I am excited to share that Gartner Inc. recently named Cazena in its Cool Vendors in DBMS report for 2016! We’re proud to be included in the research.
Each year, Gartner identifies "Cool Vendors" in key technology areas and publishes a series of research reports highlighting pioneering vendors and their products and services. This year, analysts named Cazena’s Big Data as a Service, along with four other vendors, in the report.
Strata+Hadoop World (Spring Edition) is just around the corner. This year, I’m speaking about best practices for enterprise adoption of the cloud for big data. Along the way, I’ll share some real-world stories from our collaborations with enterprises. The cloud project that looked easy, started great, and eventually took three years to production? My colleagues call it the IT zombie apocalypse. The innocent analyst who inadvertently caused the $57,650 AWS bill? Funny, if they’re not on your team.
You always remember your first…database. You didn’t quite know what you were doing and it was a bit awkward, but you figured it out and eventually ran your first query. Whether you built it, maintained it, used it or cursed it, I'm guessing that you have at least one memorable database in your past. Can you plot it on our new infographic below and share it?
Rob Ramrath is that rare breed - a long-lived CIO whose team is intimately involved in creating value for customers. Rob has led IT at Bose for 17 years, the last 10 as CIO. Survival and success required transforming his IT organization for the digital connected world. Rob and I sat down in his office to discuss what he’s learned over a remarkable career. Five lessons jumped out at me.
It can be hard to present the first session of the day at a tech conference, especially on day two, after the previous night’s parties. Frankly, I worried no one would come. On Twitter I threatened to bring my ukulele and sing parody songs about the cloud - “Rockin’ The PaaS-bah” or “IaaS a Rock” (IaaS an island?). But when a good crowd of attendees streamed in just before the start time, sans beers or concert t-shirts, I decided to stick with the planned presentation and spare them my songwriting skills.
In the 15th century, innovative Scottish farmers seeking a beer-alternative discovered distilling, a new way to harvest the life or “spirits” from barley. Malting, mashing, fermenting and boiling the grain produced a steamy cloud that rained down its concentrated essence into an alcoholic, amber liquid now known as scotch whisky. It was arguably the earliest-ever case of a new cloud producing positive, measurable value!
Earlier this week, our founder Prat authored an article on InsideBigData about planning for data lakes. He shared five big questions to consider. Experience tells us this is necessary. Far too many people jump into data lakes hastily, and not just as a justification to overuse water-related puns. It’s more often an excuse to splash around with Hadoop, which is an understandable impulse given all the hype.
It’s exciting to see Big Data as a Service, or “BDaaS” at its inevitably abbreviated, start to take off. Numerous media outlets have covered the trend’s potential and challenges. Social media (namely, Twitter) continues to share a Forbes article about Big Data as a Service by Bernard Marr, author and industry expert. Marr estimates an impressive $30 billion valuation of the market by 2021. Yet, he explained:
Last week, Michael Copeland of Andreessen Horowitz interviewed me and Peter Levine, General Partner at Andreessen Horowitz, on the topic of big data moving from on-prem infrastructure to the cloud.
It was a fun chat after we literally took over Peter’s office while he was attending a board meeting! In the interview, Peter, Michael and I discuss how:
We founded Cazena with a vision to provide Big Data on Demand: data made available for access and analysis simply and immediately. Today is an exciting milestone. After two years of development, we are officially announcing Cazena’s Big Data as a Service. This service essentially wires up enterprises for Big Data on Demand. Let me explain.