We’ve published two more case studies, featuring Job Rapido and Supercell. These are compelling examples of innovative companies that use the HP Vertica Analytics Platform to gain a competitive edge and dervive maximum business value from Big Data. The two summaries and respective full case study PDF’s provide details about each company’s goals, success, and ultimate outcomes using HP Vertica. To see more like these, visit the HP Vertica Case Studies page.
Jobrapido scales its database
to the next level
Since its founding in 2006, Jobrapido has become one of the biggest online job search aggregators in the world, helping millions of users everywhere from Italy to the United states find the job that’s right for them. In 2012, they were acquired by Evenbase, a part of DMG media based in the UK. HP Vertica has proved invaluable to their success, performing above and beyond for their big data analytics needs. David Conforti Director of BI at Jobrapido describes HP Vertica as “like having a sort of magic mirror to ask to all the business questions that come to my mind,” one that has allowed him and his team to deliver their users both valuable insight and results, and a unique personal experience based on their analytics.
In 2012, Supercell delivered two top-grossing games on iOS with the titles “Clash of Clans” and “Hey Day,” just a year after its founding in 2011. Using HP Vertica big data analytics platform, Supercell has been able to engage in real-time gaming data analytics, allowing them to balance, adapt, and improve their gamers experiences on a day to day basis. “HP Vertica is an important tool in making sure that our games provide the best possible experience for our players” says Janne Peltola, a data scientist at Supercell. Using HP Vertica, Supercell is able to create gaming experiences that are fun and engaging for customers to keep coming back to, long after they have started playing.
Since the early days of data warehousing and the heyday of Ralph Kimball, data warehouse practitioners recognized the use of pre-computed aggregates to be “the single most effective tool the data warehouse designer has to improve performance” (footnote 1)., However, there was then, and continues to be, a gaping hole in the dimensional modelling approach concerning distinct aggregates, and in particular what to do about COUNT(DISTINCT x).
Let’s say that you want to count the number of distinct users who visit your website each day, each week, and each month. You can solve this problem using a pre-computed aggregate. However, the number of distinct users who visited each week cannot be computed from the number of distinct users who Read More »
I’ve had the privilege of attending the Data Warehouse Institute’s (TDWI) conference this week. The Las Vegas show is usually one of their biggest gatherings. This year, there were about 600 of us gathered together to talk about the latest and greatest in the data warehouse and business intelligence world. HP Vertica was a sponsor. The latest buzz was around many of the new data discovery tools that were announced by some vendors. Vendors recognize that there is a significant amount of undiscovered data in most businesses. As data warehouse teams go merrily along delivering daily analytics, piles and piles of dark data builds within that might have value. To innovate, users are recognizing that some of this unexplored Read More »
In December 2013, we introduced HP Vertica Flex Zone with the HP Vertica 7 “Crane” release. HP Vertica Flex Zone gives you the power to quickly and easily load, explore, analyze, and monetize emerging and rapidly growing forms of structured and semi-structured data, such as social media, sensor, log files, and machine data. You can use your favorite industry-standard business intelligence (BI) and visualization tools to explore Flex Zone data in HP Vertica without creating schemas upfront.
We created the HP Vertica Flex Zone demo video based on a common real life scenario of an HP Vertica Flex Zone customer. It showcases how you can tackle the typical challenges dealing with semi-structured and structured data coming from disparate sources, be Read More »
With HP Vertica’s latest release (HP Vertica 7 “Crane”), we introduced HP Vertica Flex Zone, based on the patent-pending flex tables technology, which dynamically adapt to whatever schema is present in the data. Flex tables offer dramatic usability improvements over regular tables. In this post, we take a look under the hood and show how flex tables are similar to regular Vertica tables, with a little pinch of magic thrown in.
The Tour Starts with Storage Let’s take a peek at a flexible table:
HP Vertica Pulse allows you to analyze Tweets automatically, scalably, and in-database so that you can:
understand the top-of-mind topics for your community and the sentiment associated with those topics. combine results with other business data already stored in Vertica identify advocates and detractors analyze how sentiment changes over time view high-level aggregate results as well as low-level comments customize results for your domain.
Below are some visual examples of how HP Vertica Pulse can help you to make meaning of your data. In this case, we used Read More »