MongoDB 2.6 was released in March, 2014 (over 24 months ago). We are now approaching the end of life of this major version, and we will sunset support for MongoDB 2.6 at the end of October, 2016.
We encourage users to upgrade to version 3.0 or 3.2 soon . For customers who still use 2.4, note that upgrading from version 2.4 to 3.0 will require an intermediary upgrade to 2.6. Review the MongoDB downloads page to find the latest stable releases and begin your upgrade.
Information about the features in MongoDB 3.2, in addition to best practices around upgrading your version of MongoDB, can be found in our on-demand webinar.
If you would like hands-on assistance with your upgrade, our professional services team offers a Major Version Upgrade consulting service. Please contact your account executive for pricing, details, and scheduling.
Learn how to build an upgrade plan. Watch our on-demand presentation covering the best practices for upgrading to MongoDB 3.2.
What does the Retailer of the Future Look Like?
Cher Horowitz (You remember her right? From Clueless?) wakes up in her home on Monday morning to get ready for school. It’s January in Beverly Hills, and it’s gotten a bit chilly, so she rushes to her phone to try on some coats she’s recently liked on Instagram. She opens an app that brings her to a virtual fitting room. In the closet are all the recent items she’s liked on Instagram, with price listings from different retailers. She tries on a number of coats and picks one from Net-a-porter. In a few minutes, a drone comes to her front door with her new coat. She gets in her Escalade and heads to school. This is the future of the digitally oriented consumer, the future of retail, and it is all based on urgency. An urgency to react to data that can drastically improve the customer experience. In the late 90’s and early 2000’s, older retailers were beat by the rise of .com giants like eBay, Zappos and Amazon. This gave something exceptional to the consumer: the power of choice. They could shop anywhere, they could browse anytime, and they could make a decision at any time. Now, retailers like you are embracing technology as a competitive differentiator to keep in touch with new digital consumers and offer them exceptional customer experiences. Here’s how retailers are using the power of data to unleash innovation now and how you can innovate in the future. Welcome to the present and future of data-driven retail. The Retailer of Now Organizations are actively leveraging data to empower their business outcomes, especially in retail. In this landscape Data means a better customer experience and allows for personalization and optimal delivery of your products. Omnichannel View of the Business The number of selling and interaction channels has grown tremendously. Customers can interact with retailer’s products on their phone, laptop or tablet, and, as is often the case, they may browse products after being prompted by a Twitter, Instagram or Facebook post, all before making a purchase on your site. Data-driven retailers deliver great customer experiences across these different channels with accurate product availability so customers can get what they want when they want it. The most sophisticated retailers, like Urban Outfitters with its brands Anthropologie, BHLDN, Free People, Terrain, and Urban Outfitters, make the experience seamless across channels. Personalization Having digital consumers gives you a huge opportunity: for the first time, you can really understand how your users think, allowing you to adapt your products to their needs. In this way being data-driven makes your customer the center of the show. GILT Groupe, known for its online flash-sale business model, allows customers to see their favorite brands when they even log in just by leveraging its user preference service. MongoDB enables Gilt to tailor the homepage layout for millions of users – all at once, and while delivering stable, consistent performance. Invest in data analytics tools to better understand your users and engineer customized experiences for customers and create quality mobile experiences to capture customer engagement across many channels. Supply Chain Management In 2015, consumers spent an estimated $1.7 trillion online. To meet the delivery expectations of these customers, fast order fulfillment is a critical business objective. Many global brands, like Gap, keep a growing number of regional warehouses and fulfillment centers to keep pace with demand and deliver products quickly. They are focused on developing efficiencies that keep shipping costs as low as possible while delivering a great customer experience. You can optimize delivery with technology, beyond just tracking packages. When designing systems for Distribution Centers, you need to engineer processes to balance the constraints of the physical world, such as protecting against mishaps like lost goods and time. For example, these systems need to minimize movements and pick and pack time for associates, optimize for speed and costs of shipping across dozens of shipping partners, and reduce the number of lost goods in the distribution center. How can data help? Hourly inventory updates give logistics management in Distribution Centers the insights to plan and act on inefficiencies as packages are sorted and sent out for delivery. This optimization and up-front information ensure you can focus on delivering a great customer experience along with great products. The Retailer of the Future Virtual Dressing Rooms In the 90's cult classic, Clueless, the protagonist, Cher, has a computer that helps her pick out her outfits. In the same way that Zappos simplified online retail for shoes with free delivery and returns, augmented reality will transform the experience of shopping at home. This luxury of convenience is slowly becoming part of the retail playbook with apps like Styliff and Toshiba’s digital changing booth or Chico’s interactive Tech Tables. In the future, you’ll be able to send a new resort collection directly to your customers via these virtual fitting rooms in snowy January, so they don’t have to leave their house to try on their clothes. The Internet of Subscriptions We’ve all heard the story of the smart refrigerator, a machine so smart, it orders refills for milk when it’s almost out. Retail can look to this model for future revenue generation and customer retention. Amazon’s current model of “subscribe and save” is a precursor to the Internet of Subscriptions. The connected home will be in constant communication with your retailer on what you need in stock, whether it be milk, diapers, or sponges. With this model, retailers can retain loyal customers, understand their buying habits and can offer better personalization. Payments Mobile devices today are as powerful as desktop computers in the 90’s, opening a value chain for innovators like Stripe, Square and Poynt to rapidly innovate in the payments industry, one that is ripe for innovation. The future retailer will be attuned to consumer needs, and installing smarter, more secure payment machines in their retail stores, powered by mobile devices. In a similar vein, the future will see an end to the war on cash. Venmo introduced non-card real-time payments and Snapchat launched Snapcash, online chat-based payments powered by Square. McKinsey predicts that by 2018 these real-time payments can create additional revenue of $80 Billion. Using SMS to power payments in developing countries, like India and Nigera, where an estimated 84% of people have cell phones (and less than 24% have smartphones) could be a large revenue stream for brands. Use Data to Serve the Digitally-Oriented Consumer Data will be at the core of customer experience. The new digitally-oriented consumer will expect personalization, information and gratification. These evolving behaviors can pose a challenge for retailers, but they also represent a tremendous opportunity to harness and mobilize data to pull themselves ahead of the competition. Take a deeper dive into the technical challenges of retail organizations today and see how they can be solved with MongoDB, the database for giant ideas. Learn more about the challenges of retail and how MongoDB addresses those challenges in our white paper. Serving the Digitally-Oriented Consumer Thanks to Dror Asaf, Samir Despande, Aleksandar Tolev, Michael Grayson, and Ajeeth Ganapathinageswaran for their helpful insights.
