Cloud is no longer difficult for people to understand, express or accept. There were initial regulations and what not’s that did not make it through for cloud computing to become the stable of almost 95% of enterprise consumers.
If one looks at how everything started, thing were not looking good for cloud. The first and most basic issue for cloud computing was to make sense of the benefits they had to offer.
For those who did not understand that cloud was working in their benefit against a home grown full-fledged operation that runs through fully owned server farms. It was still difficult to explain how their data remained safe. Data sensitive domains such as government run businesses steered clear of cloud. However that too has changed. Why did that change transpire? Well it could have been because common sense prevailed.
Barry Mattacott, marketing director at security specialist Wick Hill Group, looks at the security risks of linking more and more smart devices to our networks. Are we just creating ever more vulnerable endpoints in today’s world of the Internet of Things?
Back in the good old days, we nailed the front door up tight with a firewall and we knew, that with good security on our gateway, our network was safe from the nasties of the outside world. But those pesky kids in their bedrooms, not to mention state sponsored cybercriminals, worked out that they could circumnavigate our state-of- the-art firewall by looking for a way in at the opposite end of our network - the endpoint.
So now we all agree that securing the endpoint is essential, but just where is it and what does it look like?
Since those early days, there has been a massive proliferation of endpoints and security issues have grown alongside them. You can't go anywhere or do anything without risking an infection.
Every day there are technological breakthroughs that occur behind the closed doors of research labs (and house garages where some startups begin), and then there are the breakthroughs that “go mainstream” with consumers. 2015 saw so many that it is difficult to condense the list to five. The following impressive technologies made the cut because they improve convenience, productivity, and efficiency (in addition to having that barely definable “wow” factor).
If one thing is clear, big data has a bright future ahead of it. More businesses and organizations than ever before have bought into the idea of collecting vast amounts of data, analyzing it, storing it, and eventually using it to improve operations, make accurate forecasts, and even create new products and services. With such tremendous potential, many investors have seen big data as a clear target for growth. Pinpointing just how to invest in it, however, has been a challenge. One could notice a promising startup and ride it out as the business grew or failed, depending on what they offered. A more likely scenario that investors are paying more attention to is that of data centers. In many ways, data centers are the hub from which all big data analytics is done, and as big data continues to grow, so will the data centers that feed it.
The idea of a “headless CMS” is gaining momentum lately. If you’ve not heard of it, the concept is that of a decoupled CMS in the sense that content storage and management is handled entirely separately from the presentation.
The idea, which is truly a re-hash of a debate that also occurred a decade ago – is that today’s optimal content management system isn’t one that also handles the display of the look and feel of the content it manages. It simply manages the raw, structured content in a unified repository. It then makes the content available as a “service” through an API and it is up to the developer to create and develop the presentation layer; be it in a web site, web app, mobile app etc… And, now, there are some that are passionately arguing for this model to be the new standard.
This is wrong.
Now, it may be that some of the people weren’t around when we debated the agility, flexibility and ultimate scalability of this model ten years ago. But, the argument remain the same.
For the past few years, we have heard a lot about the benefits of augmenting the Enterprise Data Warehouse with Hadoop. The Data Warehouse vendors as well as the Hadoop vendors are showcasing how Hadoop can handle unstructured data while the EDW will continue to remain as the central source in an enterprise.
The Enterprise Data Warehouse (EDW) is a standard component of a corporate data architecture because it provides valuable business insights and powerful decision analytics for front-line workers, executives, business analysts, data scientists, and software developers. The Enterprise Data Warehouse built using Teradata, Oracle, DB2 or other DBMS is undergoing a revolutionary change. As the sources of data become rich and diverse, storing them in a traditional EDW is not the optimal solution. Big data technologies such as Apache Hadoop excel at managing large volumes of unstructured data and are coming into mainstream use, by integrating with existing legacy Data Warehouse platforms to get the best of both worlds.
When it comes to content management systems, these two questions are the ones that I get asked the most:
What is the best CMS out there?
What features do I need to have in my CMS?
Here on the website, we've tried answering that question through a numberofarticles we have published over the years. But the best answer is, I don't know until I better understand your business goals and current workflow. But I can tell you with a straight face what is the most important feature your new CMS needs to have.
Cloud computing started out as a fledgling tool for businesses, but in recent years, it has grown to be one of the most beneficial and trusted tools in the modern business landscape. Like it or not, cloud computing is now mainstream, used by more businesses and average consumers than ever, and it only means the future of cloud computing will feature even more growth. With the serious effect it’s having on the business world, what does this mean for you?
Amid the release of new data* on American small businesses revealing that that, in November 2015, the economic outlook among U.S. small business owners—down nearly 2 points year-over-year—has finally stabilized after a 6-month decline, there’s cause for entrepreneurs to be optimistic for the year ahead.
Whether or not that outlook begins to uptick not only depends upon how agile, adaptable, creative and resourceful entrepreneurs can be in planning for, or reacting to, market conditions, revenue and brand-building opportunities and other key concerns, but also how well they maintain a forward-thinking mindset.
Towards this end, tomorrow’s smart and successful entrepreneur will have their bases well-covered on these five fronts in particular.
Are you cut out for the challenge of being Chief Information Officer? The wide range and difficulty of tasks at the CIO level can instantly become crushing to those who have previously been warehoused in managerial positions. The new generation of CIOs has to deal with customers that want instant access and support, wherever they happen to be. As a data science expert, a CIO needs not only technical skills, but leadership skills as well. In order to make it in 2016, you need to be strategic about your career. You need to be a negotiator of change.
Not everybody has what it takes to be in charge of technology and data science at the executive level. So what data science skills do you need in 2016? The answers may surprise you.