Andrew Lampitt
Shopzilla buys into big data for inventory management
How VoltDB handles terabytes of daily updates, with up to 100,000 database writes per second, for Shopzilla's online comparison-shopping service.
Shopzilla buys into big data for fast meta-shopping
VoltDB handles terabytes of daily updates, with up to 100,000 database writes per second, for comparison shopping service
NoSQL helps push the envelope of online advertising
Powered by the Aerospike NoSQL database, Acuity's real-time advertising exchange serves the right ads to the right eyeballs in record time
The real story of how big data analytics helped Obama win
HP Vertica played a major role, as did an org structure that centralized analytics and lowered barriers between teams
Twitter's programmers speed Hadoop development
To analyze enormous volumes of metadata and messages, Twitter turned to Hadoop with Cascading, which vastly simplifies MapReduce programming while letting developers code in the JVM language of their choice.
Evernote buys into big data analytics for a song
To collect and analyze data on 200 million daily events, Evernote transitioned from a MySQL data warehouse to a hybrid environment of Hadoop and ParAccel.
Big data publishing gets the royal treatment
How the MarkLogic NoSQL database guided the U.K. Royal Society of Chemistry into the twenty-first century, making 170 years of educational content available to the public.
Giving big data publishing the royal treatment
U.K. royal society jumps into 21st century with the MarkLogic NoSQL database, opening 170 years of content to public view
Powering real-time marketing with big data analytics
Data integration, columnar database solution enable marketing agency to crunch hundreds of terabytes, deliver 360-degree view of customers
General Electric lays out big plans for big data
Drawing on sensor data collected by GE industrial products, a new wave of analytics will create vast opportunities across a range of industries
Astronomers crunch big data to map the galaxies
The first cloud analytics platform for astronomy uses machine learning to process hundreds of terabytes of imagery and metadata