The Mutant Monitoring System series has come to an end. In this post, we will summarize each day of the training series and explain what readers can learn.
AdGear joined us at the Big Data Montreal meetup and we discussed Real-time Data at Scale and how we helped them achieve their goal of 1 million queries per second.
In this installment of the MMS series, we look at the features of the Mutant Monitoring Web Console written in Node.js and how it works.
In this installment of the MMS series, we take a look at how to store binary blobs into a Scylla cluster using the Java programming language.
Division 3 now wants to dive back into data analytics to learn how to prevent the attacks. In this installment of the Mutant Monitoring series, we take a look at how to use Apache Spark, Hive, and Superset to analyze and visualize data from the Mutant Monitoring System.
Numberly is a leading programmatic advertising firm that helps brands collect and activate consumer data across digital channels. The company’s multi-platform, multi-device, multi-format solutions include real-time bidding, targeted display advertising, CRM program and an advanced data management platform. A big part of Numberly’s service offering is helping clients make sense of multiple sources of data to build and improve their relationships with customers and prospects. Alexys Jacob-Monier, Numberly’s Chief Technology Officer, wrote a blog post about evaluating and choosing the right NoSQL data store, in which he explains, “Our line of business is tied to our capacity at mixing and […]
In this installment of the MMS series, we take a look at Materialized Views. Material Views automate the tedious and inefficient work that must be done when an application maintains several tables with the same data that’s organized differently.
A web-based photo-sharing and printing service, Snapfish is dedicated to helping people transform their photos into beautiful personalized objects, such as photo books, mugs, prints and gifts that can be shared and treasured. On a typical day, Snapfish handles more than 1 million uploads. During the holiday season, that number can easily quadruple. These real-time numbers are compounded by backups, which have to move 40 billion files a year via 80,000 simultaneous reads and writes per minute, without impacting production workloads.
Prepared statements enable developers to optimize their applications more efficiently. In this installment of the Mutant Monitoring Series, learn how to use prepared statements with the Java Cassandra driver on a Scylla cluster.
Division 3 decided that we must use more applications to connect to the mutant catalog and decided to hire Java developers to create powerful applications that can monitor the mutants. In this post, we will explore how to connect to a Scylla cluster using the Cassandra driver for Java.