Ajay Budhraja Cloud Big Data


Subscribe to cloudbigdataajaybudhraja: eMailAlertsEmail Alerts newslettersWeekly Newsletters
Get cloudbigdataajaybudhraja: homepageHomepage mobileMobile rssRSS facebookFacebook twitterTwitter linkedinLinkedIn

Top Stories

For those unfamiliar, as a developer working in marketing for an infrastructure automation company, I have tried to clarify the different versions of DevOps by capitalizing the part that benefits in a given DevOps scenario. In this case we’re talking about operations improvements. While devs – particularly those involved in automation or DevOps will find it interesting, it really talks to growing issues Operations are finding. The problem is right in front of us, we’re confronting it every day, and yet a ton of us aren’t fixing it for our organizations, we’re merely kicking the ball down the road. The problem? Complexity. Let’s face it, the IT world is growing more complex by the week. Sure, SaaS simplified a lot of complex apps that either weren’t central to the business we’re in or were vastly similar for the entire market, but once you get past those easy picking... (more)

Qubole: Cloud-Native Big Data Platform for Everyone

An Intellyx Brain Candy Brief The founders of Qubole ‘insight-enabled’ every employee during their tenure at Facebook. When they left the company, they decided to spread the love to everyone who needs to work with data, with one essential difference from their work at Facebook – Qubole had to be public cloud-native. The result: a massively scalable big data platform that runs natively in AWS, Azure, and Oracle’s cloud, with Google coming soon. Qubole provides access to a variety of open source big data technologies including Hadoop, Spark, Presto, Hive and others – with custom source code tweaks to make them run better in the cloud. Qubole targets its platform at anyone who uses data, from business users to data engineers to data scientists. Furthermore, such users can use Qubole’s user interface, RESTful APIs, JDBC/ODBC connectors or other technologies for accessin... (more)

Integrate #Blockchain into Business | @CloudExpo #IoT #AI #FinTech #Bitcoin

Beyond Bitcoin: How Enterprises Can Integrate Blockchain into Business By Kristy Blackmon In 2016, blockchain technology came close to hitting its peak on Gartner's annual Hype Cycle, signaling an imminent shift from an emerging, theoretical technology to widespread adoption. Like cloud, big data, and the Internet of Things (IoT) before it, blockchain is the tech industry's latest Next Big Thing. Analysts and industry experts say it holds immense potential for organizations, but many business leaders don't yet see a practical application for their operations. While a lot of people know blockchain is the technology behind Bitcoin, Ethereum, and other cryptocurrencies, what about enterprise applications in other industries? What exactly is blockchain? The code that makes up blockchain is incredibly complex, and only a few thousand people understand it. On a high level... (more)

Meta-Learning | @CloudExpo @ProgressSW #BigData #AI #ML #DX #Analytics

True Democratization of Analytics with Meta-Learning By Mark Troester There are many solutions that claim to democratize analytics, but they are really constrained. A meta-learning approach democratizes without limits. The democratization of analytics has become a popular term, and a quick Google search will generate results that explore the necessity of empowering more people with analytics and the rise of citizen data scientists. The ability to easily make better use of your (constantly growing) pool of data is a critical driver of business success, but many of the existing solutions that claim to democratize analytics only do so within severe limits. If you have a complex business scenario and are looking to get revolutionary insights using them, it’s easy to come away disappointed. However, the democratization of analytics isn’t just a buzzword that refers to a n... (more)

IIoT Top News: Long Live Big Data!

As the IIoT continues to improve the way in which we collect and translate information, the buzzword on everyone’s mind today is “big data.” In fact, the market just for big data software is expected to grow 50 percent by 2019, and furthermore, spending in 2015 is already estimated at $15.85 billion on this technology. Why so much investment? The expectation is that big data initiatives will improve operational efficiencies by the large-scale storage and transfer of volumes of information safely and securely. Companies don’t always see the value in updating their information governance policies because there isn’t always a direct reward and no direct penalty for not complying. Tim Jennings, Ovum chief research officer, believes as big data continues to grow enormously within the company infrastructure, it is time to consider the security, availability, and time sp... (more)

