Think Economics -- Not Features -- When Evaluating Big Data Value

Traditional enterprise data warehouse solutions helped to open the eyes of many organizations to the value of their data. Although these are significant systems, organizations quickly learned to monetize the actionable insight extracted from these systems, which led the rampant growth of the industry. Big data did not get big just from data growth. It got big because of its potential value, opportunities, and savings.

The more cost-efficiently you can capture a lot of data, plus the number of ways you can analyze it, equals the more worthwhile all that data could become. Value is results divided by costs. These (pseudo-)equations of big data value now extend not only to the disruptive power of transformative technologies like Hadoop, but also to increasingly popular cloud services for databases and data warehouses.

Topics: Big Data Data Management google data warehouse economic value validation BigQuery

Google I/O Fascinates Developers, but How About CIOs?

Attending Google I/O you can instantly feel the inspiration and visually see the excitement from the developers. I quickly learned that long gone are my days programming COBOL!?!?! Creativity runs wild at the event and while it is easy to get excited about the innovation that Google splashes around, I try to snap a business lens on everything I see so I can start matching Google with the top IT and business priorities ESG captures in our research. This involves some creative thinking, but here it goes.

Let’s first start with the most creative piece--I need to give credit to Corey Latislaw for tweeting these fascinating and accurate notes. 

https://twitter.com/corey_latislaw/status/864940569843294208

Topics: google Enterprise Mobility artificial intelligence Google I/O

Will WannaCry Help Drive Google Chromebooks?

Microsoft Windows is prime target for cybercriminals, and the daunting cadence of patching places businesses at great risk. Factor in the unsettling thought that critical business systems still run on Windows operating systems that have reached EOL years ago. IT pros like to point the finger at Microsoft and, while one would think that exploits like WannaCry ransomware should negatively impact Microsoft’s credibility, the vendor is not likely going to be held accountable. However, the skyrocketing valuation of cybersecurity IT vendors as a result of WannaCry also has the potential to create a similar ripple effect for Google Chromebooks.

First, let’s agree that if a business system is written and designed around the Windows operating system, it’s likely going to involve an application migration and/or re-platform. Typically, projects like these are associated with a high cost of change that halts investment. Now, let’s factor in the race to the cloud for applications, data, business intelligence, and improved security. With this technology shift, the conundrum of an application being written to run locally on a client OS is diminishing—thus creating an ideal environment for companies to consider Google Chromebooks. WannaCry has indeed generated an opportunity for Google to:

Topics: Microsoft google Enterprise Mobility chromebook wannacry

The Google Machine Learns to Compete

Language can be frustratingly ambiguous. Or delightfully ambiguous. When you read the title of this blog, did you parse it as Google is a machine that is learning to compete? Or that machine learning will be how "the Google" competes? Both work, and both are true.

First meaning: there is clear evidence Google is making huge progress in cloud services to better compete against its rivals. Executives at the Google Next 17 conference cited a competitive win rate of 60% in the last quarter, with best results when the company gets a fair shot and customers dig deep into the technical differentiation. Sure, Microsoft is entrenched in most enterprises, and AWS has ridiculous momentum, but Google has invested $29 billion over the last three years to innovate in its own way. Many of the services' advantages are subtle but impactful, such as more granular billing for data warehouse consumption with BigQuery, custom configured compute instances, or the potential for API access to data services already within Google's domain. These have real benefits in reducing costs and increasing value of data.  Machine learning even helps Google be more efficient, like finding ways to reduce data center cooling costs by 50%. As ESG research shows the financial cost/benefit equation is still the top perceived advantage for cloud-based databases, then Google should win simply on price efficiency for compute and storage resources. See a past comparison of costs here. Assuming buyers take the time to understand this and don't default to their Microsoft sales teams or Amazon's DevOps audience dominancy.

Topics: Data Management & Analytics Data Management google machine learning

Google Touts Its Cloud Network

Some people may think all major public cloud providers are alike in their network capabilities. Amazon Web Services, Microsoft Azure, and Google Cloud offer direct connections between data centers and their cloud through AWS Direct Connect, Azure Express Route, and Google Cloud Direct Peering (or VPN), respectively. At a superficial level, all systems seem similar. In practice, there are significant differences between cloud networks, and from Google’s view, that stems from how the network is run.

Topics: cloud Networking google

Software-defined perimeter (SDP) essentials

I’ve written about SDPs a few times, as I think this model is a strong fit for today’s IT cocktail made of mobile applications, public cloud infrastructure, and pervasive security threats.

Just what is an SDP anyway? The model is really based upon the “black cloud” concept coming out of the Defense Information Systems Agency (DISA) where network access and connections are allowed on a “need-to-know” basis.  Similarly, the Cloud Security Alliance (CSA) refers to SDPs as “on-demand, dynamically-provisioned, air gapped networks.”

Topics: Network Security Cybersecurity google software-defined perimeter

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 google app engine

Learning about SDP via Google BeyondCorp

I’ve been following Google’s BeyondCorp project for a while. In fact, I was recently quoted in a Wall Street Journal blog on this topic.

If you are not familiar with BeyondCorp, it's Google’s spin on what’s become known as a software-defined perimeter (SDP).  SDP, also called a “black cloud”, originated at the Defense Information Systems Agency (DISA) and is now being driven by the Cloud Security Alliance (CSA).

Topics: Cybersecurity google software-defined perimeter

Wrapping up GCP:NEXT

ESG had several analysts on hand at GCP:NEXT to explore the announcements and developments from several perspectives. We've collected our impressions and written about them here on the ESG blog. My thoughts from the event are below, and don't forget to check out the other angles of ESG coverage.

Topics: Networking google google compute platform

Partners show the way for customers for Google Cloud Platform

At GCP NEXT, we learned about hidden stories that partners provide to the Google Cloud Platform. Given Google's renowned direct-to-consumer experience, some enterprises are naturally thinking of engaging directly with Google if they choose to use their cloud platform. But the real value, as Google said, it to meet customers where they are, as opposed to asking them to step into Google way of doing things.

Topics: google partners Cloud Platforms & Services