Oxford Nanopore Technologies Powers Real-Time Genetic Analysis Using Docker, MongoDB, and AWS
Genetic analysis is entering the mobile age. Earlier this year scientific journal Nature published a paper showing how Ebola researchers in Guinea were able to analyse genetic material in hours, rather than the weeks it had previously taken. This increased speed meant doctors could better understand the spread of the disease. Then quickly develop strategies to stop it. The hardware that enabled the genetic analysis is the MinION, from UK-based Oxford Nanopore Technology. The stapler-sized MinION is the data-capture side of the analysis, but for the purposes of this article we’re interested in data processing and analysis. In particular how Oxford Nanopore has been able to build a fast, agile and powerful cloud-based platform that has the potential to deliver biological analyses to any scientist, at any time, anywhere in the world. The applications for this genetic analysis go far beyond the medical field and disease control. Oxford Nanopore is using technologies like MongoDB, Amazon Web Services, and Docker containers in its stated goal: “to enable the real-time analysis of any living thing, by any user, in any environment.” A Billionth of a Meter The MinION does its genetic magic through the use of nanopores. Each nanopore is just a billionth of a meter wide. The technology in the MinION threads the genetic material through the nanopores where tiny differences in each sample can be registered as electrical disruptions. If you want a more detailed explanation of nanopores, check out Oxford Nanopore Technologies’ website. DNA sequencing can be associated with predictive human questions alone, for example “what probability is there that this person will develop a specific disease?” But human genome research is just a part of the equation, and the portable nature of the MinION means it might be suitable for a more diverse range of questions: Is the soup I’m about to eat safe? What type of disease am I looking at? Where did this pathogen originate? How can we grow more resilient plants? Is this hospital ward clean? Crucially, these questions need to be answered quickly, and in a range of environments – from the science lab to the middle of the jungle. Three Billion Bases in the Cloud The cleverest sequencing tool in the world would be worthless if we were unable to process and understand the data it created. To deal with the volume and velocity of processing billions of lines of DNA, Oxford Nanopore Technologies built analysis capabilities offered by Metrichor, on powerful software that can scale seamlessly in the cloud. Richard Carter, Associate Director, Data Integration at Oxford Nanopore gave a presentation at MongoDB Days where he noted: “When we began building Metrichor services, it was clear our data would not fit in the neat rows and columns of a relational database. We needed a database that could look at our complex information in more flexible and dynamic ways. It was a straightforward decision to go with MongoDB. It’s robust, best of breed, and has the data modelling and analytics flexibility we required. We also observed the technology has an incredible community behind it, coupled with extensive documentation and training. All of which enable us to get productive with the technology much faster.” The DNA data is read locally onto the MinION and it’s then sent to an Amazon Web Services cloud. The findings are then analysed before the results are sent back to the user’s laptop or displayed in web reports. All of this is driven by, and stored in the non-relational database MongoDB. Docker containers are used to package, deploy and run the software across the cloud deployment. Carter also noted that: “The biology and hardware is the real trick, of course, but we needed power and scalability to run cloud based services as we wished.” There were other challenges the team had during development of their software. They had a technical goal and a number of ways they could reach it while keeping the focus on the biology. It was essential they had the freedom to experiment and make significant changes as they went along. “Happily, MongoDB supports an evolutionary approach to development.” explained Carter. “We were spinning up instances and working on the science almost instantly. The database got out of the way.” Carter’s team does not have a database administrator. They have found that MongoDB Cloud Manager is able to provide all the monitoring data needed to keep a deployment healthy. Features like simple, automated deployment across any cloud region, continuous backups, and telemetry visualisations also mean administration doesn’t monopolise the developers’ time. Giant Ideas Guinea is just one of the many places where researchers are using Nanopore’s data architecture for analysis. In fact, NASA will soon be using the MinION for testing biological molecules on the International Space Station. Regardless of the location, the combination of rigorous science and the power of cloud computing is ushering in a new way of understanding the world. Read more about MongoDB and its implementation on the AWS cloud platform. MongoDB on AWS: Guidelines and Best Practices About the Author - Mat Keep Mat is director of product and market analysis at MongoDB. He is responsible for building the vision, positioning and content for MongoDB’s products and services, including the analysis of market trends and customer requirements. Prior to MongoDB, Mat was director of product management at Oracle Corp. with responsibility for the MySQL database in web, telecoms, cloud and big data workloads. This followed a series of sales, business development and analyst / programmer positions with both technology vendors and end-user companies.