Design-thinking at IBM | @CloudExpo #Bluemix #BigData #IoT #Microservices

The Sunday New York Times published this article on IBM’s new way of thinking that is worth reading. The article states – The company is well on its way to hiring more than 1,000 professional designers, and much of its management work force is being trained in design thinking. “I’ve never seen any company implement it on the scale of IBM,” said William Burnett, executive director of the design program at Stanford University. “To try to change a culture in a company that size is a daunting task.” If you ask people inside IBM for a design-thinking success story, they are likely to mention Bluemix, a software tool kit for making cloud applications. In just one year, Bluemix went from an idea to a software platform that has attracted many developers, who are making apps used in industries as varied as consumer banking and wine retailing. In the past, building that kind... (more)

The Top 10, Top 10 Predictions for 2016 By @PSilvas | @ThingsExpo #IoT #Cloud

The time of year when crystal balls get a viewing and many pundits put out their annual predictions for the coming year. Rather than thinking up my own, I figured I’d regurgitate what many others are expecting to happen. 7 Future Predictions for the Internet of Things – IoT is one of the hottest terms and trends. From connected cars, homes, businesses and more, connected devices are becoming more prevalent in our lives. Stable Kernel looks at the future economic growth, development of smart cities, wearables, privacy challenges and how voice commands will become the norm. Top 10 Humanoid Robots Designed To Match Human Capabilities And Emotions – While once a dream of The Jetsons, companion robots in the home will become as common as pets, even if the pet is a robot. WT VOX explores whether robots could fully replace humans by 2045 as some predict and takes a look at t... (more)

NFV Microservices | @CloudExpo #DevOps #SDN #Docker #Microservices

As AT&Ts VP of Domain 2.0 architecture writes one aspect of their Domain 2.0 strategy is a goal to embrace a Microservices Application Architecture. One page 9 they describe how these envisage them fitting into the ECOMP architecture: "The initial steps of the recipes include a homing and placement task using constraints specified in the requests. ‘Homing and Placement' are micro-services involving orchestration, inventory, and controllers responsible for infrastructure, network, and application. The goal is to allow algorithms to use real-time network data and determine the most efficient use of available infrastructure capacity." This was a scenario industry expert Tom Nolle envisaged, and vendors like Ciena have re-engineered their telco platform offering accordingly. This last point highlights how they will interface with the DCAE big data smart management frame... (more)

What Is #DigitalTransformation? | @ThingsExpo #AI #DX #IoT #SmartCities

For a phrase that’s being thrown around a lot recently, what does “Digital Transformation” really mean? When someone says that they want to digitally transform their business, what does one really mean, why do they want to do it, and should they approach this “digital transformation” process? First off, let’s start with a definition. If we don’t know what we are trying to achieve, then how do we know how to get there? Or to quote the famous Greek philosopher Yogi Berra: “If you don’t know where you are going, you’ll end up someplace else.” In a recent blog “How To Achieve Digital Transformation,” I stated with the following definition of Digital Transformation: “The coupling of granular, real-time data (e.g., smartphones, connected devices, smart appliances, wearables, mobile commerce, video surveillance) with modern technologies (e.g., cloud native apps, big data ... (more)

Steamlined Data Refinery | @ThingsExpo #BigData #IoT #M2M #API #SDR

Yesterday I attended a session in Palo Alto on the subject of Data Refinery and the speaker was Will Gorman of Pentaho. I did not realize that Pentaho was acquired by Hitachi Data Systems couple of months ago. The terms “data lake” was coined by James Dixon of Pentaho. I wrote a blog on this subject last year. As soon as the term started to appear in the data lexicon, other interesting terms such as “data swamp” appeared. The term data lake has been coined to convey the concept of a centralized repository containing virtually inexhaustible amounts of raw (or minimally curated) data that is readily made available anytime to anyone authorized to perform analytical activities. The often unstated premise of a data lake is that it relieves users from dealing with data acquisition and maintenance issues, and guarantees fast access to local, accurate and updated data with... (more)

Episode #36: Current Cloud Trends from AWS re:Invent 2015

Our guest on the podcast this week is Mike Draper, Vice President, Principal Architect at Cloud Technology Partners. We discuss 2015 cloud trends and news from this year’s AWS re:Invent. With topics from big data, application migration, security, and internet of things, there is no shortage of new products and services available in the industry. The most notable announcements so far have been the release of AWS Database Migration Service and Snowball, a 50TB shippable data storage appliance. Check out this episode! ... (more)