Archive for category Cloud Computing
The biggest week of the Big Data calendar is here. Kicking off tomorrow #theCUBE is live at #BigDataNYC 2014 for two days of continuous coverage. We’ll be interviewing Big Data practitioners, thought-leaders and technologies live from the Hilton Times Square in New York City. Watch live coverage at live.siliconangle.tv.
On Thursday (10/16) afternoon, tune in to catch my presentation to capital markets professionals on the state of Big Data in the enterprise, the implications for IT heavyweights (Oracle, SAP, Teradata, etc.) and what savvy investors need to consider when placing their bets on the Big Data market. Following my presentation, we’ll have a live panel discussion to continue the conversation. Panelists include myself former Nokia Big Data team lead (and current Cloudera Big Data Evangelist) Amy O’Connor, Big Data Guru and CEO of Tresata Abhi Mehta, and former Cowen and Company software analyst Peter Goldmacher.
This week there are two important enterprise technology conferences taking place. One – SAPPHIRE 2014 – will see an old guard enterprise tech giant attempt to show it is capable of adapting to a technology landscape increasingly dominated by the cloud and Big Data. The other – Hadoop Summit 2014 – will see dozens of start-ups born in this new world out to prove to cautious CIOs that their technologies and platforms are ready for enterprise-level workloads.
It’s an interesting juxtaposition. SAP is determined to join the ranks of the “cool” cloud and Big Data companies (Salesforce.com, Hortonworks, Amazon Web Services), while those cool companies are equally determined to join the “enterprise-grade” club dominated by IBM, Oracle and, yes, SAP.
IBM’s annual revenue last year dropped below $100 billion for the first time since 2010. The company’s fourth quarter results were particularly weak, coming in 5.5% below expectations. This was due in large part to IBM’s struggling hardware business, with revenue dropping a staggering 27%.
I’ve already laid out my predictions for Big Data in 2014, but I also wanted to let the Wikibon community know how my colleagues and I plan to cover Big Data in the year ahead. We’ve organized our research agenda into three major buckets.
Technology. Clearly the technologies and products that collectively make up Big Data – including Hadoop, NoSQL data stores, analytic databases, data visualization tools and more – are maturing at a rapid pace (much faster, for example, than relational databases did in the 1980s.) Big Data is also applicable across industries, meaning these technologies are inevitably and increasingly intersecting with adjacent technology movements, namely the cloud, mobile computing and social media. As we have for the last several years, Wikibon will devote significant coverage to these developments with an eye on putting technology innovations in context for enterprise Big Data practitioners (both technology practitioners and line-of-business practitioners.)
To say that there is a whole lot of significant advancement to be seen on the expo floor at VMworld 2013 is an understatement. There seems to be movement in just about every area of IT. One aspect of the IT environment that remains a challenge for many revolves around disaster recovery. While many organizations have done a reasonable job taking their backup and recovery processes to a level that can protect against hardware and software faults, cost and complexity have prevented many organizations – particularly those in the SMB space from achieving truly effective DR.
One of reasons that I love consulting and love attending events where I meet with end users is that I get to “keep it real” by seeing what’s really happening out in the real world as opposed to what analysts think should be happening in the data center and across the IT spectrum. To listen to some of the typical tech media, one would think that everyone is now running their data centers inside public clouds or hybrid clouds and that the IT group is now completely focused on accelerating the business and technology issues are a thing of the past.
I’ve always been of the mindset that turnover in personnel is generally a good thing, particularly at the top of the organization. Like all things, organizations need to adapt or they will die while time passes them by and the market chooses alternatives that better fit the times. This morning, Microsoft announced that Steve Ballmer, CEO since 2000, will retire within the next twelve months and that the Microsoft board has created a committee to identify his successor.
Windows NT is still in use. Sure, it’s only running on 0.11% of today’s systems, but for a variety of reasons, there are still a lot of Windows NT 4.0 implementations out there.
Windows 2000 is still in use, too. In fact, I still see Windows 2000 servers running at client sites and happily working away at whatever it is they are doing.
Windows Server 2003 systems are still in pretty wide use and I see them on a regular basis at client sites. Many Windows Server 2003 systems continue to support infrastructure operations roles, such as Active Directory, DNS, and DHCP. Further, I still see Windows Server 2003 systems hosting applications for organizations.
Recently, IBM announced a $1 billion initiative intended to improve the overall flash storage market and integrate flash storage in the company’s line of enterprise technology equipment, including servers, storage, and other products. The company feels that flash-based storage is an a tipping point in the marketplace and is poised to become much more widely used, thanks to the incredible performance gains offered by the technology. Further, as is the case with any technology, as it approaches a critical mass point, the overall costs of the technology begin to drop and this is certainly happening with flash storage. There are also other significant cost benefits to flash-based storage, such as reduced power consumption. At scale, such power savings can be real and significant.
Whether it’s considered a blessing or a curse, CIOs today have a multitude of options at their disposal when it comes to running workloads. In general, there are four options:
- On-premises – physical server.
- On-premises – virtual machine.
- Off-premises – hosted.
- Off-premises – cloud.
Over the past decade, the issue of whether to run on-premises workloads on physical hardware vs. virtual infrastructure has become pretty easy for organizations to assess, with the majority of new workloads being run inside virtual machines. That said, there are still a good number of applications deployed on physical hardware.