, Apache Ignite is a distributed in-memory cache and query engine built to work with large-scale datasets in real time. It recently drew attention with the addition of DML functionality to its SQL Grid. You can pair this cache system with many pluggable components, RDBMS, Spark, Hadoop Acceleration, and NoSQL DBs like Cassandra.
Is memory the new disk? You be the judge.
Dani Traphagen is a solution architect for GridGain, where she consults on high-tech caching architectures. Previously, Dani consulted at DataStax and led technical training internationally on Apache Cassandra and DataStax Enterprise. Her passion for teaching began while working in the Electrical Engineering and Computer Science department at the University of California, Berkeley, where she taught scientists technical skills, helped create a data science course, and raised awareness about the growing open science community. Dani has since volunteered with and generated training content for a number of organizations, including software carpentry, women in technology, rOpenSci, and GitHub. Earlier in her career, Dani worked in cartilage tissue engineering at the University of California, San Francisco, where her interests for heavy machinery, science, and code fused. If you don’t catch Dani behind a computer, you’ll often see her in the wild, backpacking, riding her bike, or climbing things. She also makes sure to keep the coffee business afloat in her hometown of Hermosa Beach.
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