Posts Tagged ‘Cassandra’

I see companies start down their Big Data/NoSQL journey with a Proof of Concept mindset and they almost always end up funding a science project by confusing early wins on established products with progress. Cassandra is ten years old and DataStax has 500 customers in 50 countries. This stuff works; what you need is a […]

I implement distributed persistence solutions for enterprises. For use cases involving highly-available, low latency processing, I typically use DataStax Enterprise. Apache Cassandra provides great persistence characteristics for a real-time, distributed transactional store. For real-time stream processing, I’m a Spark fan. Throw in Solr and graph, add in operational support, and I have all of my […]

I implement distributed persistence solutions for enterprises. For use cases involving highly-available, low latency processing, I typically use DataStax Enterprise. Apache Cassandra provides great persistence characteristics for a real-time, distributed transactional store. For real-time stream processing, I’m a Spark fan. Throw in Solr and graph, add in operational support, and I have all of my […]

Graph Theory: A graph is a pictorial representation of a set of objects where some pairs of objects are connected by links. The interconnected objects are represented by points termed as vertices, and the links that connect the vertices are called edges. Formally, a graph is a pair of sets (V, E), where V is […]

It’s been a busy year in the Enterprise Information Systems space. With over 75 posts this year, our in-house experts found themselves face to face with big changes and an abundance of great information to share. We sifted through that content and present to you the Top 10 EIS posts of 2015.   Ten | […]

The end of 2015 is fast approaching, with December looming just a week away. For most people, December is packed with the hustle and bustle of last-minute gift shopping, or end-of-year projections and budgets for 2016. Often in the sway of all this activity, many are so focused on the approaching New Year that they […]

Data modeling in Cassandra is a little tricky and requires a combination of science and art.  Think of the Cassandra column family as a map of a map: an outer map keyed by a row key, and an inner map keyed by a column key. Both maps are sorted. To maximize Cassandra’s capabilities and for long […]

As More companies’ debate on adopting a Big Data Solution. Some of the discussion that comes across is whether to use Hadoop or Spark, NoSQL database or continue using their current RDBMS. The ultimate question is “is this technology for us?”  NoSQL database are highly scalable, provide better performance, designed to store and process a […]

Doug Cutting – Hadoop creator – is reported to have explained how the name for his Big Data technology came about: “The name my kid gave a stuffed yellow elephant. Short, relatively easy to spell and pronounce, meaningless, and not used elsewhere: those are my naming criteria.” The term, of course, evolved over time and […]