Is It Too Late For Oracle to Enter the Cloud Analytics Space?

So Oracle has officially entered the cloud analytics space. Building off the announcement at Oracle Open World last fall, yesterday they officially released their autonomous data warehouse for the cloud. And it’s a big deal for them. Built on their latest 18c database, the autonomous data warehouse brings the potential for a new level of simplicity. It leverages machine learning to ensure constant uptime by automatically (hence “autonomous” everywhere in their announcement) protecting, securing, and repairing the database. On top of the promised simplicity, they tout the ability to lower costs and perform faster than the competition. OK, Oracle, well played. I’m intrigued, maybe even a little excited, but the reality is that Oracle is still behind. They (self-admittedly) lost the cloud infrastructure war, and I’m nervous that they could lose this one too if they don’t play their cards right.

Topics: Azure Data Management Oracle data warehouse AWS google cloud platform Cloud Platforms & Services

Google Next: An Enterprise Awakening for Google Cloud

When I talk with companies and vendors about public cloud, Amazon AWS and Microsoft Azure are always at the forefront of discussion. Right behind them is always a discussion of Google Cloud. Google Cloud is separate from the other two because everyone expects that Google will become a force in enterprise IT but the question is when and how. I think that we have now seen the enterprise cloud awakening of the slumbering giant called Google.

This week is Google Cloud's Next 2017 conference in San Francisco and I've seen a number of key shifts in Google's strategy in enterprise IT. This can be broken out into several areas:

Topics: google cloud platform Systems Management Google Next Cloud Platforms & Services

Delta-V Awards - 2016 Edition - The Top Five

Ladies and gentlemen, data scientists of all ages, here is the big finale to 2016. The ne plus ultra companies that have accelerated and improved their positions in the big data and analytics marketplace. It's been no easy task to select, much less rank, all the top 20. I'd like to also note once more that there are many, many other worthy companies ticking right along and executing on their vision, earning new customers, and generally succeeding. And yes, it's all a bit subjective, but I truly believe these are ones that have made the most progress. Here are my final five choices:

Topics: Data Management google cloud platform

Google's journey to the enterprise

Google’s premier cloud infrastructure event, GCP:NEXT 16 was held a few weeks ago in San Francisco. The event represents a concerted effort by Google to explain how they are bringing cloud computing innovation to the enterprise. Google invited a large number of press, media, and analysts to the event for the first time, clearly signaling a determined effort to drive a high level of visibility around three core tenets for why customers choose Google: value, risk, and innovation. These three tenets comprise the DNA of Google, and are readily visible across their stack from their underlying infrastructure up through GCP and its growing array of services.

Topics: google google cloud platform